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Free Download Real Life - [AUDIOBOOK] mp3, pdf | 13.19 GB | Author: Brandon Taylor | Year: 2020 Description: Category:Awards, Fiction, Literature, American Fiction, Fiction Subjects, Peoples & Cultures - Fiction, African American Fiction, 21st Century American Fiction, Settings & Atmosphere - Fiction, LGBT Fiction, African Americans - Fiction & Literature, Character Types - Fiction, 21st Century African American Fiction, Academic Settings - Fiction, African Americans - LGBT Fiction, African Americans - Men's Experience - Fiction, Circle of Friends - LGBT Fiction, Students and Scholars - Fiction, 2020 Booker Prize Shortlist, 2020 National Book Critics Circle Award Finalists, 2021 Young Lions Fiction Award Finalists, New York Times Notable Fiction of 2020, New Yorker's Favorite Fiction of 2020, Vanity Fair's Best 15 Books of 2020 Download Link: https://fileaxa.com/kox6zfqitbtm https://fileaxa.com/8pk117dmeev1 https://fileaxa.com/x2rr9fqy8x0f https://fileaxa.com/m5gphna8oggv https://fileaxa.com/vfxtn3y8qllp https://fileaxa.com/bdm7rox9qmz2 https://fileaxa.com/cx0g5t2w99hd https://fileaxa.com/dzwqfya37eee https://fileaxa.com/a9g8losthc4w https://ddownload.com/ingh2jt4zboh https://ddownload.com/292jskzjjh0q https://ddownload.com/qot7q0hi0q2u https://ddownload.com/cf9zhfj39vra https://ddownload.com/vd3cm2zbc3i8 https://ddownload.com/siow97qlpgdo https://ddownload.com/pedzx1lqj5gj https://ddownload.com/qrkolckjvo5u https://ddownload.com/76nh9hag5q3y https://rapidgator.net/file/33c8ea354fb3ceca42baa26e51d04fcc/ https://rapidgator.net/file/a646ecb59d376cb3094189cb7a2ff06a/ https://rapidgator.net/file/d7c206dd244a997ce7d35beb69d4e865/ https://rapidgator.net/file/c592b4adae6f89e67a03b039ea14f1ea/ https://rapidgator.net/file/7e81cebe553b86d0bbf7d8ffbb7cacdc/ https://rapidgator.net/file/64f57038c074f7c7257b4ba8c74a1c38/ https://rapidgator.net/file/cca7cff33ac40ce950c745a8fce6a601/ https://rapidgator.net/file/0a7268f611934ad8ee9f6cfbd358547d/ https://rapidgator.net/file/daf91e38d91a2ada97f4c6778358a3e9/ https://turbobit.net/ls3ywibgp1hu.html https://turbobit.net/nzh34er334eu.html https://turbobit.net/nmhyh8n0169w.html https://turbobit.net/4i0db6flfo3b.html https://turbobit.net/rhmk1dhm6mjr.html https://turbobit.net/dljvowjem0fp.html https://turbobit.net/bopvehngz5vv.html https://turbobit.net/3l90kdostba7.html https://turbobit.net/qhgvgwttavr6.html

Free Download SAP ReFx - Flexible Real Estate Management Published 10/2024 Created by Rama Shanker Sharma MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 12 Lectures ( 12h 40m ) | Size: 5.3 GB SAP ReFx - Flexible Real Estate Management What you'll learn This course includes business process of SAP Flexible Real Estate Management , required transactions to be executed for the process and relevant configurations. People who want to make their career as SAP ReFx consultants, this course is best suitable to understand the business processes and all relavant settings . This course includes the master data of ReFx and CRE-Commercial Real Estate Management Hands on experience on ReFx Requirements Basic knowledge of SAP and Real Estate Management business process understanding Description This course explains deep understanding of SAP Flexible Real Estate Management (ReFx). In this course I have taken some business case and explained the scenarios along with transactions and relevant configuration requirement. this course covers all basic setting required for ReFx and required relevant configuration for FICO.The real estate contract lets you manage all contracts related to your real estate portfolio:Real estate contracts of the lease-in category (such as, commercial, internal, residential)Real estate contracts of the lease-out category (such as, commercial, internal, residential)General customer contracts (such as, service contracts with the tenant)General vendor contracts (such as, maintenance contracts with a service provider)G/L account contracts (such as, for posting reserves for service charges)Security deposit agreementsYou can assign any number of rental objects from different business entities, buildings or company codes to any one contract. When defining conditions and other contract terms, you can group the assigned objects together into object groups .Space and room management takes account of unusual architectural structures, usage considerations, as well as technical amenities and features. You can define spaces flexibly and rent them (extracting them from a larger available space). In addition, data exchange with external graphic systems allows you to visually represent your real estate objects. Who this course is for People who want make career as SAP ReFx Consultant Homepage https://www.udemy.com/course/sap-refx-for-consultant/ Screenshot Rapidgator https://rg.to/file/0912e1e298cf3c791f988e43423b09da/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part4.rar.html https://rg.to/file/150fe16d60370ce39eb91f0e28cf1a5a/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part1.rar.html https://rg.to/file/3b63fad96e8a73abb1f032657737d07d/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part6.rar.html https://rg.to/file/431952c94c841c42c62c9155bc5b904d/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part2.rar.html https://rg.to/file/4b59e8b0c4f0b59c270518c19ad7368b/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part5.rar.html https://rg.to/file/80cd280da13a80690c16e460166d0715/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part3.rar.html Fikper Free Download https://fikper.com/DYt6Uxgdhs/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part6.rar.html https://fikper.com/EIUnuoCQsE/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part3.rar.html https://fikper.com/HKhGymIMy1/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part4.rar.html https://fikper.com/aTVlFAIrwZ/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part5.rar.html https://fikper.com/lE83mQQKfd/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part1.rar.html https://fikper.com/oDbMa15Pcw/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part2.rar.html No Password - Links are Interchangeable

Free Download Real-Time Operating Systems Design and Implementation Published 10/2024 Created by Dr. R. Anto Arockia Rosaline,Nancy p,Vinod D MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 41 Lectures ( 5h 36m ) | Size: 4.14 GB Process Synchronization, Process Scheduling, Deadlocks, Memory Management, Disk Scheduling What you'll learn Choose the relevant process and thread concepts for solving synchronization problems. Implement different types of scheduling algorithms. Exemplify various deadlock mechanisms. Apply paging and segmentation in memory management and incorporate page fault handling, demand paging. Demonstrate the storage management techniques through various File Management techniques. Requirements No Programming experience required. Description This course offers a comprehensive introduction to fundamental operating system concepts, focusing on key areas like process synchronization, scheduling, memory management, and disk handling. You will gain an in-depth understanding of synchronization techniques such as the Bounded Buffer Problem, Peterson's Solution, Mutex Locks, Semaphores, and the Reader-Writer Problem, which are critical for managing the coordination between multiple processes. The course also covers a wide range of scheduling approaches, including thread scheduling, real-time CPU scheduling, and multi-processor scheduling, all aimed at optimizing CPU resource allocation for better performance.In addition to process management, you'll dive into deadlock handling, learning methods to detect, prevent, and recover from deadlocks, ensuring system stability and efficiency. The course covers essential memory management techniques like swapping, segmentation, paging, and virtual memory, which are critical for efficient data handling. Practical strategies for implementing page replacement policies and avoiding thrashing are explored, giving you the tools to manage memory allocation effectively in high-demand situations.Disk management is another major focus of the course, where you'll learn about disk scheduling algorithms, RAID structures, and file system organization. The course emphasizes important aspects of file sharing and protection mechanisms to ensure secure and efficient file access and management.By the end of the course, you will have developed the skills and knowledge needed to tackle real-world operating system challenges. Whether you are a professional, developer, or a tech enthusiast, this course is ideal for those seeking to deepen their understanding of operating systems. Who this course is for This course is tailored for undergraduate students pursuing degrees in computer science, information technology, or related disciplines. It is ideal for learners seeking to gain a solid foundation in the core principles and functions of modern operating systems. Homepage https://www.udemy.com/course/real-time-operating-systems-design-and-implementation/ Screenshot Rapidgator https://rg.to/file/13857b0561971601da88980b8a5a3b4c/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part3.rar.html https://rg.to/file/6cd997b5f0bb6c54d40b0d1d2b247add/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part1.rar.html https://rg.to/file/7f359a340fd3e7668ee73d99189992f5/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part2.rar.html https://rg.to/file/84ad867ca09499ce77cc40bf9d76fd64/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part4.rar.html https://rg.to/file/f74a72507d6ceb94b7fda5c143971dc2/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part5.rar.html Fikper Free Download https://fikper.com/0orEJO4QS7/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part3.rar.html https://fikper.com/Vivj7rpl0M/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part4.rar.html https://fikper.com/m8g1IqSikJ/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part1.rar.html https://fikper.com/qN8rldbbCt/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part5.rar.html https://fikper.com/tku8ParFbZ/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part2.rar.html No Password - Links are Interchangeable

Free Download Real World Hacking & Bug Bounty Hunting - XSS & SQLi Edition Published 10/2024 Created by Vulnsec HBCP MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 20 Lectures ( 2h 51m ) | Size: 1.82 GB Master Practical XSS & SQL Injection for Real-World Hacking & Bug Bounty Hunting & Penetration Testing & Ethical Hacking What you'll learn Real World scenarios Advanced payload crafting for XSS and SQLi exploitation. Using automated tools to detect and exploit XSS and SQL vulnerabilities. Database exfiltration Real World Targets Defensive techniques to prevent XSS and SQL Injection. Exploiting SQL Injection attacks to bypass authentication and extract data. WAF Bypass Identifying XSS vulnerabilities in real-world applications. Bug bounty strategies to maximize rewards for web vulnerability findings. Requirements No experience needed No prior knowledge are needed Description Unlock the secrets of web hacking and bug bounty hunting with Real World Hacking & Bug Bounty Hunting: XSS & SQL Edition. This course is designed to provide you with hands-on experience in discovering and exploiting two of the most common web vulnerabilities: Cross-Site Scripting (XSS) and SQL Injection (SQLi). Whether you're an aspiring ethical hacker, a bug bounty hunter, or a developer, this course will equip you with the practical skills to identify, exploit, and prevent these critical vulnerabilities.In this course, you'll dive deep into real-world scenarios to learn how XSS and SQL Injection attacks work in practice. Starting from the basics, we will explore how these vulnerabilities are introduced into web applications and how attackers leverage them to steal data, manipulate databases, and take control of user accounts. You'll not only understand the theoretical concepts behind these attacks but also gain the ability to craft advanced payloads and execute attacks in real-world environments.Some key topics you'll cover include:How to detect and exploit XSS vulnerabilities across various types of web applications.The intricacies of SQL Injection attacks, from basic queries to advanced exploitation techniques.The use of automation tools to aid in vulnerability scanning and exploitation.Defensive coding practices that prevent XSS and SQL Injection attacks.Proven bug bounty strategies to help you find vulnerabilities and maximize your earnings.By the end of this course, you will have a strong understanding of how to hunt for and exploit XSS and SQL Injection vulnerabilities in real-world applications. This knowledge will give you an edge in the competitive field of cybersecurity and bug bounty hunting. Who this course is for Aspiring ethical hackers and penetration testers who want to master XSS and SQL Injection vulnerabilities. Bug bounty hunters seeking real-world insights to identify and exploit web application weaknesses. Cybersecurity enthusiasts looking to deepen their understanding of web vulnerabilities and secure coding practices. Developers aiming to learn how to identify and mitigate XSS and SQL Injection vulnerabilities in their applications. Intermediate-level security professionals who want hands-on experience with practical hacking techniques used in the wild. Homepage https://www.udemy.com/course/real-world-hacking-bug-bounty-hunting-xss-sql-edition/ Screenshot Rapidgator https://rg.to/file/a622b9619b0c1df52a0a4391304774b1/oobqe.Real.World.Hacking..Bug.Bounty.Hunting.XSS..SQLi.Edition.part2.rar.html https://rg.to/file/ab7f7d51953ed16561e8a47aa9e9d081/oobqe.Real.World.Hacking..Bug.Bounty.Hunting.XSS..SQLi.Edition.part1.rar.html Fikper Free Download https://fikper.com/0IXd6g1tie/oobqe.Real.World.Hacking..Bug.Bounty.Hunting.XSS..SQLi.Edition.part2.rar.html https://fikper.com/dYOx7WFsbF/oobqe.Real.World.Hacking..Bug.Bounty.Hunting.XSS..SQLi.Edition.part1.rar.html No Password - Links are Interchangeable

