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Free Download The Ultimate Node-RED Programming for Electronics DIY Published 9/2024 Created by Sophea Chun MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 54m ) | Size: 1.66 GB Design IoT Projects with Raspberry Pi, Arduino, and ESP32 What you'll learn: Understand the basics of Node-RED, its visual programming interface, and how it simplifies IoT application development. Learn how to install and set up Node-RED on Raspberry Pi, Arduino, and ESP32. Explore flow-based programming concepts. Build flows by connecting nodes to create automation logic. Connect Raspberry Pi, Arduino, and ESP32 devices to Node-RED. Learn how to read sensor data (e.g., temperature, humidity) and control actuators (e.g., LEDs, motors). Understand MQTT, HTTP, and other communication protocols, Implement MQTT-based communication between devices and Node-RED. Design interactive dashboards using Node-RED's dashboard nodes. Display real-time data, charts, and visualizations. Work on practical projects such as home automation, weather stations, and smart gardening systems. By the end of the course, students will have the knowledge and hands-on experience to create their own IoT solutions using Node-RED and the mentioned hardware p Requirements: Some familiarity with Raspberry Pi, Arduino, or ESP32 boards is beneficial. If students are new to these platforms, they can start with basic tutorials to understand their components and usage. A basic understanding of Internet of Things (IoT) principles will be useful. While no prior experience with Node-RED is required, students should be open to learning a visual programming approach. Basic knowledge of connecting components (sensors, LEDs, etc.) to these boards is essential. Enthusiasm for hands-on learning and building real-world IoT applications is key. Curiosity and a willingness to explore different project ideas are encouraged! This course is designed to guide beginners through the process, so even if students don't meet all prerequisites, their curiosity and willingness to learn will go a long way! Description: Certainly! In the course titled "Node-RED Programming: Design IoT Projects with Raspberry Pi" students will embark on an exciting journey into the world of Internet of Things (IoT) development. Node-RED is a powerful, flow-based development tool for visual programming, perfect for IoT projects. With Node-RED, you can easily create workflows to control your devices, integrate APIs, and much more. Here's what they'll learn:Introduction to Node-RED:Understand the fundamentals of Node-RED, a powerful visual editor for building IoT applications.Set up Node-RED on Raspberry Pi.Flow-Based Programming:Explore flow-based programming concepts.Create automation logic by connecting nodes within Node-RED.Device Integration:Connect sensors, actuators, and devices to Node-RED.Learn how to read data from Raspberry Pi.IoT Protocols and Communication:Dive into communication protocols like MQTT and HTTP.Implement MQTT-based communication between devices and Node-RED.Dashboard Creation:Design interactive dashboards using Node-RED's nodes.Visualize real-time data, charts, and visual elements.Advanced Topics:Master debugging techniques, error handling, and logging in Node-RED.Integrate external APIs and cloud services seamlessly.Hands-On Projects:Work on practical projects such as home automation, weather stations, and more.Apply your skills to real-world scenarios and unleash your creativity!By the end of this course, students will be well-equipped to build their own IoT solutions using Node-RED, Raspberry Pi. Let's dive in and create something amazing! Who this course is for: Students or professionals with a background in electronics or computer science who want to learn about IoT and its applications. Hobbyists or DIY enthusiasts who want to build their own IoT projects using Raspberry Pi, ESP32 and Arduino. Entrepreneurs who want to explore the potential of IoT and its impact on businesses. Engineers or developers who want to integrate IoT into their existing projects or products. Anyone who is curious about IoT and wants to learn about this exciting and rapidly growing field. This course is ideal for beginners who want to explore IoT development using Node-RED and popular hardware platforms like Raspberry Pi, Arduino, and ESP32. Whether you're a hobbyist, a student, or someone curious about building practical IoT projects, this course provides a solid foundation. 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Free Download C Programming Essentials - Roadmap to Becoming a C Programmer Published 9/2024 Created by Sarmad Jadoon MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 30 Lectures ( 7h 25m ) | Size: 2.41 GB Mastering C Programming, Coding in C, C Language Basics and Beyond, Essential Programming Concepts in C, C Coding Skills What you'll learn: Program Execution Steps C Program Structure Variables in C Input and Output 1D and 2D Arrays Decision Making Structures Functions Pointers Structures Requirements: No programming experience needed. You will learn everything you need to know Description: Welcome to my course, "C Programming Essentials: Roadmap to Becoming a C Programmer." This course is designed to make the art of C programming easier for students. So far, we have covered the following sections:Installing Code::Blocks IDE: In this section, we discuss what an Integrated Development Environment (IDE) is and explore the different IDEs available for C programming. We will then learn how to download and install Code::Blocks IDE.Beginning to Write C Program Code: In this section, we will write our first C program and discuss the execution flow of a C program.Using Comments to Clarify Code: This section covers style guidelines and the use of comments to clarify program code.Structure of a C Program: Here, we will discuss the structure of a C program and explore the printf() function.Input and Output: This section covers the printf(), scanf(), and getche() functions in detail.Loops: In this section, students will learn how loops are used to repeat a block of code, covering the for, while, and do-while loops.Decision-Making Structures: We will delve into different decision-making structures, including the if statement, nested if statements, the if-else statement, and the switch statement.Variables: This section covers constants and variables, including how to define and initialize them.Arrays: Here, we will explain what arrays are, how to define them, and how to enter data into and read data from arrays, as well as how to initialize arrays.Functions: This section covers functions, the program-like entities that help organize code, the structure of functions, and how to pass arguments to a function.By the end of this course, you'll have a comprehensive understanding of C programming, preparing you for further study or real-world applications. Join us and embark on your journey to becoming a proficient C programmer! Who this course is for: Students wanting to learn the basics of C language Homepage https://www.udemy.com/course/c-programming-essentials/ Rapidgator https://rg.to/file/38931bc0b4f94c9dc847667c4b1a5e01/nympa.C.Programming.Essentials.Roadmap.to.Becoming.a.C.Programmer.part1.rar.html https://rg.to/file/3d6bb947d999e8301131fe490f69e422/nympa.C.Programming.Essentials.Roadmap.to.Becoming.a.C.Programmer.part2.rar.html https://rg.to/file/4d6ac38adc3cac4f396a5218d0892868/nympa.C.Programming.Essentials.Roadmap.to.Becoming.a.C.Programmer.part3.rar.html Fikper Free Download https://fikper.com/AhXwXfetYt/nympa.C.Programming.Essentials.Roadmap.to.Becoming.a.C.Programmer.part3.rar.html https://fikper.com/LR0y2iAHlT/nympa.C.Programming.Essentials.Roadmap.to.Becoming.a.C.Programmer.part1.rar.html https://fikper.com/OohBuI2ww6/nympa.C.Programming.Essentials.Roadmap.to.Becoming.a.C.Programmer.part2.rar.html No Password - Links are Interchangeable