Free Download Real Estate Financial Modeling - Basics to Expert Case Study Published 10/2024 Created by EDUCBA Bridging the Gap MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 91 Lectures ( 12h 1m ) | Size: 5.1 GB Real estate skills with hands-on modeling skills, in-depth property valuation techniques, and dynamic case studies. What you'll learn Understand the basic concepts and terminology of real estate. Identify different types of real estate and their characteristics (residential, commercial, land). Analyze the real estate market and recognize opportunities. Evaluate factors influencing supply and demand in the real estate sector. Apply real estate valuation methods, including discounted cash flow (DCF) analysis and the Percentage of Completion method. Understand the cost components associated with real estate properties. Identify and evaluate risks associated with real estate investments for both lenders and borrowers. Analyze liquidity risks and factors affecting the valuation of properties. Calculate lease rentals and understand the concept of terminal value. Analyze cash flows for debt service and understand the debt service coverage ratio (DSCR). Engage in case studies to apply theoretical concepts to real-world scenarios. Understand the implications of upfront and deferred collections in real estate financing. Utilize key financial metrics such as EBITDA and IRR for investment analysis. Conduct cash flow analyses for equity investors. Employ comparable transaction methods to assess property value. Analyze demographic data and market conditions for investment decisions. Requirements Basic Understanding of Real Estate Concepts A basic understanding of mathematics, including algebra and statistics, is necessary for financial calculations and modeling. Proficiency in Microsoft Excel or similar spreadsheet software is required, as the course involves extensive use of spreadsheets for modeling and analysis. Description Real estate finance can be complex, but mastering it is essential for anyone aiming to work in real estate investment, development, or finance. This comprehensive course offers a deep dive into real estate modeling, starting from basic concepts and moving through advanced financial techniques. By the end of the course, you'll gain not only a strong understanding of real estate fundamentals but also the ability to construct sophisticated financial models for various types of real estate projects.Section 1: IntroductionThis section introduces you to real estate modeling, laying the groundwork for understanding how real estate investments are structured and analyzed. You'll become familiar with the key objectives and skills required to succeed in this field, preparing you for the hands-on techniques and models covered throughout the course.Section 2: Concepts of Real EstateIn this section, we delve into core real estate concepts, including the divisions in real estate, market dynamics, and various property types. From residential and commercial real estate to the risks associated with lenders and borrowers, you'll gain a solid understanding of the factors that influence property demand, valuation, and investment risk. Additionally, this section covers the construction stages, property types, and risk assessments vital for informed decision-making in real estate.Section 3: ValuationReal estate valuation is fundamental to investment decisions. This section covers essential valuation techniques and introduces various sources of funding, helping you understand how properties are appraised and financed. By the end of this section, you'll be able to assess a property's market value using professional methodologies.Section 4: Lease Rental DiscountingThis section teaches lease rental discounting, a crucial aspect of income-generating properties. You'll learn about terminal value, calculate lease rentals, and analyze profit and loss accounts to determine a property's financial viability. Techniques like DSCR (Debt Service Coverage Ratio) are also covered, ensuring that you can measure the property's ability to cover debt obligations.Section 5: Percentage of Completion MethodIn this section, you'll explore the Percentage of Completion Method, a key approach for evaluating projects under construction. Topics covered include cost allocation, promoters' contributions, interest during construction, and EBITDA calculations. You'll gain skills in assessing project progress, capital interest, and soft costs, which are all essential for determining project profitability.Section 6: Loan Against Property ModelUnderstanding loan structures is vital for real estate financing. This section covers loan-against-property models, including calculating property value, evaluating loan rates, and understanding term loans. You'll also learn how to assess project costs, making you adept at creating financing structures that support successful real estate developments.Section 7: Case StudyIn this case study section, you'll apply your knowledge to real-world examples. Through projects like the Lyric Apartment case study, you'll work with unit mixes, demographics, and comparable transactions, and calculate cash flows to equity investors. This hands-on experience is invaluable for translating theoretical knowledge into practical investment analysis.Section 8: Case Study on LRIC REPEThis section explores advanced real estate private equity (REPE) case studies, focusing on valuation methods like multiples and perpetuity growth. You'll learn about exit cap rates, real estate market descriptions, and opportunistic investment strategies, gaining insight into the assessment of high-yield investment opportunities.Section 9: Case Study on Real Estate ModelingIn the final section, we focus on a comprehensive real estate modeling case study. You'll compare properties, evaluate investment analysis models, and calculate interest coverage ratios. This final case study cements your learning, providing you with the skills and confidence to tackle real-world real estate projects independently.ConclusionUpon completing this course, you'll have a strong command of real estate modeling, valuation, and financial analysis. From assessing market opportunities to performing complex cash flow and IRR calculations, you'll be ready to excel in real estate finance. Equipped with practical skills and case study experience, you'll be well-prepared to make strategic real estate investment decisions, whether you're a professional in the industry or a newcomer looking to build expertise. Who this course is for Individuals looking to start a career in real estate investment, development, or management will find this course invaluable for building foundational skills. Real estate agents, brokers, and property managers seeking to enhance their analytical skills and understanding of real estate modeling techniques will benefit greatly. Professionals in finance or investment roles who wish to deepen their knowledge of real estate investments and valuation methodologies. College or university students pursuing degrees in real estate, finance, or business who want to gain practical skills in real estate modeling and analysis. Individual investors looking to improve their decision-making capabilities in property investments by understanding valuation, risk assessment, and cash flow analysis. Entrepreneurs planning to develop or invest in real estate projects, seeking a comprehensive understanding of the financial and operational aspects of real estate. 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Free Download Python Mastery Devops, Automation, And Real-World Use Cases Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.23 GB | Duration: 9h 0m From Coding Fundamentals to Cloud Automation, GitHub Integration, CI/CD Automation with Jenkins and Game Development What you'll learn Python coding practice About Data Types in Python Regular Expression (regex) in Python How to identify and apply keywords in code How to declare and assign values to variables. The purpose and function of the return statement in functions. Python Functions: Definition and Usage Utilizing Modules in Function Design Organizing Your Code Using Python Packages The use of the sys module to access command line arguments The different types of operators in Python, including arithmetic, comparison, logical, and assignment operators. DevOps Use Cases with if..else..elif For/While Loops in Python: Syntax and Usage Real-time Use Case: Lists and Exception Handling in Python Python Script for Handling Exceptions Using Try Statements Integrating Python with GitHub Through the GitHub API Cloning a GitHub Repository with Python Performing operations on various AWS services like S3, EC2 using Boto3 Python Module Launching an EC2 Instance using Boto3 Python Module CI/CD Automation with Jenkins and Python Integrate GitHub Webhooks With Jenkins Develop Games in Python with PyCharm and ChatGPT Requirements Basic Computer Skills: Familiarity with using a computer and navigating the internet. No Prior Programming Experience Required: This course is designed for beginners, so no previous programming knowledge is necessary. Basic Knowledge of DevOps is required Description Python for DevOps means using Python to make DevOps tasks easier and more efficient. DevOps is all about automating tasks like building, testing, and deploying software quickly, as well as managing servers and infrastructure. Python is great for this because it's simple to learn, and it has many tools and libraries that help automate these tasks. For example, you can use Python to automatically create servers, manage cloud services, and set up continuous integration and delivery (CI/CD) pipelines. Python helps DevOps teams work faster and more effectively by reducing manual work and making processes smoother.Course Outline:Section1: Introduction-> Introduction-> An overview of Python-> About Shell Scripting-> Python vs. Shell Scripting-> When to Use Python vs. Shell ScriptingSection2: How to Begin Practicing Python Coding-> Begin Python Coding Practice-> Visual Studio Code - Python Coding Practice-> PyCharm - IDEs-> Codespaces - Online Coding PlatformSection3: Python Data Types-> About Data Types in Python-> Lab - String Data Type-> Lab - Integer Data Type-> Lab - Float Data Type-> Lab - len(), Length of a string-> Lab - String upper(), lower()-> Lab - String replace()-> Lab - String split()-> Lab - Print specific object in split()-> About List in Python-> Lab - List Data Type-> Lab - Add and Modify in a List Data Type (Mutable)-> About Tuples in Python-> Lab - Tuples in Python-> About Sets in Python-> Lab - Sets in Python-> Dictionary in Python-> Lab - Dictionary in Python-> Use Cases in DevOps-> Boolean Data Types-> Lab - Boolean in Python-> Coding Exercise 1:Create a Python script to add two integers-> Coding Exercise 2:Create a python script to perform operation of floating-point-> Coding Exercise 3:Write a python script to determine the length of a string-> Coding Exercise 4:Create a python script to convert a string to uppercase and lowercase-> Coding Exercise 5:Create a Simple python Script to replace a substring within a string-> Coding Exercise 6:Create a Simple python script to Split the text of a string-> Coding Exercise 7:Create a python script to define a Variable and assign it a list of five integersSection4: Regular Expression (regex) in Python-> Overview of Regular Expressions in Python-> Lab - Using re. match() to Match Patterns at the Start of a String-> Lab - Using re. search() to Find Matches Anywhere in a String-> Lab - Using re. findall() to Search for All Matches in a String-> Regex Use Cases from a DevOps Perspective-> Coding Exercise 8:Regular Expression in python-> Section5: Mastering Keywords in Python-> Overview of Keywords in Python-> Common Python keywords-> Mastering Control Flow Keywords - if, else, for, and break-> Lab: Mastering Control Flow Keywords - continue, def, return, class, import etc.Section6: Working with Variables in Python-> Overview of Variables with Example-> Lab: Working with Float Variables in Python-> Lab: Defining Lists as Variables in Python-> Lab: Working with Dictionary Variables in Python-> Python Variables: Local vs Global Scope-> Lab: Working with Local Variables in Python-> Lab: Working with Global Variables in PythonSection7: Return Statement in Python-> Return Statement: An Overview with Syntax-> Lab: Creating Functions That Return Values-> Lab: Functions That Return Multiple Values-> Lab: Function for Identifying Even and Odd ValuesSection8: Python Functions: Definition and Usage-> Introduction to Functions in Python-> Advantages of functions in Python-> Lab: Functions with Parameters-> Lab: Functions with Return Value-> Lab: Designing Functions for Basic Arithmetic Operations-> Comparing Scripts: Using Functions vs. Not Using FunctionsSection9: Utilizing Modules in Function Design-> Introduction to Python Modules-> An Overview of Built-in Modules-> An Overview of User-defined Modules-> Lab: Essential Built-in Modules in Python-> Lab: OS and Math Modules-> Lab: Building Your Own ModulesSection 10: Python Packages: Organizing Your Code-> Introduction to Python Packages-> Key Concepts of Packages-> Advantages of Using Packages-> Lab: Creating Package Structures and Modules-> Importing Modules for Easier Access using __init__. py-> Creating a Main Python File to Utilize Your Package-> Importing Functions from a PackageSection 11: Command Line Arguments in Python-> Command Line Arguments with Practical Examples-> Lab: Script to Add Two Numbers (No Command Line Arguments)-> Lab: Working with sys. argv for Command Line Arguments-> Lab: Passing Multiple Arguments to Python Scripts-> Lab: Pass Arguments to Add Two Numbers-> Lab: Conditional Arithmetic via Script Arguments-> Lab: Conditional Arithmetic Using Script ArgumentsSection 12: Operators in Python: Concepts and Examples-> The Basics of Arithmetic Operators in Python-> Lab: Exploring Comparison (Relational) Operators-> Lab: Comparison Operators (=, >, >=, ==)-> Logical Operators: and, or, not-> Lab: Using 'and' , 'or' for Logical Operations-> Lab: Using 'not' for Logical Operations-> Assignment Operators in Python-> Lab: Understanding Different Assignment Operators-> Membership Operators: 'in' and 'not in'-> Lab: Using 'not in' Membership Operators-> Operators in DevOps: Practical Use Cases-> Use Cases for Operators in the DevOps WorkflowSection 13: Conditional Statements in Python-> Understanding 'if' statement in Python-> Understanding 'else'..'elif' statement in Python-> Lab: Implementing if..else Statements-> Lab: DevOps Use Cases with if..else..elifSection 14: Understanding Loops in Python-> For Loops in Python: Syntax and Usage-> While Loops in Python: Syntax and Usage-> Lab: Implementing For Loops-> Lab: Printing Ranges and Strings with For Loops-> Lab: Implementing Infinite While Loops-> Lab: Exploring Break Statements in PythonSection 15: Real-time Use Case: Lists and Exception Handling in Python-> Introduction to the Real-Time Project-> Lab: User Input for List Creation-> Lab: Understanding split function text.split()-> Lab: Identify modules and their functions-> Lab: Utilize a for loop to list files-> Exception Handling with Try Statement-> Lab: Python Script for Handling Exceptions Using Try Statements-> Lab: Handling Error - FileNotFoundError-> Lab: Handling Known Error - PermissionErrorSection 16: Integrating Python with GitHub-> Integrating Python with GitHub Through the GitHub API-> Lab: Install PyGithub and Generate a GitHub Access Token-> Lab: Retrieve User Login and Public Repos with Python-> Lab: Retrieve GitHub Account Repository List-> Lab: Create a New Repository with PythonSection 17: Cloning a GitHub Repository with Python-> Clone a Repository Using the Subprocess Module-> Lab: Clone a Repository with the Subprocess Module-> Lab: Using GitPython Library-> Lab: Handle Git Errors with Exception HandlingSection 18: Boto3 Python Module-> Introduction to the Boto3 Python Module-> Lab: Install Boto3 and Create an AWS User Account-> Lab: Configure GitHub Access from Codespaces via AWS CLI-> Lab: List All Buckets with Boto3-1-> Lab: List All Buckets with Boto3-2-> Lab: List All Buckets with Boto3-3-> Lab: Upload a File to a Bucket Using Boto3-> Lab: Download a File to a Bucket Using Boto3Section 19: Launching an EC2 Instance using Boto3 Python Module-> Project Overview-> Setting Up a User Account in AWS with IAM-> Set Up AWS CLI in Codespaces-> Begin Python Script: Import Boto3-> Include EC2 Attributes in Python Script-> Add Tag Specifications in Python Script-> Debug the Python Script Before Execution-> Access the EC2 Instance Launched via Python Script-> Update the Python Script to Add 20GB EBS Volume-> Run Python Script to Confirm EBS Volume-> Update Python Script to Include UserData-> Update Python Script to Include Apache Package-> Run the Revised Python Script and Validate-> Access the Apache ServerSection 20: CI/CD Automation with Jenkins and Python-> Project Overview-> Set Up a GitHub Repository for Your Project-> Write the Source Code in Python and Push to GitHub Repository-> Provision a Jenkins Server Instance in AWS-> Connect to the Jenkins Server and Install Java-> Install the Jenkins Package on the Server-> Set Up Jenkins Configuration-> Install Necessary Plugins on the Jenkins Server-> Add GitHub Credentials to the Jenkins Server-> First Stage of the Pipeline: Checkout the Project-> Build the Job-> Add a Stage for Installing Python Dependencies-> Add a Stage to Execute the Python Script-> Setting Up a User Account in AWS with IAM-> Create Access Keys for Jenkins Credentials-> Set Up Access Keys in Jenkins Pipeline-> Export AWS Credentials in Jenkins Pipeline-> Build the Job and Verify EC2 Instance Creation in AWS-> Access the Web Server Using URLSection 21: Integrate GitHub Webhooks With Jenkins-> Setup GitHub Webhooks in Jenkins-> GitHub hook trigger for GITScm polling-> Add Jenkins Webhook to GitHub Repository-> Test the Webhook by Editing the Python ScriptSection 22: Develop Games in Python with PyCharm and ChatGPT Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 An overview of Python Lecture 3 About Shell Scripting Lecture 4 Python vs. Shell Scripting Lecture 5 When to Use Python vs. Shell Scripting Section 2: How to Begin Practicing Python Coding Lecture 6 Begin Python Coding Practice Lecture 7 Visual Studio Code - Python Coding Practice Lecture 8 PyCharm - IDEs Lecture 9 Codespaces - Online Coding Platform Section 3: Python Data Types Lecture 10 About Data Types in Python Lecture 11 Lab - String Data Type Lecture 12 Lab - Integer Data Type Lecture 13 Lab - Float Data Type Lecture 14 Lab - len(), Length of a string Lecture 15 Lab - String upper(), lower() Lecture 16 Lab - String replace() Lecture 17 Lab - String split() Lecture 18 Lab - Print specific object in split() Lecture 19 About List in Python Lecture 20 Lab - List Data Type Lecture 21 Lab - Add and Modify in a List Data Type (Mutable) Lecture 22 About Tuples in Python Lecture 23 Lab - Tuples in Python Lecture 24 About Sets in Python Lecture 25 Lab - Sets in Python Lecture 26 Dictionary in Python Lecture 27 Lab - Dictionary in Python Lecture 28 Use Cases in DevOps Lecture 29 Boolean Data Types Lecture 30 Lab - Boolean in Python Section 4: Regular Expression (regex) in Python Lecture 31 Overview of Regular Expressions in Python Lecture 32 Lab - Using re.match() to Match Patterns at the Start of a String Lecture 33 Lab - Using re.search() to Find Matches Anywhere in a String Lecture 34 Lab - Using re.findall() to Search for All Matches in a String Lecture 35 Regex Use Cases from a DevOps Perspective Section 5: Mastering Keywords in Python Lecture 36 Overview of Keywords in Python Lecture 37 Common Python keywords Lecture 38 Mastering Control Flow Keywords - if, else, for, and break Lecture 39 Lab: Mastering Control Flow Keywords - continue, def, return, class, import etc. Section 6: Working with Variables in Python Lecture 40 Overview of Variables with Example Lecture 41 Lab: Working with Float Variables in Python Lecture 42 Lab: Defining Lists as Variables in Python Lecture 43 Lab: Working with Dictionary Variables in Python Lecture 44 Python Variables: Local vs Global Scope Lecture 45 Lab: Working with Local Variables in Python Lecture 46 Lab: Working with Global Variables in Python Section 7: Return Statement in Python Lecture 47 Return Statement: An Overview with Syntax Lecture 48 Lab: Creating Functions That Return Values Lecture 49 Lab: Functions That Return Multiple Values Lecture 50 Lab: Function for Identifying Even and Odd Values Section 8: Python Functions: Definition and Usage Lecture 51 Introduction to Functions in Python Lecture 52 Advantages of functions in Python Lecture 53 Lab: Functions with Parameters Lecture 54 Lab: Functions with Return Value Lecture 55 Lab: Designing Functions for Basic Arithmetic Operations Lecture 56 Comparing Scripts: Using Functions vs. Not Using Functions Section 9: Utilizing Modules in Function Design Lecture 57 Introduction to Python Modules Lecture 58 An Overview of Built-in Modules Lecture 59 An Overview of User-defined Modules Lecture 60 Lab: Essential Built-in Modules in Python Lecture 61 Lab: OS and Math Modules Lecture 62 Lab: Building Your Own Modules Section 10: Python Packages: Organizing Your Code Lecture 63 Introduction to Python Packages Lecture 64 Key Concepts of Packages Lecture 65 Advantages of Using Packages Lecture 66 Lab: Creating Package Structures and Modules Lecture 67 Importing Modules for Easier Access using __init__.py Lecture 68 Creating a Main Python File to Utilize Your Package Lecture 69 Importing Functions from a Package Section 11: Command Line Arguments in Python Lecture 70 Command Line Arguments with Practical Examples Lecture 71 Lab: Script to Add Two Numbers (No Command Line Arguments) Lecture 72 Lab: Working with sys.argv for Command Line Arguments Lecture 73 Lab: Passing Multiple Arguments to Python Scripts Lecture 74 Lab: Pass Arguments to Add Two Numbers Lecture 75 Lab: Conditional Arithmetic via Script Arguments Lecture 76 Lab: Conditional Arithmetic Using Script Arguments Section 12: Operators in Python: Concepts and Examples Lecture 77 The Basics of Arithmetic Operators in Python Lecture 78 Lab: Exploring Comparison (Relational) Operators Lecture 79 Lab: Comparison Operators (=, >, >=, ==) Lecture 80 Logical Operators: and, or, not Lecture 81 Lab: Using 'and' , 'or' for Logical Operations Lecture 82 Lab: Using 'not' for Logical Operations Lecture 83 Assignment Operators in Python Lecture 84 Lab: Understanding Different Assignment Operators Lecture 85 Membership Operators: 'in' and 'not in' Lecture 86 Lab: Using 'not in' Membership Operators Lecture 87 Operators in DevOps: Practical Use Cases Lecture 88 Use Cases for Operators in the DevOps Workflow Section 13: Conditional Statements in Python Lecture 89 Understanding 'if' statement in Python Lecture 90 Understanding 'else'..'elif' statement