Free Download Rust Programming From Fundamentals to Advanced Concepts with AI-Assisted Development Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 6h 35m | Size: 928 MB Get a solid foundation in the powerful and efficient Rust programming language with core language concepts, syntax, tooling, and best practices. Learn Rust basics like variables, data types, control flow, and ownership rules. Then, move on to advanced concepts, including structs, enums, traits, lifetimes, and concurrency. The course also explains how to use powerful tools like rust-analyzer, development and debugging techniques, string manipulation, error handling, and more. Plus, learn about leveraging AI pair programming with GitHub Copilot, Rust coding best practices for readability and performance, building and documenting your own libraries using Cargo, and techniques for writing safe, concurrent, and lock-free code Whether you're starting as a total beginner or experienced programmer, check out this course to master Rust to build reliable, high-performance software. Homepage https://www.linkedin.com/learning/rust-programming-from-fundamentals-to-advanced-concepts-with-ai-assisted-development TakeFile https://takefile.link/7mzyqzqxvty6/jwgsi.Rust.Programming.From.Fundamentals.to.Advanced.Concepts.with.AIAssisted.Development.rar.html Rapidgator https://rg.to/file/cece4ad4e1cf7a0a8c6588acc25b2d0f/jwgsi.Rust.Programming.From.Fundamentals.to.Advanced.Concepts.with.AIAssisted.Development.rar.html Fikper Free Download https://fikper.com/y2TmjXQIUx/jwgsi.Rust.Programming.From.Fundamentals.to.Advanced.Concepts.with.AIAssisted.Development.rar.html No Password - Links are Interchangeable

Free Download CS Primer - Programming Beyond the Basics Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 17 Lessons ( 11h 15m ) | Size: 3 GB There are countless ways to write any given program. This course is designed to ensure that you have all the tools at your disposal to fully express yourself with code, including functional composition and recursion, object oriented programming, and a basic understanding of concurrency. If you are already familiar with the concepts covered below, you may prefer to cherry pick any interesting problems or skip ahead to Computer Systems I will also use this course as an opportunity to share some of my philosophy of programming, as well as some of preferences for how I like to approach the practice of programming. I won't pretend to have the final word on these topics: there is no one correct way. But others have found these thoughts helpful in the past, and you might too. At the core of this course however are the sequences of problems for each topic. You should aim to solve each problem, using the worked solutions and supplementary explainers as needed. For more suggestions on how to approach CS Primer, see the how-to guide. As a supplementary text, I recommend Composing Programs by John DeNero, or the classic SICP upon which it is based, either in the original Scheme or newer JavaScript version. For a more playful, problem-oriented approach, I also highly recommend The Little Schemer, particularly on the topics of higher order functions and recursion. I will mostly use Python as the language of choice below, but you're welcome to work in another language if you prefer. Those that don't support higher order functions and/or classes may find some problems more challenging to adapt. NOTE: I am currently recording this course and will release problems progressively Homepage https://csprimer.com/courses/programming/ Rapidgator https://rg.to/file/4bbb38b443f016e483effa7d7bba2380/atxoz.CS.Primer..Programming.Beyond.the.Basics.part1.rar.html https://rg.to/file/a214fb2532f731ed563b6dc5480998d5/atxoz.CS.Primer..Programming.Beyond.the.Basics.part2.rar.html https://rg.to/file/da1c0828de709b077c21f6e20c893b12/atxoz.CS.Primer..Programming.Beyond.the.Basics.part3.rar.html https://rg.to/file/f0a8416a2a84fe24bdba95ef9b9d5523/atxoz.CS.Primer..Programming.Beyond.the.Basics.part4.rar.html Fikper Free Download https://fikper.com/z2vOcp8jJL/atxoz.CS.Primer..Programming.Beyond.the.Basics.part1.rar.html https://fikper.com/cXxl8ptGE5/atxoz.CS.Primer..Programming.Beyond.the.Basics.part2.rar.html https://fikper.com/m669iVo7v2/atxoz.CS.Primer..Programming.Beyond.the.Basics.part3.rar.html https://fikper.com/mBpK75j1jq/atxoz.CS.Primer..Programming.Beyond.the.Basics.part4.rar.html No Password - Links are Interchangeable

Free Download C/C++ Programming For Mechanical Engineering(Using Chatgpt) Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.03 GB | Duration: 8h 31m AI Powered C/C++ Programming for Core Engineering What you'll learn Understand C/C++ Basics How to Use ChatGPT for Programming Integration of C/C++ with real-world industrial systems. AI tools for code optimization and debugging. Requirements Laptop/PC with Internet Connection Description Unlock the power of C/C++ programming tailored for core engineers working in the rapidly evolving fields of Industry 4.0.This course blends traditional C/C++ coding practices with AI-driven insights, equipping you with modern problem-solving techniques.Specifically designed for professionals in manufacturing, mechanical, and industrial sectors, this program emphasizes hands-on coding experience, automation, and smart learning strategies through tools like ChatGPT.Throughout this course, you'll learn how to:Master foundational and advanced C/C++ programming concepts.Implement AI-based solutions to streamline complex engineering processes.Integrate programming with mechanical and industrial systems for Industry 4.0 applications.Develop code for real-time industrial automation and intelligent systems.RequirementsAccess to a computer.Willingness to explore AI tools like ChatGPT for smart coding.AudienceMechanical, manufacturing, and industrial engineers.Professionals in Industry 4.0 looking to enhance coding skills.Engineers seeking AI-driven solutions for automation and real-time applications.Those interested in integrating C/C++ with industrial systems.What Will You Learn?Core C/C++ programming skills.AI tools for code optimization and debugging.Integration of C/C++ with real-world industrial systems.In this course, students will:Understand C/C++ Basics: Learn fundamental programming concepts and terminology.Write Simple Programs: Develop and run basic C/C++ applications using an IDE.Control Program Flow: Utilize conditional statements and loops to manage program execution.Create Functions: Design reusable functions and explore recursion.Work with Data Structures: Manage data using arrays, strings, and pointers.Apply Object-Oriented Programming: Model mechanical systems with classes and objects.Handle File I/O: Read from and write to files for data storage and retrieval.Implement Numerical Methods: Solve engineering problems using basic algorithms.Complete a Practical Project: Develop a capstone project applying programming skills to real-world mechanical engineering challenges. Overview Section 1: Introduction to Programming Lecture 1 Overview of Programming Languages Section 2: Setting Up the Development Environment Lecture 2 Setting Up the Development Environment Section 3: Basic Syntax and Data Types Lecture 3 Variables, Data Types (int, float, char, etc.) Lecture 4 Operators (Arithmetic, Logical, Relational) Section 4: Decision Making Lecture 5 Decision Making Section 5: Loops Lecture 6 for loop, while loop, do-while loo