in Python Lecture 91 Lab: Implementing if..else Statements Lecture 92 Lab: DevOps Use Cases with if..else..elif Section 14: Understanding Loops in Python Lecture 93 For Loops in Python: Syntax and Usage Lecture 94 While Loops in Python: Syntax and Usage Lecture 95 Lab: Implementing For Loops Lecture 96 Lab: Printing Ranges and Strings with For Loops Lecture 97 Lab: Implementing Infinite While Loops Lecture 98 Lab: Exploring Break Statements in Python Section 15: Real-time Use Case: Lists and Exception Handling in Python Lecture 99 Introduction to the Real-Time Project Lecture 100 Lab: User Input for List Creation Lecture 101 Lab: Understanding split function text.split() Lecture 102 Lab: Identify modules and their functions Lecture 103 Lab: Utilize a for loop to list files Lecture 104 Exception Handling with Try Statement Lecture 105 Lab: Python Script for Handling Exceptions Using Try Statements Lecture 106 Lab: Handling Error - FileNotFoundError Lecture 107 Lab: Handling Known Error - PermissionError Section 16: Integrating Python with GitHub Lecture 108 Integrating Python with GitHub Through the GitHub API Lecture 109 Lab: Install PyGithub and Generate a GitHub Access Token Lecture 110 Lab: Retrieve User Login and Public Repos with Python Lecture 111 Lab: Retrieve GitHub Account Repository List Lecture 112 Lab: Create a New Repository with Python Section 17: Cloning a GitHub Repository with Python Lecture 113 Clone a Repository Using the Subprocess Module Lecture 114 Lab: Clone a Repository with the Subprocess Module Lecture 115 Lab: Using GitPython Library Lecture 116 Lab: Handle Git Errors with Exception Handling Section 18: Boto3 Python Module Lecture 117 Introduction to the Boto3 Python Module Lecture 118 Lab: Install Boto3 and Create an AWS User Account Lecture 119 Lab: Configure GitHub Access from Codespaces via AWS CLI Lecture 120 Lab: List All Buckets with Boto3-1 Lecture 121 Lab: List All Buckets with Boto3-2 Lecture 122 Lab: List All Buckets with Boto3-3 Lecture 123 Lab: Upload a File to a Bucket Using Boto3 Lecture 124 Lab: Download a File to a Bucket Using Boto3 Section 19: Launch EC2 Instance with Boto3 Python Module Lecture 125 Project Overview Lecture 126 Setting Up a User Account in AWS with IAM Lecture 127 Set Up AWS CLI in Codespaces Lecture 128 Begin Python Script: Import Boto3 Lecture 129 Include EC2 Attributes in Python Script Lecture 130 Add Tag Specifications in Python Script Lecture 131 Debug the Python Script Before Execution Lecture 132 Access the EC2 Instance Launched via Python Script Lecture 133 Update the Python Script to Add 20GB EBS Volume Lecture 134 Run Python Script to Confirm EBS Volume Lecture 135 Update Python Script to Include UserData Lecture 136 Update Python Script to Include Apache Package Lecture 137 Run the Revised Python Script and Validate Lecture 138 Access the Apache Server Section 20: CI/CD Automation with Jenkins and Python Lecture 139 Project Overview Lecture 140 Set Up a GitHub Repository for Your Project Lecture 141 Write the Source Code in Python and Push to GitHub Repository Lecture 142 Provision a Jenkins Server Instance in AWS Lecture 143 Connect to the Jenkins Server and Install Java Lecture 144 Install the Jenkins Package on the Server Lecture 145 Set Up Jenkins Configuration Lecture 146 Install Necessary Plugins on the Jenkins Server Lecture 147 Add GitHub Credentials to the Jenkins Server Lecture 148 First Stage of the Pipeline: Checkout the Project Lecture 149 Build the Job Lecture 150 Add a Stage for Installing Python Dependencies Lecture 151 Add a Stage to Execute the Python Script Lecture 152 Setting Up a User Account in AWS with IAM Lecture 153 Create Access Keys for Jenkins Credentials Lecture 154 Set Up Access Keys in Jenkins Pipeline Lecture 155 Export AWS Credentials in Jenkins Pipeline Lecture 156 Build the Job and Verify EC2 Instance Creation in AWS Lecture 157 Access the Web Server Using URL Section 21: Integrate GitHub Webhooks with Jenkins Lecture 158 Setup GitHub Webhooks in Jenkins Lecture 159 GitHub hook trigger for GITScm polling Lecture 160 Add Jenkins Webhook to GitHub Repository Lecture 161 Test the Webhook by Editing the Python Script Lecture 162 Last Lecture Individuals with little or no prior programming experience who want to learn Python from scratch.,DevOps Professionals: Anyone interested in automation, cloud computing, and using Python for DevOps practices.,Students and Professionals: Anyone seeking to enhance their resume or career prospects by adding Python programming to their skill set.,Overall, this course is suitable for anyone eager to learn Python and apply it in real-world scenarios. 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Free Download Meta Advertising for Real Estate & Copywriting with ChatGPT Last updated 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 13.35 GB | Duration: 14h 21m Master Meta Ads Copywriting and Meta Ads for Real Estate. Use ChatGPT, Meta AI Targeting and Meta AI Smart Functions. What you'll learn Master Meta Ads copywriting techniques that convert prospects into customers. Navigate the latest Meta Ads platform updates, including Meta AI and iOS 14.5+ changes, with ease. Harness the power of Real Estate Meta Advertising to generate high-quality leads. Explore the synergy between SEO and persuasive copywriting for maximum online visibility. Utilize ChatGPT effectively for innovative Meta Advertising and social media planning. Craft compelling ad copies with proven templates for Facebook and Instagram Ads success. Understand the psychology behind effective online persuasion and customer engagement. 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Description Alchemy of Meta Ads: The Ultimate 2024 Guide to Facebook Ads & Instagram Ads Copywriting & Real Estate MasteryStep into a transformative journey that transcends the ordinary boundaries of digital marketing courses. This is not just another course; it's an experience, a rite of passage for those who dare to seek mastery in Facebook Ads and Real Estate Marketing.What Awaits You in This Mystical Quest:The Wordsmith's Cauldron: Imagine a world where learning Facebook Ad Copy Creation is as engaging as a bestselling novel. Our animated explainers and interactive quizzes are designed to make you not just a learner, but a master wordsmith.The Map to Hidden Treasures: No more wandering in the labyrinth of Facebook Ads. Our practical screen recordings are your treasure maps, complete with blueprints and to-do lists that guide you step-by-step, ensuring you never lose your way.The Freelancer's Grimoire: Unlock the ultimate guide that teaches you how to monetize your newfound skills. 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Overview Section 1: Meta Lead Generation Ads for Real Estate (Lead Forms) Lecture 1 Testimonial from RE/MAX Alpha (Prague) Lecture 2 Please, Read & Download the Complete Curriculum Lecture 3 Resources for You & Udemy Student's Experience & Facebook Group Lecture 4 Facebook Lead Generation Ads - Explanations Lecture 5 Lead Generation Ads 1 - Setup Lead Generation Objective for Instant Forms Lecture 6 Lead Generation Ads 2 - Targeting & Creating Custom + Lookalike Audiences Lecture 7 Lead Generation Ads 3 - Creating the Ad and Lead Form and Variantions Lecture 8 Audiences - In-Depth Explanations Lecture 9 More About Targeting Lecture 10 Campaign Budget Optimisation - Advantage Campaign Budget+ Lecture 11 More In-Depth Explanations of Meta Advantage Campaign Budget+ Lecture 12 Creating more Ad Sets to Use the Power of Advantage Campaign Budget Lecture 13 Leads Center - How to Efficiently Organize, Download & Work with Leads Lecture 14 How to Evaluate, Optimise & Refresh Lead Generation Campaigns Section 2: Meta Ads Formats, Modern Ads Formats, Reels, Meta Advertising Explanations Lecture 15 Meta Ads Formats Guide Lecture 16 Meta Ads Modern Formats - Reels Lecture 17 How Ads appear Across Meta Technologies Lecture 18 Campaign Buying Types Section 3: Facebook Ads & Instagram Ads Copywriting, Using ChatGPT & Gemini AI Lecture 19 Introduction into Facebook Ads & Instagram Ads Copywriting Lecture 20 Copywriting for Social Media Lecture 21 Essentials for Facebook Ads Advertising Lecture 22 Sample Post for Facebook Lecture 23 Meta Ads Copywriting - Quiz Introduction Lecture 24 Write your Own Content - Assignment Introduction Lecture 25 Using ChatGPT & Gemini for Social Media Marketing - Animated Video Explainer Lecture 26 Using ChatGPT for Facebook Marketing & Meta Advertising Lecture 27 Using ChatGPT for Instagram Marketing & Meta Advertising Lecture 28 Complete Introduction into ChatGPT & Gemini + 90 Reels Creation Lecture 29 How to Get 10x More Ideas for Facebook Post in One Minute with ChatGPT Lecture 30 How to Get Even 3x More Ideas for Facebook Post in One Minute with Gemini AI Lecture 31 How to Create Fantastic Carousel Content for Facebook & Instagram in Few Minutes Section 4: Broad Targeting Explanations, Special Ad Category & Meta AI Targeting Advantage+ Lecture 32 Get Ready to Become Super MASTER of Facebook Ads Lecture 33 Broad Targeting Explanations Lecture 34 Meta AI Targeting - The Most Powerful Targeting - Advantage+ Audiences Lecture 35 Broad Targeting & Special Ad Category 1 - Real Estate Lecture 36 Broad Targeting & Special Ad Category 2 - Real Estate Section 5: Meta Traffic Ads Lecture 37 Create with me your Facebook Traffic Ads (Introduction) Lecture 38 Create with me your Facebook Traffic Ads - Screen Recording - Complete Guide Lecture 39 Meta Traffic Ads - Quiz Introduction Lecture 40 Meta Advantage+ Creative Lecture 41 Dynamic Experience Lecture 42 Automated Rules Lecture 43 Using A/B Testing Section 6: Meta Ads Objectives & The Power of Engagement Lecture 44 Meta Ads Objectives - Introduction Lecture 45 MASTER Facebook Ads Objectives to Profit More from all of your Campaigns Lecture 46 Please, Study the Objectives from Media Buying Guide Lecture 47 Meta Ads Objectives - Quiz Introduction Lecture 48 The Power of Engagement Lecture 49 The Power of Engagement - Screen Recording Section 7: Meta for Business (Business Manager, Business Suite, Facebook Ads Library) Lecture 50 Meta Business Suite Lecture 51 Meta Business Manager - Introduction Lecture 52 Meta Business Suite & Meta Business Manager - How to Navigate Easily Lecture 53 Meta Business Manager Lecture 54 Introduction into Facebook Ads Library Lecture 55 Facebook Ads Library Section 8: Meta Pixel & Conversion API + Pixel Events & Custom Conversions Lecture 56 Benefit from Correct Facebook Pixel Set Up - Introduction Lecture 57 The Most Pleasant Way to Active Full Conversion API Server-Server on WordPress Lecture 58 Meta Events - Testing Lecture 59 Advanced Settings & Event Tool for Google Chrome Lecture 60 Meta Events Lecture 61 SDK & Off-line Conversions Explanations Section 9: Meta Conversion Ads for Lead Generation, Brand Lift, & Experiments Lecture 62 Facebook Conversion Ads - Explanations Lecture 63 Experiments & CBO Test & Brand Lift Lecture 64 Campaigns Budgets & Schedules Section 10: Reporting & Creative Hub & Insights Lecture 65 Cross Reporting & Reporting - Explanations Lecture 66 Automated Reporting, Sharing with Clients & Creative Reporting Lecture 67 Creative Hub & Insights Lecture 68 Optimisation for Ad Delivery Lecture 69 Advertisers Controls Section 11: Meta Ads Agency, Succesful Mindset, Careers & Freelancing Lecture 70 Make Your Life Better Lecture 71 Succesful Mindset 1 - Power of Active Approach Lecture 72 Succesful Mindset 2 - Power of "How Can I Manage This?" Lecture 73 Succesful Mindset 3 - Power of Dilligence + Step by Step Action Lecture 74 Profit from Running your own Facebook Ads Agency Lecture 75 How to Setup Accounts with your Clients Lecture 76 Careers and Freelancing - Your first Digital Marketing Job Lecture 77 Maximise your Media Career Lecture 78 Cutting through as a Copywriter Lecture 79 Secure your first SEO Job Lecture 80 Finding Work as a Facebook Ads Consultant Lecture 81 Landing your first Instagram Ads Client Lecture 82 Stand out on Freelance and Job Search Sites Lecture 83 Polish up your Resume and LinkedIn Profile Lecture 84 Thanks for Watching Section 12: Summary, Negotiating Higher Salary, LinkedIn Profile, & Congratulations Lecture 85 Summary - Facebook Marketing & Facebook Ads Lecture 86 Best Strategies for Negotiating Higher Salary with ChatGPT