Lecture 7 Nested Loops Section 6: Introduction to Functions Lecture 8 Defining and Calling Functions Section 7: Introduction to Arrays Lecture 9 Arrays Section 8: Pointers Lecture 10 Basics of Pointers Lecture 11 Pointers and Functions (Use of ChatGPT) Section 9: Strings Lecture 12 String Manipulation Section 10: Structures in C/C++ Lecture 13 Defining and Using Structures Section 11: File Handling Lecture 14 Reading from and Writing to Files and Binary File Operations Section 12: Practical Application in Mechanical Engineering Lecture 15 Practical Application in Mechanical Engineering Section 13: Introduction to OOP Lecture 16 OOP Section 14: Inheritance and Polymorphism Lecture 17 Inheritance and Polymorphism Section 15: Encapsulation and Abstraction Lecture 18 Access Specifiers (Private, Public, Protected) , Abstract Classes and Interfaces Section 16: Dynamic Memory Allocation Lecture 19 Dynamic Memory Allocation Section 17: Templates and STL (Standard Template Library) Lecture 20 Templates and STL Section 18: Error Handling and Debugging Lecture 21 Error Handling and Debugging Section 19: Numerical Methods in C/C++ Lecture 22 Numerical Methods in C/C++ Section 20: Simulation and Modelling Lecture 23 Simulation and Modelling Section 21: Case Study: Real-World Application Lecture 24 Building a Small Project Mechanical, manufacturing, and industrial engineers.,Mechanical Engineers students,Any Core Engineering students and Engineers Homepage https://www.udemy.com/course/c-and-c-plus-plus-programming-for-mechanical-engineering/ Rapidgator https://rg.to/file/2224c64c7bd8640565877683a90dd63c/xzunb.CC.Programming.For.Mechanical.EngineeringUsing.Chatgpt.part1.rar.html https://rg.to/file/dd587be9c5630f695027492fa40d0b1f/xzunb.CC.Programming.For.Mechanical.EngineeringUsing.Chatgpt.part2.rar.html https://rg.to/file/9b548c3452a117d60afc7f2719a2a902/xzunb.CC.Programming.For.Mechanical.EngineeringUsing.Chatgpt.part3.rar.html https://rg.to/file/668cb1a59ef11914e3af961c72b800ac/xzunb.CC.Programming.For.Mechanical.EngineeringUsing.Chatgpt.part4.rar.html https://rg.to/file/f1801e95ba67bea886f0b7f3970145f8/xzunb.CC.Programming.For.Mechanical.EngineeringUsing.Chatgpt.part5.rar.html https://rg.to/file/7eefa79d2a3d503314935d34890c80a5/xzunb.CC.Programming.For.Mechanical.EngineeringUsing.Chatgpt.part6.rar.html Fikper Free Download https://fikper.com/uVPN1NiTfJ/xzunb.CC.Programming.For.Mechanical.EngineeringUsing.Chatgpt.part1.rar.html https://fikper.com/8uaOfkxD5u/xzunb.CC.Programming.For.Mechanical.EngineeringUsing.Chatgpt.part2.rar.html https://fikper.com/KeezhgOFU2/xzunb.CC.Programming.For.Mechanical.EngineeringUsing.Chatgpt.part3.rar.html https://fikper.com/qFMHz5xts8/xzunb.CC.Programming.For.Mechanical.EngineeringUsing.Chatgpt.part4.rar.html https://fikper.com/wkRhAyovAz/xzunb.CC.Programming.For.Mechanical.EngineeringUsing.Chatgpt.part5.rar.html https://fikper.com/QGgAHf89H9/xzunb.CC.Programming.For.Mechanical.EngineeringUsing.Chatgpt.part6.rar.html No Password - Links are Interchangeable

Free Download Python OOPS - Object Oriented Programming For Python Beginner Last updated 11/2023 Duration: 2h57m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 755 MB Genre: eLearning | Language: English Learn Object Oriented Programming in Python With Concepts For Beginners! (Quiz + Exercise + Cheatsheet) | Better Coding! What you'll learn Master Principles And Understanding Of Object Oriented Programming In Python You Will Learn Each Important Topic - Classes, Object, Inheritance, Abstraction And More With Proper Examples Access To Python Cheatsheet To Excel Core Python Concepts You Will Understand How Object Oriented Programming Is More Efficient Than Procedure Oriented Programming You Will Understand How To Reuse Old Code For New Projects Learn To Write Clean And Proper Python Code With Concept. Learn About 4 Pillars Of Object Oriented Programming! Learn How To Handle Error And Exceptions With Python Access To All Theory Material With Quizzes. Requirements You Should Be Familiar With Basic Python Fundamentals Description Welcome to Object-Oriented Programming With Python , One single course to start your Object-Oriented Journey from Step-by-Step , This course touches each and every important concept of OOPS with it's latest version, OOP is one of the most important concepts of programming, It is important because Makes Visualization easier (Closest to real-world scenarios) Reuse the code, Saves time, Reduce lines of code, Shrinks your project. Makes code Readable by adding a structure to data with the related methods for this data. Modularity for easier troubleshooting Reuse of code through inheritance Flexibility through Polymorphism Course will help you to explore about Classes-Object, Abstraction, Encapsulation, Inheritance and Polymorphism. We will also focus on the DRY (Don't Repeat Yourself) approach to improve our code writing and problem-solving skills. Throughout the course, you will get tons of Quiz, Sample Codes, and Theory material to revise the course in a proper format. After completing this course you will be Industry Level Ready to work as Intern, Fresher, or Freelancer and you will also be able to implement everything on your website itself! Enroll now and I will make sure you learn best about Python OOPS Concepts ! Who this course is for Anyone who want enhance Python skills by learning the basics of Object Oriented Programming (OOPS) Anyone who want to grasp the concept with real example and quizzes. Homepage https://www.udemy.com/course/python-programming-masterclass Rapidgator https://rg.to/file/79e033617990d957689a0a9c33bb4957/aqemc.Python.OOPS.Object.Oriented.Programming.For.Python.Beginner.rar.html Fikper Free Download https://fikper.com/PsklHzWmjN/aqemc.Python.OOPS.Object.Oriented.Programming.For.Python.Beginner.rar.html No Password - Links are Interchangeable

Free Download Coursera - Rust Programming Specialization Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 397 Lessons ( 32h 30m ) | Size: 3.7 GB Master Rust for Powerful Systems Programming. Learn to build robust and efficient software with Rust's unique safety and speed through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations. Skills you'll gain Computer Programming Rust (Programming Language) Cargo Information Engineering Cloud Computing Command-Line Interface Polars Devops AWS Lambda Natural Language Processing AI pair programming serverless This comprehensive Rust Specialization from Coursera and Duke University, a top Data Science and AI program, provides software engineers, data scientists, and technical professionals with applied skills to leverage Rust's speed, safety, and versatility for robust systems programming. Over five courses spanning foundational syntax to advanced machine learning integrations, master Rust programming through hands-on lessons and 20+ coding projects, then tackle real-world challenges like building a database migration tool, optimizing an ML pipeline, or creating a Linux automation script. Upon completion, you'll have portfolio-ready Rust abilities to apply for roles like Platform Engineer, MLOps Engineer, Data Engineer, Embedded Engineer, or Backend Developer. Applied Learning Project Through over 20 hands-on coding projects like building a Rust chatbot, containerizing a web service, developing a Linux automation script, or optimizing a machine learning pipeline, learners will gain authentic, portfolio-ready experience applying their Rust skills to tackle real-world systems programming problems designed by experts at Duke University. Homepage https://www.coursera.org/specializations/rust-programming TakeFile https://takefile.link/uvs2hkfpv9ie/rqzaj.Coursera..Rust.Programming.Specialization.part1.rar.html https://takefile.link/bkldycm3y6g5/rqzaj.Coursera..Rust.Programming.Specialization.part2.rar.html https://takefile.link/dryiapx9gb6t/rqzaj.Coursera..Rust.Programming.Specialization.part3.rar.html https://takefile.link/koz7zgmgrfpd/rqzaj.Coursera..Rust.Programming.Specialization.part4.rar.html Rapidgator http://peeplink.in/b094dca69ac1 Fikper Free Download https://fikper.com/ewZ1WBzV7o/rqzaj.Coursera..Rust.Programming.Specialization.part1.rar.html https://fikper.com/IkOLGT80CS/rqzaj.Coursera..Rust.Programming.Specialization.part2.rar.html https://fikper.com/lYGTqGzhFl/rqzaj.Coursera..Rust.Programming.Specialization.part3.rar.html https://fikper.com/C8IBSb2fuH/rqzaj.Coursera..Rust.Programming.Specialization.part4.rar.html No Password - Links are Interchangeable

Free Download Coursera - Python 3 Programming Specialization Last updated 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 295 lessons ( 28h 36m ) | Size: 4.7 GB Become a Fluent Python Programmer. Learn the fundamentals and become an independent programmer. What you'll learn Learn Python 3 basics, from the basics to more advanced concepts like lists and functions. Practice and become skilled at solving problems and fixing errors in your code. Gain the ability to write programs that fetch data from internet APIs and extract useful information. Skills you'll gain Json Computer Programming Python Programming Sorting This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance. You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don't work. By the end of the specialization, you'll be writing programs that query Internet APIs for data and extract useful information from them. And you'll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer. This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python . But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first. Applied Learning Project By the end of the second course, you will create a simple sentiment analyzer that counts the number of positive and negative words in tweets. In the third course, you will mash up two APIs to create a movie recommender. The final course, Python Project: pillow, tesseract, and opencv (Course 5), is an extended project in which you'll perform optical character recognition (OCR) and object detection in images. Homepage https://www.coursera.org/specializations/python-3-programming TakeFile https://takefile.link/a3img3ofabso/xzeyn.Coursera..Python.3.Programming.Specialization.part1.rar.html https://takefile.link/44y9daqqjz3k/xzeyn.Coursera..Python.3.Programming.Specialization.part2.rar.html https://takefile.link/mrsg1jo7dgae/xzeyn.Coursera..Python.3.Programming.Specialization.part3.rar.html https://takefile.link/2tqkyo592jim/xzeyn.Coursera..Python.3.Programming.Specialization.part4.rar.html https://takefile.link/yu96g8419owr/xzeyn.Coursera..Python.3.Programming.Specialization.part5.rar.html Rapidgator http://peeplink.in/fbc05f03b5e0 Fikper Free Download https://fikper.com/go81yCruWf/xzeyn.Coursera..Python.3.Programming.Specialization.part1.rar.html https://fikper.com/ytoWgjAWhb/xzeyn.Coursera..Python.3.Programming.Specialization.part2.rar.html https://fikper.com/ZNcV0hpXz3/xzeyn.Coursera..Python.3.Programming.Specialization.part3.rar.html https://fikper.com/XiWlyHe18v/xzeyn.Coursera..Python.3.Programming.Specialization.part4.rar.html https://fikper.com/uil1sbmN1e/xzeyn.Coursera..Python.3.Programming.Specialization.part5.rar.html No Password - Links are Interchangeable

epub | 9.39 MB | English| Isbn:9781638351962 | Author: Michael Pilquist, Paul Chiusano, Rúnar Bjarnasson | Year: 2023 Description: Category:Computers, Computer Programming, Programming Languages, Software Engineering, Network Programming, Programming - General & Miscellaneous, Java (Programming Language), General Software Engineering, Java (Computer program language), Software development and engineering->General and miscellaneous https://ddownload.com/y0anl4uylcl0 https://rapidgator.net/file/ff469f7f43951da839efd94d8c54cd67/ https://turbobit.net/61mrxw1q7h4s.html

Free Download Learn PHP Programming - Create Dynamic Websites with MYSQL Published 9/2024 Created by Maria EduCare MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 57 Lectures ( 5h 40m ) | Size: 2.2 GB Develop your PHP programming skills to construct dynamic websites with interactive features and advanced functionality. What you'll learn: Basic Syntax Variables Global and Static Keyword Constants Data Types Strings Numbers Arithmetic and Assignment operators Comparison operators Logical operators if & if...else Statements Nested if Statement While Loop and For Loop Functions Array Indexed and Multidimensional arrays $GLOBALS, $_SERVER, $_REQUEST, $_POST, $_GET Regular Expressions Form Validation Forms Required Fields PHP and JSON MySQL Database Connect to MySQL Create a MySQL Database Create, Delete and Update Data in table Requirements: No Programming Experience Needed Description: Are you ready to unlock the power of server-side scripting and transform your static websites into dynamic, interactive platforms? Welcome to "Learn PHP Programming: Create Dynamic Websites with MYSQL," your gateway to mastering PHP and building engaging web experiences!In this comprehensive course, you will embark on a journey through the fundamentals of PHP programming, one of the most popular and versatile server-side scripting languages used for web development. Whether you're a beginner looking to get started or a developer seeking to expand your skill set, this course is designed to provide you with a solid foundation and practical experience.Designed for beginners and intermediate developers alike, this course provides a thorough introduction to PHP. You'll start by setting up your development environment and diving into PHP basics like syntax, variables, and operators. From there, you'll explore essential topics including form handling, database integration with MySQL, and session management.As you progress, you'll delve into more advanced topics such as form handling, sessions, and cookies, which are crucial for creating user-driven websites. The course also explores how to interact with databases using MySQL, enabling you to store and retrieve data effectively.Through hands-on projects and practical exercises, you'll apply what you've learned to build real-world applications. By the end of the course, you'll have the skills to create fully functional, data-driven websites and the confidence to tackle more complex PHP programming challenges. With clear explanations, engaging content, and support from the instructor, this course is your gateway to becoming proficient in PHP and developing dynamic web applications with ease.Key Features:Understand what PHP is, how it works, and how to set up your development environment.Master PHP syntax, variables, data types, operators, and control structures to build robust scripts.Learn how to collect, process, and validate user input through forms to create interactive web pages.Discover how to connect PHP with MySQL databases, perform CRUD operations, and manage data effectively.Implement sessions and cookies to manage user authentication and maintain state across pages.Develop skills in debugging and error handling to create reliable and error-free applications.Apply your knowledge by working on hands-on projects, including creating a blog system, user registration, and login features.Why Enroll?Beginners who want to learn PHP programming from scratch.Benefit from clear, expert instruction and actionable insights.Learn at your own pace with lifetime access to course materials.Web developers looking to enhance their skills with dynamic content.Designers and front-end developers interested in understanding server-side scripting.Anyone eager to build dynamic, interactive websites and web applications.Take the first step towards becoming a proficient PHP developer and creating dynamic websites with ease. Enroll now and start your journey to mastering PHP programming!Enroll Today and Start Building the Web Applications of Tomorrow! Who this course is for: Beginners who want to learn PHP programming from scratch. Anyone eager to build dynamic, interactive websites and web applications. 