Lecture 87 Writing Personal Inspiring Story with ChatGPT Lecture 88 Optimizing Personal Inspiring Story for LinkedIn with ChatGPT Writing Coach Lecture 89 Rewriting Experience Section on LinkedIn into Fascinating Story Lecture 90 Rewriting & Recreating all LinkedIn Profile as a Complete Story Lecture 91 Congratulations This course is meticulously designed for a diverse range of individuals who are keen to master the art and science of Facebook Ads, particularly in the Real Estate sector. If you fall into any of the following categories, this course is tailor-made for you:,Facebook Ads Consultants: If you're already navigating the waters of Facebook advertising but want to specialize in the Real Estate niche, this course will give you the tools, strategies, and confidence to elevate your consultancy to new heights.,Real Estate Brokers: Are you a Real Estate broker looking to exponentially increase your property sales and client engagement? This course will teach you how to leverage Facebook Ads to reach your target audience effectively and convert leads into sales.,Aspiring Facebook Ads Consultants: If you're new to the world of Facebook Ads but are considering it as a career path, this course will provide you with a solid foundation and specialized knowledge in Real Estate advertising, setting you apart from generalists in the field.,Digital Marketers: If you're a digital marketer looking to expand your skill set to include specialized Facebook Ads strategies for Real Estate, this course will equip you with the knowledge and tools you need.,Small Business Owners in Real Estate: If you own a small Real Estate business and want to take charge of your own advertising, this course will guide you through creating effective campaigns that yield high ROI.,Career Changers: Are you considering a career change and are intrigued by the opportunities in digital marketing and Real Estate? 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Free Download Mastering Canva Through Real Projects From Beginner to Pro Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 55m | Size: 1.11 GB Turn Creativity into Cash! What you'll learn Introduction and Getting Started of Canva Logo Design for Businesses Thumbnails Design Course Banner Design Book Cover Design and Mockups News Card design T-shirt design Business Card Design CV/Resume Design Creating Professional Presentations Using Canva for Video Editing Requirements No prior experience needed. You can start this course with Basic Computer Skills. Description Unlock your creative potential with "Mastering Canva Through Real Projects"-a beginner-friendly course designed for anyone who wants to learn graphic design and earn money with their skills. No prior experience is needed! Through hands-on projects, you'll learn how to Logo Design for BusinessesThumbnails DesignCourse Banner DesignBook Cover Design and MockupsNews Card designT-shirt designBusiness Card DesignCV/Resume DesignCreating Professional PresentationsCanva for Video Editingusing Canva's simple yet powerful tools. Whether you're looking to offer freelance design services, create digital products to sell, or start a side hustle, this course will guide you from start to finish. By the end of this course, you'll have a strong foundation in graphic design and the confidence to offer your services on platforms like Fiverr and Upwork, sell digital products on Etsy or Creative Market, or create branded assets for your own business. Whether you're an aspiring freelancer, small business owner, or someone simply looking to boost their creativity, this course will provide you with all the tools and practical projects needed to succeed.Enroll now and take your first step towards mastering Canva and turning your creativity into a profitable career!See You in the class. Who this course is for This course is for those who want to learn graphic design and start earning money with their skills. Homepage https://www.udemy.com/course/mastering-canva-through-real-projects-from-beginner-to-pro/ Screenshot Rapidgator https://rg.to/file/635ed626e4eba4ec4ad3f36d5060d907/mcote.Mastering.Canva.Through.Real.Projects.From.Beginner.to.Pro.part1.rar.html https://rg.to/file/a714f9e0bdc7472842fccb5c4e2b40ae/mcote.Mastering.Canva.Through.Real.Projects.From.Beginner.to.Pro.part2.rar.html Fikper Free Download https://fikper.com/fTkngs9NRq/mcote.Mastering.Canva.Through.Real.Projects.From.Beginner.to.Pro.part1.rar.html https://fikper.com/oiLoZA83rt/mcote.Mastering.Canva.Through.Real.Projects.From.Beginner.to.Pro.part2.rar.html No Password - Links are Interchangeable

Free Download Learn How To Dj On Real Vinyl From The Wu-Tang Clan Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 6.80 GB | Duration: 2h 42m DJ Symphony Of Wu-Tang Clan Vinyl DJ Course What you'll learn Master fundamental vinyl mixing techniques, including beatmatching and blending. Develop skills in crate digging and selecting the right tracks for sets. Gain proficiency in turntable setup and maintenance for optimal performance. Explore creative scratching and effects to enhance live performances. Requirements Turntables, Vinyl, Mixer, Needles & Headphones Description Join DJ Symphony, The Official DJ For GZA Of The Wu-Tang ClanCuts DJ Academy, Cuts Virtual Courses Real Vinyl DJ Course! This immersive program offers a unique opportunity to learn the art of vinyl DJing from a true industry legend.Parti[beeep]nts will master essential skills, including beatmatching, mixing techniques, and track selection, while discovering the nuances of vinyl turntablism. You'll explore crate digging strategies, understand the importance of sound quality, and learn to maintain your equipment for peak performance.Additionally, the course covers creative scratching, effects usage, and developing your unique style, empowering you to craft engaging live sets. Whether you're a beginner or looking to refine your skills, this course will elevate your DJing to new heights. Embrace the authentic experience of vinyl and unlock your potential with DJ Symphony!SERATO CERTIFIED DJ SCHOOLWelcome to Cuts DJ Academy, a Serato Certified DJ School dedicated to nurturing the next generation of DJs! Our program combines hands-on training with cutting-edge technology, offering aspiring artists the chance to learn from industry professionals. As a Serato Certified School, we focus on mastering Serato's powerful software, equipping students with essential skills for seamless mixing and performance.With courses designed for all levels, from beginners to advanced DJs, we foster creativity and confidence in a supportive environment. Join us to unlock your potential, connect with fellow DJs, and elevate your craft to new heights!DJ SYMPHONY / WU-TANG CLAN LIVE ZOOM MASTER CLASSWant to become the next celebrity tour DJ? Want to DJ for class A celebrities?Visit cutsdjacademy com & register for the next live zoom class today.Seats are limited so act now.LEARN FROM CELEBRITIESWith our award winning Dj video course, you will learn how to dj from the best in the music industry. Wu-Tang Clan's Dj Symphony & other celebrities deliver high energy HD quality videos so you won't miss a beat.WHO WE AREAt Cuts DJ Academy, we are passionate about empowering aspiring DJs through expert-led instruction and a supportive community. Our comprehensive curriculum caters to all skill levels, from beginners to advanced artists. With our Cuts Virtual Courses, learners can access high-quality training from anywhere, making it easier than ever to hone their craft.We believe in hands-on learning and creativity, equipping students with the skills needed to thrive in the music industry. Join us and discover your unique sound with the guidance of experienced professionals! 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However, in order to understand programming, it's essential to understand how computer works. That's why first part covers computer basics like memory, HDD and CPU. It also covers basics of how computer works and how it communicates with us humans through character encodings.Second part covers basics of Java language like primitive data types and flow control and loops. You will be able to write simple programs and output the result to a console.Third part covers Object Oriented Programming. This is a concept that takes real life objects and implements them as part of computer code. You will be able to understand how computer handle real life problems through objects.Fourth part covers programming concepts, and it follows development of small programs.Fifth part covers introduction to GUI development. You will learn what are the parts of the GUIÂ and how to create simple GUI applications.Sixth part is a practical development, and it covers complete development of popular snake game. It covers development of the game from the beginning to the end.Seventh part is more advanced GUIÂ development where you will develop small applications like Calculator and your own personal Notepad. It covers advanced GUIÂ development and after that you will be able to write your own GUIÂ applications.Eith part covers databases and SQL language. You will be able to create your own database and create your own tables. You will learn about relational databases and be able to connect to it from your code. Databases are essential to any meaningful programming. You will create simple programs to insert data into database, to modify and delete.Nineth part covers Spring boot and API. APIÂ is used for computer-to-computer communication and in this part, you will learn how computers communicate between each other. You will be able to use free public APIÂ and write your own programs to communicate with other computers on internet. Who this course is for For everyone that wants to learn programming but don't have any knowledge or experience at all. 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Free Download Azure Data Engineering Real-Time Projects-DP 203 Exam Prep Published 10/2024 Created by Step2C Education MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 32 Lectures ( 3h 22m ) | Size: 3.47 GB Step-by-step guide to building and managing cloud data pipelines-Create, clean, and transform data pipelines using Azure What you'll learn Connecting and extracting data from APIs using ADF Cleaning and transforming data using PySpark in Databricks Automating data workflows with Azure Data Factory Loading data into Azure Synapse for analysis Power BI reporting and dashboard creation Requirements Internet connection PC/Laptop/Mobile Phone Azure account (if students want to practice the demo) A willingness to learn new tools and frameworks Basic understanding of cloud computing and data processing Some exposure to SQL and Python Familiarity with Azure (helpful, but not mandatory) Description Course Description:In today's data-driven world, businesses rely heavily on robust and scalable data pipelines to handle the growing volume and complexity of their data. The ability to design and implement these pipelines is an invaluable skill for data professionals. "Azure Data Engineering Projects-Real Time Azure Data Project" is designed to provide you with hands-on experience in building end-to-end data pipelines using the powerful Azure ecosystem. This course will take you through the process of extracting, cleaning, transforming, and visualizing data, using tools like Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Databricks, and Azure Synapse Analytics, with the final output delivered through Power BI dashboards.This course is perfect for anyone looking to enhance their skills in cloud-based data engineering, whether you're new to the field or seeking to solidify your expertise in Azure technologies. By the end of this course, you will not only understand the theory behind data pipelines but will also have practical knowledge of designing, developing, and deploying a fully functional data pipeline for real-world data.We will start by understanding the architecture and components of an end-to-end data pipeline. You'll learn how to connect to APIs as data sources, load raw data into Azure Data Lake Storage (ADLS), and use Azure Data Factory to orchestrate data workflows. With hands-on exercises, you'll perform initial data cleaning in Azure Databricks using PySpark, and then proceed to apply more complex transformations that will convert raw