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Free Download C Programming - Exploring Advanced Concepts and Practical Applications Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 2h 11m | Size: 252 MB Are you ready to embark on the next phase of your journey with C? Join instructor Dan Gookin in this hands-on course as he demonstrates advanced-level skills and their practical applications with insightful comments and quick tips along the way. Find out what it takes to master your craft and become an expert C programmer, exploring a wide range of topics including basic I/O from the perspective of device IDs, outputting Unicode and wide-character text, multitasking and multithreading programming, linked lists, enumerated constants, data type qualifiers, the errno variable, buffered output, forking, pipes, and more. This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Configuration and setup" video to learn how to get started. Homepage https://www.linkedin.com/learning/c-programming-exploring-advanced-concepts-and-practical-applications TakeFile https://takefile.link/wzhjw19eaayj/piyhr.C.Programming.Exploring.Advanced.Concepts.and.Practical.Applications.rar.html Rapidgator https://rg.to/file/310d5b78baabf43cd6e302758ab6aac6/piyhr.C.Programming.Exploring.Advanced.Concepts.and.Practical.Applications.rar.html Fikper Free Download https://fikper.com/6Am2dhAhxA/piyhr.C.Programming.Exploring.Advanced.Concepts.and.Practical.Applications.rar.html No Password - Links are Interchangeable

Free Download R Programming For Data Science- Practise 250 Exercises-Part2 Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 644.41 MB | Duration: 3h 0m Level Up Your Skills: Advanced Challenges & Expert Insights in R Programming! What you'll learn Develop a strong foundation in R programming by solving diverse exercises, reinforcing key concepts like data types, control structures, and functions. Gain hands-on experience with popular R libraries such as dplyr, ggplot2, tidyverse, and caret to manipulate and visualize datasets effectively. Apply data wrangling techniques to clean, transform, and organize real-world datasets using R. Master data visualization by creating insightful and professional-quality plots with ggplot2 and other visualization libraries. Enhance your statistical analysis skills by performing descriptive statistics, hypothesis testing, and regression analysis in R. Explore different datasets available in R and use them to practice machine learning algorithms such as linear regression, classification, and clustering. Debug and optimize R code by identifying common errors and applying best practices for efficient coding. Prepare for real-world data science challenges by solving exercises that reflect common tasks in data analysis and machine learning projects. Requirements Basic understanding of R programming: Familiarity with R syntax, variables, data types, and basic functions. Introduction to data structures in R: Knowledge of common data structures like vectors, data frames, and lists. Passion to become Data Scientist Internet connection and Laptop Description Welcome to R Programming for Data Science - Practice 250 Exercises: Part 2! If you're ready to take your R programming skills to the next level, this course is the ultimate hands-on experience you've been waiting for. Designed for data enthusiasts, aspiring data scientists, and R programmers, this course brings you 250 brand-new challenges that will deepen your understanding of R programming, data analysis, and machine learning.Whether you're continuing from Part 1 or just starting here, this course promises to engage, challenge, and refine your skills in real-world applications of R. Dive into problem-solving scenarios, practice advanced techniques, and get ready to supercharge your data science career!10 Reasons Why You Should Enroll in This Course:250 New Exercises: Gain practical, hands-on experience with 250 fresh challenges that will test your R programming skills.Real-World Data Science Scenarios: Solve exercises designed to mimic real data science problems, giving you valuable experience that you can apply in your job.Advanced R Concepts: This course builds on foundational R knowledge, introducing more advanced topics such as data visualization, statistical analysis, and machine learning.Project-Based Learning: Learn by doing! Each exercise is a mini-project that will help you understand complex concepts in a simple, practical way.Self-Paced Learning: Enjoy the flexibility to learn at your own speed, whether you're a full-time student or a working professional.Skill-Building for Data Science: Strengthen your R programming and data science abilities, making you more competitive in the job market.Instant Feedback & Solutions: Get access to detailed solutions and explanations for each exercise, so you can learn from your mistakes and improve rapidly.Perfect for Career Growth: Whether you're aiming for a data scientist, analyst, or R programming role, this course will provide the expertise you need to succeed.Expand Your Data Science Toolkit: Learn to use R effectively for data manipulation, analysis, and visualization, essential tools for any data science professional.Supportive Learning Environment: Benefit from an active Q&A section and a community of learners who are just as passionate about data science as you are.Enroll now and take your R programming skills to the next level with R Programming for Data Science - Practice 250 Exercises: Part 2! Overview Section 1: Introduction Lecture 1 Welcome to the Course Lecture 2 Introduction to AI and ML Lecture 3 Introduction to R Programming Lecture 4 Art of Good Programming Lecture 5 Course Overview Section 2: 251-270 Lecture 6 Problem 251 Lecture 7 Soln 251 Lecture 8 Problem 252 Lecture 9 Soln 252 Lecture 10 Problem 253 Lecture 11 Soln 253 Lecture 12 Problem 254 Lecture 13 Soln 254 Lecture 14 Problem 255 Lecture 15 Soln 255 Lecture 16 Problem 256 Lecture 17 Soln 256 Lecture 18 Problem 257 Lecture 19 Soln 257 Lecture 20 Problem 258 Lecture 21 Soln 258 Lecture 22 Problem 259 Lecture 23 Soln 259 Lecture 24 Problem 260 Lecture 25 Soln 260 Lecture 26 Problem 261 Lecture 27 Soln 261 Lecture 28 Problem 262 Lecture 29 Soln 262 Lecture 30 Problem 263 Lecture 31 Soln 263 Lecture 32 Problem 264 Lecture 33 Soln 264 Lecture 34 Problem 265 Lecture 35 Soln 265 Lecture 36 Problem 266 Lecture 37 Soln 266 Lecture 38 Problem 267 Lecture 39 Soln 267 Lecture 40 Problem 268 Lecture 41 Soln 268 Lecture 42 Problem 269 Lecture 43 Soln 269 Lecture 44 Problem 270 Lecture 45 Soln 270 Section 3: 271-290 Lecture 46 Problem 271 Lecture 47 Soln 271 Lecture 48 Problem 272 Lecture 49 Soln 272 Lecture 50 Problem 273 Lecture 51 Soln 273 Lecture 52 Problem 274 Lecture 53 Soln 274 Lecture 54 Problem 275 Lecture 55 Soln 275 Lecture 56 Problem 276 Lecture 57 Soln 276 Lecture 58 Problem 277 Lecture 59 Soln 277 Lecture 60 Problem 278 Lecture 61 Soln 278 Lecture 62 Problem 279 Lecture 63 Soln 279 Lecture 64 Problem 280 Lecture 65 Soln 280 Lecture 66 Problem 281 Lecture 67 Soln 281 Lecture 68 Problem 282 Lecture 69 Soln 282 Lecture 70 Problem 283 Lecture 