data into valuable insights. From there, you'll store your processed data in Azure Synapse Analytics, ready for analysis and visualization in Power BI.We will guide you through every step, ensuring you understand the purpose of each tool, and how they work together in the Azure environment to manage the full lifecycle of data. Whether you're working with structured, semi-structured, or unstructured data, this course covers the tools and techniques necessary to manage any type of data efficiently.Course Structure Overview:The course is divided into six comprehensive sections, each focusing on a crucial stage of building data pipelines:Introduction to Data Pipelines and Azure ToolsWe'll start with an introduction to data pipelines, focusing on their importance and use in modern data architecture. You will learn about the tools we will use throughout the course: Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse, and Power BI. We'll also cover how these tools work together to build an efficient, scalable, and reliable data pipeline in Azure. By the end of this section, you'll have a clear understanding of how Azure facilitates large-scale data processing.Data Ingestion using Azure Data Factory (ADF)In this section, we will focus on extracting data from external sources, particularly APIs. You'll learn how to create a pipeline in Azure Data Factory to automate the extraction and loading of data into Azure Data Lake Storage (ADLS). We will walk through the process of configuring datasets, linked services, and activities in ADF to pull in data in various formats (JSON, CSV, XML, etc.). This is the crucial first step of our pipeline and serves as the foundation for all subsequent steps.Data Storage and Management in Azure Data Lake Storage (ADLS)Once we have ingested the data, the next step is storing it efficiently in Azure Data Lake Storage (ADLS). This section will teach you how to structure and organize data in ADLS, enabling fast and easy access for further processing. We will explore best practices for partitioning data, handling different file formats, and managing access controls to ensure your data is stored securely and ready for processing.Data Cleaning and Processing with Azure Databricks (PySpark)Raw data often needs to be cleaned before it can be used for analysis. In this section, we'll take a deep dive into Azure Databricks, using PySpark for initial data cleaning and transformation. You will learn how to remove duplicates, handle missing values, standardize data, and perform data validation. By working with Databricks, you will gain valuable hands-on experience with distributed computing, enabling you to scale your data transformations for large datasets.This section also introduces you to PySpark's powerful capabilities for data processing, where you'll create transformations such as filtering, aggregating, and joining multiple datasets. We'll also cover the Bronze, Silver, and Gold layers of data transformation, where you'll take raw data (Bronze) through intermediate processing (Silver) and arrive at a clean, analytics-ready dataset (Gold).Data Transformation and Loading into Azure Synapse AnalyticsAfter the data has been cleaned and transformed in Databricks, the next step is to load it into Azure Synapse Analytics for further analysis and querying. You will learn how to connect Databricks with Azure Synapse and automate the process of moving data from ADLS into Synapse. This section will also cover optimization techniques for storing data in Synapse to ensure that your queries run efficiently. We will walk you through the process of partitioning, indexing, and tuning your Synapse tables to handle large-scale datasets effectively.Course Features:This course is designed to be hands-on, with practical exercises and real-world examples. You will:Work with a real dataset, extracted from an API, cleaned, transformed, and stored in the cloud.Perform data cleaning operations using PySpark and Azure Databricks.Learn how to use ADF for automated data pipeline creation.Practice transforming data into business-ready formats.Gain experience in optimizing data storage and querying in Azure Synapse.Develop interactive reports and dashboards in Power BI.Benefits of Taking this Course:By taking this course, you will gain practical, in-demand skills in cloud-based data engineering. You'll walk away with the knowledge and experience needed to design and implement scalable data pipelines in Azure. Whether you're a data engineer, data analyst, or a developer looking to build modern data workflows, this course provides you with the technical and strategic skills to succeed in this role.In addition to technical expertise, you will also gain insight into real-world use cases for these tools. Azure Data Factory, Databricks, and Synapse are widely used across industries to manage data workflows, from startups to enterprise-level organizations. After completing this course, you will be equipped to tackle data challenges using Azure's robust, cloud-native solutions.This course prepares you for a career in data engineering by giving you practical experience in designing and implementing data pipelines. You'll be able to use your new skills to build efficient, scalable systems that can handle large amounts of data, from ingestion to visualization.After completing this course, you will receive a course completion certificate, which you can download and showcase on your resume. If you encounter any technical issues throughout the course, Udemy's support team is available to assist you. If you have any suggestions, doubts, or new course requirements, feel free to message me directly or use the Q&A section.Let's get started on your journey to mastering data pipelines in the cloud! Who this course is for Data professionals working with cloud-based tools Students or professionals looking to showcase a real-time Azure Data Engineering project. Data analysts wanting to expand their knowledge of cloud data pipelines. Aspiring data engineers seeking hands-on experience with Azure tools and frameworks. Data scientists aiming to improve their understanding of data processing in the cloud. Database developers interested in learning how to integrate cloud technologies into their workflows. Azure developers eager to learn how to build scalable data pipelines using Azure services. IT professionals looking to switch or enhance their skills in data engineering. Cloud enthusiasts who want to explore Azure data services for handling large-scale data. Database administrators who want to manage and optimize cloud-based data storage. 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Free Download Advanced Calculus Real Analysis with the Math Sorcerer Last updated 5/2023 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.67 GB | Duration: 7h 32m Selected Topics in Advanced Calculus/Real Analysis with tons of Beautiful Proofs:) What you'll learn Understand Advanced Mathematical Notation How to Write Proofs in Advanced Calculus How to Prove the Triangle, Reverse Triangle, and Bernoulli's Inequality How to Prove Various Important Results Regarding Sequences How to Prove the Squeeze Theorem How to Prove a Sequence Converges How to Prove a Sequence Diverges How to Prove Results Regarding Cauchy Sequences How to Prove a Sequence is Cauchy How to Write a Delta Epsilon Proof How to Prove a Function is Continuous How to Prove a Function is Uniformly Continuous How to Prove Pointwise Convergence How to Prove Uniform Convergence How to Prove a Function is Differentiable How to Prove a Function is Not Differentiable Understand the Convergence of Infinite Series How to Use Dirichlet's Test How to Find a Pointwise Limit How to Prove Various Key Results in Advanced Calculus Requirements Calculus 1, 2, 3, Differential equations + some proof writing experience is the typical recommendation for this material A strong desire to learn higher level mathematics Description This is a University Level course on Selected Topics in Advanced Calculus/Real Analysis with a major focus on WRITING PROOFS:) Note: Advanced Calculus(aka Real Analysis) is typically considered the HARDEST course a mathematics major will take. This course is a step above a general mathematics course. Students should have familiarity with writing proofs and mathematical notation. Basically just, 1) Watch the videos, and try to follow along with a pencil and paper, take notes! 2) Try to learn to write the proofs as I do. If you understand the proofs then you have learned a great deal. If you can write the proofs on your own then you have really graduated to the next level. 3) Repeat! If you finish even 50% of this course you will know A LOT of Advanced Calculus and more importantly your level of mathematical maturity will go up tremendously! Advanced Calculus is a beautiful yet notoriously difficult subject to learn and teach. I hope you enjoy watching these videos and working through these problems as much as I have:) Note this course has lots of very short videos. If you are trying to learn math then this format can be good because you don't have to spend tons of time on the course every day. Even if you can only spend time doing 1 video a day, that is honestly better than not doing any mathematics. You can learn a lot and because there are so many videos you could do 1 video a day for a very long time. Remember that math can be challenging and time consuming, so if you just do a little bit every day it can make your journey much more enjoyable. I hope you enjoy this course and learn lots of mathematics. Who this course is for Math Majors Anyone with a strong desire to learn higher level mathematics https://www.udemy.com/course/advanced-calculusreal-analysis-with-the-math-sorcerer/ Screenshot Rapidgator https://rg.to/file/43c835a694548342ac2138d6e3c03cd0/kclec.Advanced.CalculusReal.Analysis.with.the.Math.Sorcerer.part4.rar.html https://rg.to/file/5d292ac1a2abc83527b9123effbf1626/kclec.Advanced.CalculusReal.Analysis.with.the.Math.Sorcerer.part3.rar.html https://rg.to/file/b483251650984eab2e7e24de0b23cc8b/kclec.Advanced.CalculusReal.Analysis.with.the.Math.Sorcerer.part1.rar.html https://rg.to/file/dfffd359fe8a1e8d27f79fdd7dd687c4/kclec.Advanced.CalculusReal.Analysis.with.the.Math.Sorcerer.part2.rar.html Fikper Free Download https://fikper.com/5O7YPxB2Qi/kclec.Advanced.CalculusReal.Analysis.with.the.Math.Sorcerer.part4.rar.html https://fikper.com/HYA5bMr686/kclec.Advanced.CalculusReal.Analysis.with.the.Math.Sorcerer.part3.rar.html https://fikper.com/aC1cE0E2g6/kclec.Advanced.CalculusReal.Analysis.with.the.Math.Sorcerer.part2.rar.html https://fikper.com/vN28eQ8sJ6/kclec.Advanced.CalculusReal.Analysis.with.the.Math.Sorcerer.part1.rar.html No Password - Links are Interchangeable

Free Download A Complete Guide to Programming Fundamentals and Real-World Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 34m | Size: 385 MB "Learn Python from Scratch: Build a Strong Programming Foundation and Create Real-World Projects" What you'll learn Understand Python Fundamentals: Learn the basics of Python, including syntax, data types, and variables. Control Flow Mastery: Implement conditional statements, loops, and branching to control the flow of your programs. Functions & Modules: Write reusable code, understand function arguments, return values, and manage imports effectively. Work with Data Structures: Manipulate lists, tuples, sets, and dictionaries, and use them efficiently in various applications. File Handling: Read from, write to, and manage files in Python, including working with CSV and JSON formats. Object-Oriented Programming (OOP): Master OOP concepts such as classes, objects, inheritance, polymorphism, and encapsulation. Error Handling & Debugging: Handle exceptions gracefully and debug your programs to write robust, error-free code. Libraries & APIs: Learn to install and use external Python libraries and interact with APIs for enhanced project functionality. Build Real-World Projects: Integrate Python skills to develop and deploy projects using libraries like pandas and Matplotlib for data analysis. Requirements No prior programming experience required - this course is designed for complete beginners to masters A computer with internet access - to install Python and follow along with the coding exercises. Basic computer skills - students should be comfortable with downloading and installing software. Desire to learn - a willingness to practice coding and problem-solving as you progress through the course. Description Are you ready to unlock the full potential of Python, the language used by top tech companies like Google and Netflix? Whether you're completely new to programming or looking to level up your skills, this course will guide you from absolute beginner to confident Python programmer, with no prior experience required.This course offers a practical, hands-on approach to learning Python, taking you from the fundamentals to building real-world projects. Along the way, you'll gain the skills needed to automate tasks, analyze data, and create robust applications that solve real problems.Why choose Python? Python is not only beginner-friendly but also one of the most versatile languages used in web development, data science, machine learning, and automation. With its simple syntax and powerful capabilities, you can quickly and easily transition from learning to doing, turning your new skills into practical, tangible results.In this course, you'll also have access to coding exercises, quizzes, and real-world examples to solidify your understanding of Python. Plus, with lifetime access, you can revisit the material anytime, whenever needed. Don't miss out on the chance to learn one of the most versatile and powerful programming languages today. Join now and start your journey to mastering Python! Who this course is for Beginners in Programming - Ideal for those with no prior experience who want to learn Python from scratch. Aspiring Developers - Anyone looking to build a foundation in programming and eventually pursue careers in software development, web development, or app development. Data Science & AI Enthusiasts - Individuals interested in exploring Python for data analysis, machine learning, or artificial intelligence. Professionals Seeking to Automate Tasks - Office professionals and IT personnel looking to use Python to automate tasks and improve workflows. Students and Learners - College or high school students interested in learning Python as part of their curriculum or for personal development. Hobbyists & Tinkerers - Anyone who enjoys learning new technologies and wants to build fun, practical projects with Python. Homepage https://www.udemy.com/course/a-complete-guide-to-programming-fundamentals-and-real-world/ Screenshot Rapidgator https://rg.to/file/536d85728b2880b1760de8cc932d3077/lgzqi.A.Complete.Guide.to.Programming.Fundamentals.and.RealWorld.rar.html Fikper Free Download https://fikper.com/N0ZoIGephy/lgzqi.A.Complete.Guide.to.Programming.Fundamentals.and.RealWorld.rar.html No Password - Links are Interchangeable

Free Download 45 Real World Java Development Projects Bootcamp Course 2024 Last updated 4/2024 Created by Engineering Org In MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 398 Lectures ( 75h 44m ) | Size: 23.4 GB Java Programming Course: Learn Development Of JAVA Projects Using JSP,JDBC, Servlets, Swing, Spring Boot,Maven,Hibernate What you'll learn Gain in-depth understanding of core & advanced features of Java Master design principles, best practices and coding conventions for writing well-designed, professional Java code Get real-world experience by developing an Java based Web application using technologies like JSP, Servlets Master Object-Oriented Programming concepts by using a real-world application as a case study Requirements Knowledge Of JAVA Description What is Java?Java is a cross-platform object-oriented programming language that was released by Sun Microsystems in the year 1995 . Today, Java is needed to run various applications such as games, social media applications, audio and video applications, etc .What is Java used for?Before I go ahead with this, let me brief you about why you should choose Java . It is highly popular and has dominated this field from early 2000's till the present 2022 .Some of the applications are listed below:· Banking: To deal with transaction management .· Retail: Billing applications that you see in a store/restaurant are completely written in Java .· Information Technology: Java is designed to solve implementation dependencies .· Android: Applications are either written in Java or use Java API .· Financial services: It is used in server-side applications .· Stock market: To write algorithms as to which company they should invest in .· Big Data: Hadoop MapReduce framework is written using Java .· Scientific and Research Community: To deal with huge amount of data .In This Course We Are Going To Work On 45 Java Projects:Project-1 : Electricity Billing System - Java Core, Swing, JDBC, MySQLProject-2 : Hotel Management System - Java Core, Swing, JDBC, MySQLProject-3 : Airlines Management System - Java Core, Swing, JDBC, MySQLProject-4 : University Management System - Java Core, Swing, JDBC, MySQLProject-5 : Travel and Tourism Management System - Java Core, Swing, JDBC, MySQLProject-6 : Store Billing System - Java Core, Swing, JDBC, MySQLProject-7 : Bank Management System - Java Core, Swing, JDBC, MySQLProject-8 : Application World - Java Core, Swing, AWTProject-9 : Payroll System - Java Core, Swing, JDBC, MySQLProject-10 : Cab Booking System - Java Core, Swing, JDBC, MySQLProject-11 : Simple Playlist Application In java - Java SE & OOPSProject-12 : Simple Web Browser Application - Java SE, Maven & OpenJFXProject-13 : Pentominoes Game In java - Java SE, Swing APIProject-14 : Number Puzzle Game In Java - Java SE, Swing APIProject-15 : Currency Converter API - Java SE, Maven, SwingProject-16 : Bridge game in Java - Java SE, Swing & Java AWTProject-17 : Rock Scissor Paper Game in java - Java SE, Maven, SwingProject-18 : Dungeon: The Adventure Game In Java - Java SE & OOPSProject-19 : Minesweeper Game in Java - Java SE, Swing APIProject-20 : Sokoban: A video puzzle game in Java - Java SE, Swing APIProject-21 : Create a School Payment Management System in JAVA-Core javaProject-22 : Build Your Own Notepad Clone using JAVA-Core javaProject-23 : Create a Game of Feeding the Snake using JAVA GUI-Core JAVA, JAVA Swing, JAVA AWTProject-24 : Create a Music Playlist Library using JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-25 : Create an Interesting Game of Noughts and Crosses in JAVA-Core javaProject-26 : Create a Food Ordering System in JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-27 : Create a Download Manager in JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-28 : Create an ATM Machine Interface using JAVA-Core javaProject-29 : Create A Contact Repository Interface Using JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-30 : Build A Painting Canvas Tool Using JAVA Swing-Core javaProject-31 : Build An Interactive BST Visualizer Application In JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-32 : Build A File Browser Interface Using JAVA Swing-Core JAVA, JAVA Swing, JAVA AWTProject-33 : Create A Time And Task Management System In Java -Core javaProject-34 : Email Administration System - Java coreProject-35 : Event Management System - Java servletProject-36 : Online Quiz system - JDBC, JSPProject-37 : E library System - Java servlet, JDBCProject-38 : TCP Chat Application - Java networking, java swingProject-39 : Covid Information Tracker - Java spring boot, jdbcProject-40 : Blog & Report System - Java, JSP, AJAXProject-41 : Email System Web App - Java Servlet, JSPProject-42 : Network Packet Tracer Using Java - Java Swing, MavenProject-43 : Symmetric Encryption Cryptography in JavaProject-44 : Employee Management System - Java, Spring framework, Hibernate, Heroku developmentProject-45 : Breakout Ball Game - Java, OOPs, Java AWT swing Who this course is for Beginners In JAVA Homepage https://www.udemy.com/course/java-programming-project-using-jsp-jdbc-servlets/ Screenshot Rapidgator 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Free Download Udemy - Building Smarter Real-World Generative Ai Systems Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 582.33 MB | Duration: 1h 48m Building Smarter Real-World Generative AI Systems with LangGraph and LangChain What you'll learn Explore Lang graph and Build Agentic Applications Learn Generative AI using Langchain and Lang Graph Explore Lang graph and Build Agentic Applications Provides End to end tutorial for LangChain Requirements Basic python programming and NLP Description Welcome to Building a Generative AI Application with LangGraph by Learner's Spot! This course is designed to equip you with the knowledge and skills needed to create your very own Generative AI application. Whether you're a beginner or looking to deepen your understanding, we've structured this course to guide you step-by-step through essential concepts and practical applications.What You'll Learn:Introduction to Generative AI & LLMs: Kick off your journey with a comprehensive overview of Generative AI and Large Language Models. Understand the fundamental principles behind these technologies and how they empower intelligent applications.Exploring the Langchain Framework: Dive into the components of the Langchain Framework and discover how data flows within it. We'll prepare you for hands-on work by setting up your development environment with Python and Langchain.Utilizing Langchain's Tools: Learn how to leverage Langchain's built-in tools and how to create custom ones tailored to your unique needs.Understanding Agents: We'll introduce you to the concept of Agents, with a special focus on the REACT agent, discussing its advantages and limitations.Deep Dive into LangGraph: The heart of this course is LangGraph. Explore its key features, advanced functionalities like the multi-agent approach, and smart planning through real-world examples.Mastering Key Terminologies: Get familiar with essential LangGraph terminologies, such as states, nodes, and edges, and understand their significance in building structured AI systems.Building Your First AI-Driven Chatbot: Apply what you've learned by constructing your first chatbot using LangGraph. This hands-on project will provide practical experience with the framework.Exploring Retrieval-Augmented Generation Applications: Discover how Retrieval-Augmented Generation (RAG) applications enhance language models by integrating external information retrieval before response generation.Hands-On RAG Application Session: Parti[beeep]te in a guided session to create a RAG application, solidifying your understanding of this powerful approach. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Generative AI & LLMs: A Comprehensive Guide Lecture 2 Generative AI Lecture 3 LLM Section 3: Introduction to LangChain Lecture 4 LangChain FrameWork Lecture 5 LangChain Dataflow Section 4: Setting Up Environment Lecture 6 Python Installation Lecture 7 LangChain and LangGraph Installation Lecture 8 Setting up OpenAI Account Lecture 9 Setting up Jupyter notebook Lecture 10 Setting API Key in Environment File Section 5: Tools and Agents Lecture 11 What is Tools Lecture 12 Types of Tools Lecture 13 Built-in Tools Lecture 14 Components of a Tool Lecture 15 Custom Tools Lecture 16 Agents Lecture 17 ReAct Agent Lecture 18 ReAct Agent in detail Lecture 19 Building ReAct Agent Lecture 20 Disadvantages of Agent Section 6: Introduction to LangGraph Lecture 21 What is LangGraph Lecture 22 Key Features of LangGraph Lecture 23 LangGraph in Action: A Real-World Example Lecture 24 Salvation by Multi-Agent Approach Lecture 25 Smarter Planning with Stateful Systems Lecture 26 Optimizing Decisions with Cycles and Persistence Lecture 27 Interactive and Real-Time Systems Lecture 28 LangGraph's Inspiration Section 7: LangGraph Key Terminologies Lecture 29 Introduction to LangGraph World Lecture 30 Understanding State in LangGraph Lecture 31 State Definition in Python Lecture 32 Node Activation and Execution Lecture 33 Understanding Edges : Connecting the Dots Lecture 34 Exploring State Graph: Managing Communication and Workflow Lecture 35 Enhancing AI Interactions with Message Graph Section 8: Creating Your First Graph Lecture 36 First Graph Preview Lecture 37 Building a basic Chatbot Lecture 38 Enhancing Chatbot with Tools Section 9: Introducing RAG World Lecture 39 Introduction to RAG Lecture 40 RAG Pipeline Lecture 41 Components of RAG Section 10: Real-world applications - RAG Lecture 42 Simple RAG App Overview Lecture 43 Building a Retriever Lecture 44 Agentic RAG : App Overview Lecture 45 Building Agent Node Lecture 46 Buildng Generate Node Lecture 47 Constructing Graph Lecture 48 Visualize the RAG Graph Lecture 49 Experiment the RAG Section 11: Conclusion Lecture 50 Conclusion Who is interested to develop GenAI Application using LangGraph Homepage https://www.udemy.com/course/building-smarter-real-world-generative-ai-systems/ Rapidgator https://rg.to/file/29f0d07ae7de2ee4b85d93b451fb5442/pugpf.Building.Smarter.RealWorld.Generative.Ai.Systems.rar.html Fikper Free Download https://fikper.com/6bFCk0df0E/pugpf.Building.Smarter.RealWorld.Generative.Ai.Systems.rar No Password - Links are Interchangeable