71 Soln 283 Lecture 72 Problem 284 Lecture 73 Soln 284 Lecture 74 Problem 285 Lecture 75 Soln 285 Lecture 76 Problem 286 Lecture 77 Soln 286 Lecture 78 Problem 287 Lecture 79 Soln 287 Lecture 80 Problem 288 Lecture 81 Soln 288 Lecture 82 Problem 289 Lecture 83 Soln 289 Lecture 84 Problem 290 Lecture 85 Soln 290 Section 4: 291-310 Lecture 86 Problem 291 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Lecture 218 Problem 357 Lecture 219 Soln 357 Lecture 220 Problem 358 Lecture 221 Soln 358 Lecture 222 Problem 359 Lecture 223 Soln 359 Lecture 224 Problem 360 Lecture 225 Soln 360 Lecture 226 Problem 361 Lecture 227 Soln 361 Lecture 228 Problem 362 Lecture 229 Soln 362 Lecture 230 Problem 363 Lecture 231 Soln 363 Lecture 232 Problem 364 Lecture 233 Soln 364 Lecture 234 Problem 365 Lecture 235 Soln 365 Lecture 236 Problem 366 Lecture 237 Soln 366 Lecture 238 Problem 367 Lecture 239 Soln 367 Lecture 240 Problem 368 Lecture 241 Soln 368 Lecture 242 Problem 369 Lecture 243 Soln 369 Lecture 244 Problem 370 Lecture 245 Soln 370 Section 8: 371-390 Lecture 246 Problem 371 Lecture 247 Soln 371 Lecture 248 Problem 372 Lecture 249 Soln 372 Lecture 250 Problem 373 Lecture 251 Soln 373 Lecture 252 Problem 374 Lecture 253 Soln 374 Lecture 254 Problem 375 Lecture 255 Soln 375 Lecture 256 Problem 376 Lecture 257 Soln 376 Lecture 258 Problem 377 Lecture 259 Soln 377 Lecture 260 Problem 378 Lecture 261 Soln 378 Lecture 262 Problem 379 Lecture 263 Soln 379 Lecture 264 Problem 380 Lecture 265 Soln 380 Lecture 266 Problem 381 Lecture 267 Soln 381 Lecture 268 Problem 382 Lecture 269 Soln 382 Lecture 270 Problem 383 Lecture 271 Soln 383 Lecture 272 Problem 384 Lecture 273 Soln 384 Lecture 274 Problem 385 Lecture 275 Soln 385 Lecture 276 Problem 386 Lecture 277 Soln 386 Lecture 278 Problem 387 Lecture 279 Soln 387 Lecture 280 Problem 388 Lecture 281 Soln 388 Lecture 282 Problem 389 Lecture 283 Soln 389 Lecture 284 Problem 390 Lecture 285 Soln 390 Section 9: 391-410 Lecture 286 Problem 391 Lecture 287 Soln 391 Lecture 288 Problem 392 Lecture 289 Soln 392 Lecture 290 Problem 393 Lecture 291 Soln 393 Lecture 292 Problem 394 Lecture 293 Soln 394 Lecture 294 Problem 395 Lecture 295 Soln 395 Lecture 296 Problem 396 Lecture 297 Soln 396 Lecture 298 Problem 397 Lecture 299 Soln 397 Lecture 300 Problem 398 Lecture 301 Soln 398 Lecture 302 Problem 399 Lecture 303 Soln 399 Lecture 304 Problem 400 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Problem 422 Lecture 349 Soln 422 Lecture 350 Problem 423 Lecture 351 Soln 423 Lecture 352 Problem 424 Lecture 353 Soln 424 Lecture 354 Problem 425 Lecture 355 Soln 425 Lecture 356 Problem 426 Lecture 357 Soln 426 Lecture 358 Problem 427 Lecture 359 Soln 427 Lecture 360 Problem 428 Lecture 361 Soln 428 Lecture 362 Problem 429 Lecture 363 Soln 429 Lecture 364 Problem 430 Lecture 365 Soln 430 Section 11: 431-450 Lecture 366 Problem 431 Lecture 367 Soln 431 Lecture 368 Problem 432 Lecture 369 Soln 432 Lecture 370 Problem 433 Lecture 371 Soln 433 Lecture 372 Problem 434 Lecture 373 Soln 434 Lecture 374 Problem 435 Lecture 375 Soln 435 Lecture 376 Problem 436 Lecture 377 Soln 436 Lecture 378 Problem 437 Lecture 379 Soln 437 Lecture 380 Problem 438 Lecture 381 Soln 438 Lecture 382 Problem 439 Lecture 383 Soln 439 Lecture 384 Problem 440 Lecture 385 Soln 440 Lecture 386 Problem 441 Lecture 387 Soln 441 Lecture 388 Problem 442 Lecture 389 Soln 442 Lecture 390 Problem 443 Lecture 391 Soln 443 Lecture 392 Problem 444 Lecture 393 Soln 444 Lecture 394 Problem 445 Lecture 395 Soln 445 Lecture 396 Problem 446 Lecture 397 Soln 446 Lecture 398 Problem 447 Lecture 399 Soln 447 Lecture 400 Problem 448 Lecture 401 Soln 448 Lecture 402 Problem 449 Lecture 403 Soln 449 Lecture 404 Problem 450 Lecture 405 Soln 450 Section 12: 451-470 Lecture 406 Problem 451 Lecture 407 Soln 451 Lecture 408 Problem 452 Lecture 409 Soln 452 Lecture 410 Problem 453 Lecture 411 Soln 453 Lecture 412 Problem 454 Lecture 413 Soln 454 Lecture 414 Problem 455 Lecture 415 Soln 455 Lecture 416 Problem 456 Lecture 417 Soln 456 Lecture 418 Problem 457 Lecture 419 Soln 457 Lecture 420 Problem 458 Lecture 421 Soln 458 Lecture 422 Problem 459 Lecture 423 Soln 459 Lecture 424 Problem 460 Lecture 425 Soln 460 Lecture 426 Problem 461 Lecture 427 Soln 461 Lecture 428 Problem 462 Lecture 429 Soln 462 Lecture 430 Problem 463 Lecture 431 Soln 463 Lecture 432 Problem 464 Lecture 433 Soln 464 Lecture 434 Problem 465 Lecture 435 Soln 465 Lecture 436 Problem 466 Lecture 437 Soln 466 Lecture 438 Problem 467 Lecture 439 Soln 467 Lecture 440 Problem 468 Lecture 441 Soln 468 Lecture 442 Problem 469 Lecture 443 Soln 469 Lecture 444 Problem 470 Lecture 445 Soln 470 Section 13: 471-490 Lecture 446 Problem 471 Lecture 447 Soln 471 Lecture 448 Problem 472 Lecture 449 Soln 472 Lecture 450 Problem 473 Lecture 451 Soln 473 Lecture 452 Problem 474 Lecture 453 Soln 474 Lecture 454 Problem 475 Lecture 455 Soln 475 Lecture 456 Problem 476 Lecture 457 Soln 476 Lecture 458 Problem 477 Lecture 459 Soln 477 Lecture 460 Problem 478 Lecture 461 Soln 478 Lecture 462 Problem 479 Lecture 463 Soln 479 Lecture 464 Problem 480 Lecture 465 Soln 480 Lecture 466 Problem 481 Lecture 467 Soln 481 Lecture 468 Problem 482 Lecture 469 Soln 482 Lecture 470 Problem 483 Lecture 471 Soln 483 Lecture 472 Problem 484 Lecture 473 Soln 484 Lecture 474 Problem 485 Lecture 475 Soln 485 Lecture 476 Problem 486 Lecture 477 Soln 486 Lecture 478 Problem 487 Lecture 479 Soln 487 Lecture 480 Problem 488 Lecture 481 Soln 488 Lecture 482 Problem 489 Lecture 483 Soln 489 Lecture 484 Problem 490 Lecture 485 Soln 490 Section 14: 491-500 Lecture 486 Problem 491 Lecture 487 Soln 491 Lecture 488 Problem 492 Lecture 489 Soln 492 Lecture 490 Problem 494 Lecture 491 Soln 494 Lecture 492 Problem 495 Lecture 493 Soln 495 Lecture 494 Problem 496 Lecture 495 Soln 496 Lecture 496 Problem 497 Lecture 497 Soln 497 Lecture 498 Problem 498 Lecture 499 Soln 498 Lecture 500 Problem 499 Lecture 501 Soln 499 Lecture 502 Problem 500 Lecture 503 Soln 500 Aspiring Data Scientists: Those looking to build a strong foundation in R programming while solving real-world data science problems.,Students and Academics: Learners studying data science or related fields who want hands-on practice with R and its various libraries and datasets.,Professionals in Data-Driven Roles: Individuals working in fields like business analytics, finance, healthcare, or marketing who want to enhance their data analysis skills using R.,Self-Learners and Coding Enthusiasts: Those passionate about learning R programming through practical exercises and improving their coding proficiency in data science projects. 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Free Download Python Programming - The Complete Course For Success Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.11 GB | Duration: 4h 53m Become a Python Expert: Comprehensive Course Covering Fundamentals, Advanced Techniques & Practical Success Strategies What you'll learn Overview of algorithms and their applications Basic Python programming refresher Operations on lists and tuples Use cases and applications Applications of stacks (e.g., backtracking, browser history) Introduction to queues and types (FIFO, priority queues) Implementing linked lists in Python Binary trees, binary search trees, AVL trees Basics of graph theory and types of graphs Applications of hash tables Bubble sort, selection sort, insertion sort Merge sort, quicksort, heap sort Implementing linear and binary search algorithms Principles of dynamic programming Heaps, tries, and segment trees Implementing and using advanced data structures Requirements No prior programming experience is required. Description Unlock your full potential with Python Programming: The Complete Course for Success! Whether you're a beginner or looking to sharpen your skills, this comprehensive course will guide you through the fundamentals of Python, one of the most popular and versatile programming languages. Learn to write clean, efficient code from scratch and build practical projects that reinforce your knowledge.What You'll Learn:Python fundamentals: variables, data types, loops, and functionsObject-Oriented Programming (OOP) conceptsHow to work with libraries like NumPy, Pandas, and MatplotlibWeb scraping, data analysis, and automation techniquesBest practices for debugging, testing, and writing efficient codeWhy This Course?This course is designed with real-world applications in mind. You'll not only master Python syntax but also learn how to apply it in real-life scenarios like web development, data analysis, and automation. With hands-on exercises and interactive coding challenges, you'll gain the confidence to tackle complex projects and prepare for your career in tech.Step-by-step lessons, practical examples, and engaging challenges ensure you stay motivated throughout the learning process. By the end of this course, you'll have a deep understanding of Python and the ability to solve problems with creativity and efficiency.Start your journey to success in Python programming today! Overview Section 1: Module 1: Introduction to Data Structures and Algorithms Lecture 1 Definition and importance of data structures Lecture 2 Overview of algorithms and their applications Lecture 3 Basic Python programming refresher Section 2: Module 2: Basic Data Structures in Python Lecture 4 Operations on lists and tuples Lecture 5 Use cases and applications Lecture 6 Understanding stack data structure Lecture 7 Implementing stacks using lists Lecture 8 Applications of stacks (e.g., backtracking, browser history) Lecture 9 Introduction to queues and types (FIFO, priority queues) Lecture 10 Implementing queues using lists and deque Section 3: Module 3: Advanced Data Structures Lecture 11 Implementing linked lists in Python Lecture 12 Use cases and applications of linked lists Lecture 13 Binary trees, binary search trees, AVL trees Lecture 14 Tree traversal techniques (in-order, pre-order, post-order) Lecture 15 Basics of graph theory and types of graphs Lecture 16 Graph traversal algorithms (BFS, DFS) Lecture 17 Understanding hash functions and hash tables Lecture 18 Applications of hash tables (e.g., caching, indexing) Section 4: Module 4: Algorithmic Techniques and Sorting Algorithms Lecture 19 Divide and conquer, greedy algorithms, dynamic programming Lecture 20 Bubble sort, selection sort, insertion sort Lecture 21 Merge sort, quicksort, heap sort Lecture 22 Comparing the efficiency of different sorting algorithms Section 5: Module 5: Searching Algorithms Lecture 23 Implementing linear and binary search algorithms Lecture 24 Understanding algorithm efficiency and use cases Lecture 25 Dijkstra's algorithm for shortest paths Section 6: Module 6: Recursion and Dynamic Programming Lecture 26 Principles of dynamic programming Section 7: Module 7: Advanced Topics and Optimization Techniques Lecture 27 Heaps, tries, and segment trees Lecture 28 Techniques to optimize algorithms for better performance Lecture 29 Memory and space optimization strategies Anyone interested in Python Programming Complete Course for Success,Anyone interested in automating tasks or diving into data analysis Homepage https://www.udemy.com/course/python-programming-the-complete-course-for-success/ Rapidgator https://rg.to/file/260571ddc45d26052dff1585c04ec16b/psqch.Python.Programming.The.Complete.Course.For.Success.part1.rar.html https://rg.to/file/8212e4aedefc32c4541573365900d5a4/psqch.Python.Programming.The.Complete.Course.For.Success.part2.rar.html Fikper Free Download https://fikper.com/bIkmGvnOtA/psqch.Python.Programming.The.Complete.Course.For.Success.part1.rar.html https://fikper.com/fCINRGMW9x/psqch.Python.Programming.The.Complete.Course.For.Success.part2.rar.html No Password - Links are Interchangeable

Free Download Java & Python Programming Mastery - Learn To Code Like A Pro Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 653.27 MB | Duration: 3h 7m Master Java and Python programming from the ground up and gain the skills to build real world applications like a pro. What you'll learn Understanding Java & Python Syntax Comments Data Type Variables Operators Booleans If...Else For Loop While Loop Arrays Strings Constants Requirements No Programming Experience Needed Description Ready to elevate your programming skills and unlock new career opportunities? Welcome to "Java & Python Programming Mastery: Learn to Code Like a Pro," the ultimate Udemy course designed to turn you into a proficient coder in two of the most influential programming languages: Java and Python.This course begins by laying a strong foundation in programming fundamentals. You will start with Python, learning the essentials such as syntax, data types, and control structures. As you advance, you'll explore advanced topics like file handling, object-oriented programming, and modules. Python's versatility will be showcased through practical applications such as web scraping, data analysis, and automation scripts.Java Fundamentals:Core concepts: Grasp the basics of Java, including variables, data types, operators, and control flow.Object-oriented programming (OOP): Master OOP principles like inheritance, polymorphism, and encapsulation.Exception handling: Learn to handle errors gracefully and prevent crashes.Collections framework: Utilize collections like ArrayLists, HashMaps, and Sets to efficiently store and manipulate data.JavaFX: Create visually appealing and interactive user interfaces.Python Fundamentals:Syntax and structure: Understand Python's clean and readable syntax.Data structures: Work with lists, tuples, dictionaries, and sets.Functions and modules: Build reusable code and organize your projects effectively.File I/O: Learn to read, write, and manipulate files.Regular expressions: Use regular expressions to search and manipulate text patterns.Advanced Topics:Multithreading: Create concurrent programs to improve performance.Networking: Develop network applications using sockets and HTTP.Database integration: Connect to databases like MySQL and PostgreSQL.Web development: Build web applications using frameworks like Spring Boot (Java) and Django (Python).Data analysis: Explore data analysis techniques using libraries like NumPy and Pandas.Key benefits of this course:Cover a wide range of topics, from fundamentals to advanced concepts.Apply your knowledge through practical exercises and real-world projects.Learn from experienced instructors with industry expertise.Access the course materials at your own pace and convenience.In addition to coding, the course covers best practices in software development, including debugging techniques, version control with Git, and writing clean, maintainable code. You'll also gain insights into the latest trends and tools in the programming world, ensuring your skills remain relevant and cutting-edge.Whether you're aiming to advance your career, switch fields, or start a new project, this course provides the comprehensive training you need to excel in both Java and Python. Join today and unlock the full potential of programming with two of the most sought-after languages in the industry. Overview Section 1: Started with Java Lecture 1 Syntax Lecture 2 Comments Lecture 3 Data Type Lecture 4 Variables Lecture 5 Operators Lecture 6 Booleans Lecture 7 If...Else Lecture 8 For Loop Lecture 9 While Loop Lecture 10 Arrays Lecture 11 Strings Lecture 12 Constants Section 2: Started with Python Lecture 13 Syntax Lecture 14 Comments Lecture 15 Data Type Lecture 16 Variables Lecture 17 Operators Lecture 18 Booleans Lecture 19 If...Else Lecture 20 For Loop Lecture 21 While Loop Lecture 22 Arrays Lecture 23 Strings Lecture 24 Constants Anyone looking to build the Java and Python programming skills.,People interested in programming who have no prior programming experience Homepage https://www.udemy.com/course/java-python-programming-mastery-learn-to-code-like-a-pro/ Rapidgator https://rg.to/file/453be6e6d8c798c459e6fbe5b48a5d0c/egmsk.Java..Python.Programming.Mastery.Learn.To.Code.Like.A.Pro.rar.html Fikper Free Download https://fikper.com/Ifw7ezJnQC/egmsk.Java..Python.Programming.Mastery.Learn.To.Code.Like.A.Pro.rar.html No Password - Links are Interchangeable