Free Download Parametric Facade Rebuilding Real Projects With Grasshopper Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.13 GB | Duration: 3h 52m Master Parametric Facade Design with Grasshopper: Recreate Real Projects, Learn Advanced Techniques, and Optimize Design What you'll learn Recreate Iconic Parametric Facades: Learn how to rebuild real-world parametric facade designs, step-by-step, using Grasshopper Rhino. Develop Custom Parametric Facades: Apply your skills to design unique, adaptive, and scalable facade systems tailored to specific architectural needs. Optimize Design Workflow for Efficiency: Improve your design process with advanced Grasshopper techniques, enabling faster iterations and smarter solutions for Master the Basics of Grasshopper: Gain a solid understanding of Grasshopper's interface, components, and workflow for parametric design. Requirements No prior experience with Grasshopper is necessary, as the course will cover fundamental concepts and build up to advanced parametric facade design. Description Are you looking to master parametric facade design and accelerate your learning process? This course is designed for architects, designers, and engineers who want to dive into the world of parametric architecture using Grasshopper Rhino. Instead of theoretical exercises, you will rebuild some of the best real-world parametric facade projects. This hands-on approach ensures that you acquire practical skills quickly while working on recognizable architectural designs.Throughout this course, you'll start by learning the fundamentals of Grasshopper, focusing on its interface, components, and basic parametric workflows. As you progress, we will guide you step-by-step in recreating complex facade systems from well-known buildings. Each project is broken down into manageable sections, making it easier to grasp how parametric design principles are applied in real-world scenarios.You will not only learn how to replicate these facades but also how to customize and adapt designs to fit different architectural requirements. We will cover advanced design optimization techniques that improve workflow efficiency and help you iterate faster.By the end of the course, you will have built several iconic parametric facades and developed the confidence to create your own complex designs. This course is ideal for anyone looking to improve their parametric design skills in a short time and apply them in real architectural projects. Overview Section 1: Rebuild Real Projects Facade using Grasshopper Lecture 1 Project 1: Kinetic façade design Grasshopper, designed by Foster+Partners Lecture 2 Project 2: Al Bahar Tower Lecture 3 Project 3: Warminska Shopping Gallery Kuryloqicz & Association Olsztyn, Poland Lecture 4 Project 4: Pôle Simone Veil Multifunctional and Sports Center / K architectures Lecture 5 Project 5: Karlatornet \tower / Entasis Arkitekter + SOM Lecture 6 Project 6: Cytokinesis tower in Doha Qatar by Hayriatak arch. This course is designed for architects, designers, and students who want to master parametric facade design using Grasshopper. It is ideal for those looking to enhance their skills in computational design, create innovative and adaptive architectural facades, and explore sustainability and optimization in building design. Whether you're a beginner to parametric tools or an experienced professional seeking to deepen your knowledge, this course will provide valuable, real-world applications for your projects. Homepage https://www.udemy.com/course/parametric-facade/ Rapidgator https://rg.to/file/3f9bba4581052220f3024a70deaa0bcd/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part1.rar.html https://rg.to/file/c2a0133b37f6a151f37b18b314d33693/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part2.rar.html https://rg.to/file/c2c40548fe0fdec1e303836dac773215/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part3.rar.html https://rg.to/file/2dcf7889589155aa261ac05b3f160128/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part4.rar.html https://rg.to/file/b544d8da2dab6b968554cbf1a21fe769/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part5.rar.html Fikper Free Download https://fikper.com/D9EcVOEQNG/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part1.rar https://fikper.com/SVrAmLuMtL/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part2.rar https://fikper.com/VMCvYm2TlA/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part3.rar https://fikper.com/8yySwh0AZP/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part4.rar https://fikper.com/Sj0Eo04pdA/yaxsg.Parametric.Facade.Rebuilding.Real.Projects.With.Grasshopper.part5.rar No Password - Links are Interchangeable

Free Download Learn Azure Data Factory With 15+ Real Time Based Projects Last updated 8/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.92 GB | Duration: 7h 24m Beginner level Azure Data Factory and databricks with 15+ industry based projects What you'll learn By end of this course you will be able to develop pipeline in azure data factory how to perform transformation in azure data factory how to work in real time based on Industry level business use case you will learn how to develop incremental load pipeline you will be able to debug pipelines and trigger mail when it will fail you will be able to understand about databricks architecture and how to use how to do data cleaning and develop business insight metrics and all complete 15+ real time projects you will learn how to do parameterization in data pipeline Industry level SCD type-1 projects Industry level SCD type-2 projects Failure handling and debug pipeline and learn about email alerts and all Requirements Good to have Azure Account for the practical lab Good internet and laptop/desktop Willing to learn Description This course will target anyone who likes to learn azure data factory and databricks . This course will cover all ADF components from the Model and View layer. In this course I have selected 15+ real time industry level project learning which will cover all the topic which is necessary to learn azure data factory and databricks and will be able to work on industry . This is completely hands on learning tutorial where we will do practical's based learning and by end of this course we will develop a complete ADF application together (step by step) and By the end of this course, you should be able to develop a complete ADF application by yourself.If you will be able to practical's with me you will be able to get complete picture of data factoryI have also included lessons on the storage blob Storage, amazon s3 , Azure SQL Database etc. Also, there are lessons on Azure Databricks. I have even included lessons on building reports using Power BI on the data processed by the Azure Data Factory data pipelines.this course designed for 1. Any one who wants to learn and get hands on azure data factory and databricks2. Any one looking for job change in the data engineering field3. Any one who is having knowledge about analytics4. Any one who wats to gain knowledge about industry level Business usecase. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Course curriculam Section 2: Project 1 : Amazon s3 to azure blob data pipeline Lecture 3 Introduction and business use case Lecture 4 Project Setup Lecture 5 Project setup lab Lecture 6 Project data pipeline lab Section 3: Project 2 : azure blob to another azure blob data pipeline Lecture 7 Introduction and Business Use Case Lecture 8 project setup theory Lecture 9 project setup lab Lecture 10 Project data pipeline lab Section 4: Project 3 : azure sql database to azure blob data pipeline Lecture 11 Introduction and business usecase Lecture 12 project setup theory Lecture 13 project setup lab Lecture 14 project data pipeline creation Section 5: project 4 sql table specific columns transfer to azure blob data pipeline Lecture 15 Introduction and business use case Lecture 16 project setup theory Lecture 17 project setup lab Lecture 18 project create data pipeline Section 6: project 5 : azure blob csv file to azure sql table data pipeline Lecture 19 Introduction and business usecase Lecture 20 project setup lab Lecture 21 project create data pipeline Section 7: project 6 : From 2 azure blob storage to output azure blob Lecture 22 Introduction and business use case Lecture 23 project setup lab Lecture 24 project create data pipeline Section 8: project 7 : 2 azure blob union + transformation to azure blob container Lecture 25 Introduction and business usecase Lecture 26 project setup lab Lecture 27 project create data pipeline Section 9: project 8 : dataflow transformation pipeline Lecture 28 Introduction and business use case Lecture 29 project setup lab Lecture 30 project create data pipeline Section 10: project 9 : Incremental data loading Lecture 31 introduction and business use case Lecture 32 project setup lab Lecture 33 project create data pipeline Section 11: project 10 parameterization project Lecture 34 introduction and business use case Lecture 35 project setup theory Lecture 36 project setup lab Lecture 37 project create data pipeline Section 12: project 11 : SCD type 1 implementation real time project Lecture 38 Introduction Lecture 39 project setup theory Lecture 40 project setup lab Lecture 41 project create data pipeline scd type 1 Section 13: project 12: SCD type 2 implementation real time project Lecture 42 Introduction Lecture 43 project setup lab Lecture 44 project setup lab Lecture 45 project : create data pipeline scd type 2 Section 14: project 13: data pipeline failure monitoring and email send Lecture 46 Introduction Lecture 47 project setup lab Lecture 48 project implementaion Section 15: Databricks Introduction and architecture Lecture 49 What is data bricks and architecture Lecture 50 databricks overview and account creation Section 16: project 14 ADF + DATA BRICKS + TABLEAU PROJECT Lecture 51 PROJECT IMPLEMETATION Section 17: Project 15 : covid dataset analysis in databricks Lecture 52 mount amazon s3 to databricks and project implementation Section 18: Project 16 : superstore dataset analysis in databricks Lecture 53 project 16: superstore dataset datbricks project Section 19: project 17 pyspark based project Lecture 54 pyspark real time project Any one who wants to learn and get hands on azure data factory and databricks,Any one looking for job change in the data engineering field,Any one who is having knowledge about analytics,Any one who wats to gain knowledge about industry level Business usecase,Beginners can also be able to start career in azure data factory and databricks Homepage https://www.udemy.com/course/learn-azure-data-factory-with-15-real-time-based-projects/ Rapidgator https://rg.to/file/ee9d3fb58f3d3aedc6653b1adba37f07/pzvih.Learn.Azure.Data.Factory.With.15.Real.Time.Based.Projects.part1.rar.html https://rg.to/file/f83406da6e9cd9fcaed4c51910e73cfd/pzvih.Learn.Azure.Data.Factory.With.15.Real.Time.Based.Projects.part2.rar.html https://rg.to/file/e63fee936cb0c952e01a6a2b7a66da01/pzvih.Learn.Azure.Data.Factory.With.15.Real.Time.Based.Projects.part3.rar.html https://rg.to/file/9b9fc40f83f102c4c34281b06a4c8d40/pzvih.Learn.Azure.Data.Factory.With.15.Real.Time.Based.Projects.part4.rar.html Fikper Free Download https://fikper.com/ggKQjuAGwY/pzvih.Learn.Azure.Data.Factory.With.15.Real.Time.Based.Projects.part1.rar https://fikper.com/1utaz3rGQM/pzvih.Learn.Azure.Data.Factory.With.15.Real.Time.Based.Projects.part2.rar https://fikper.com/qFSOYiosSp/pzvih.Learn.Azure.Data.Factory.With.15.Real.Time.Based.Projects.part3.rar https://fikper.com/DK37Q5JJat/pzvih.Learn.Azure.Data.Factory.With.15.Real.Time.Based.Projects.part4.rar No Password - Links are Interchangeable