Free Download Complete Java Programming Bootcamp - Learn To Code In Java Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.31 GB | Duration: 4h 30m Become a Java Developer: Learn Core Concepts, Object-Oriented Programming, and Advanced Techniques in One Course What you'll learn Features and benefits of Java Writing and running your first Java program Understanding Java syntax and structure Declaring and initializing variables Arithmetic, relational, logical, and bitwise operators Looping constructs (for, while, do-while) Conditional statements (if, else, switch) Understanding classes and objects Constructors, methods, and access modifiers Abstract classes and methods Sorting, searching, and iterating through collections Lambda expressions and functional interfaces Reading and writing files using Java I/O File handling and management Handling events in Swing Connecting to databases using JDBC Performing CRUD operations with JDBC Requirements No prior programming experience is required. Description Unlock the power of Java with our Complete Java Programming Bootcamp! Whether you're an absolute beginner or an aspiring software developer, this comprehensive course will equip you with the skills needed to code confidently in one of the world's most versatile programming languages.Throughout this course, you'll learn the fundamentals of Java, including object-oriented programming (OOP), data structures, algorithms, and more. We'll cover everything from basic syntax to advanced concepts such as multithreading, exception handling, and file handling. 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Overview Section 1: Module 1: Introduction to Java Programming Lecture 1 Writing and running your first Java program Lecture 2 Understanding Java syntax and structure Section 2: Module 2: Core Java Concepts Lecture 3 Java data types (primitive and non-primitive) Lecture 4 Declaring and initializing variables Lecture 5 Arithmetic, relational, logical, and bitwise operators Lecture 6 Conditional statements (if, else, switch) Lecture 7 Looping constructs (for, while, do-while) Section 3: Module 3: Object-Oriented Programming (OOP) in Java Lecture 8 Understanding classes and objects Lecture 9 Principles of OOP (Encapsulation, Inheritance, Polymorphism, Abstraction) Lecture 10 Creating and using classes and objects Lecture 11 Constructors, methods, and access modifiers Lecture 12 Data hiding and encapsulation Lecture 13 Abstract classes and methods Section 4: Module 4: Advanced Java Programming Concepts Lecture 14 Custom exceptions and exception propagation Lecture 15 Working with lists, sets, maps, and queues Lecture 16 Sorting, searching, and iterating through collections Lecture 17 Lambda expressions and functional interfaces Section 5: Module 5: Working with Files and I/O in Java Lecture 18 Reading and writing files using Java I/O Lecture 19 File handling and management Lecture 20 Understanding object serialization Lecture 21 Use cases of serialization and deserialization Section 6: Module 6: Multithreading and Concurrency Lecture 22 Understanding threads and concurrency Lecture 23 Creating and managing threads in Java Lecture 24 Synchronization techniques Lecture 25 Deadlock, race conditions, and thread safety Section 7: Module 7: Java GUI Programming with Swing Lecture 26 Building a simple GUI application Lecture 27 Handling events in Swing Lecture 28 Layout managers and designing user interfaces Section 8: Module 8: Database Connectivity with Java Lecture 29 Connecting to databases using JDBC Lecture 30 Performing CRUD operations with JDBC Lecture 31 Handling database exceptions Anyone interested to start their career as a Java Developer. 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Free Download Python Excel (Openpyxl) Programming With Coding Exercises Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 365.78 MB | Duration: 2h 46m Automate Excel Tasks and Enhance Data Handling with Python's openpyxl What you'll learn How to use the openpyxl library to automate Excel tasks efficiently. Techniques for creating, modifying, and formatting Excel files with Python. Methods for automating data entry, calculations, and report generation. Practical skills in handling complex Excel functions and integrating them with Python. Requirements Basic understanding of Python programming. Familiarity with Excel and its basic functionalities. Description In today's data-driven world, the ability to efficiently handle and manipulate Excel files is crucial for professionals across various industries. Python Excel (openpyxl) Programming with Coding Exercises is a comprehensive course designed to teach you how to harness the power of Python's openpyxl library to automate Excel tasks and streamline data processing workflows. Whether you're a data analyst, financial professional, or a programmer, this course will equip you with the skills needed to automate repetitive tasks, handle large datasets, and generate reports dynamically.The need for this course arises from the widespread use of Excel in business environments and the growing demand for automation to save time and reduce errors. While Excel is a powerful tool, performing repetitive tasks manually can be time-consuming and prone to mistakes. By leveraging Python with openpyxl, you can automate processes such as data entry, report generation, and complex calculations, freeing up time for more strategic work.Throughout the course, you'll engage in hands-on coding exercises covering essential topics, including:Introduction to the openpyxl library and its functionalitiesCreating and manipulating Excel workbooks, sheets, and cellsAutomating data entry and calculationsFormatting Excel sheets, including styling cells, rows, and columnsHandling complex Excel functions and formulas with PythonReading and writing data from/to Excel filesGenerating dynamic reports with Python automationEach exercise is designed to build your proficiency in Python and Excel integration, preparing you to tackle real-world challenges with confidence.Instructor Introduction: Your instructor, Faisal Zamir, is a seasoned Python developer with over 7 years of teaching experience. Faisal's deep understanding of Python programming and his practical approach to teaching ensure that you'll gain valuable skills that are immediately applicable in your professional work.30 Days Money-Back Guarantee: We are confident in the value this course provides, which is why we offer a 30-day money-back guarantee. If you're not completely satisfied, you can request a full refund-no questions asked.Certificate at the End of the Course: Upon completing the course, you'll receive a certificate that validates your expertise in Python and Excel automation, making it a valuable addition to your professional credentials. 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