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Free Download [Ai] Build A Object Recognition App With Python & Angular Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.64 GB | Duration: 3h 1m Develop AI-driven web apps using FastAPI and Angular. Learn Machine Learning with Python for developers. What you'll learn AI and Machine Learning Fundamentals with hands on Basic Programming in Python and Typescript Handle frameworks like FastAPI and Angular Build real world modern object recognition application Requirements No programming experience required. Only computer and access to internet Description [AI] Create a Object Recognition Web App with Python & AngularBuild AI-driven web apps with FastAPI and Angular. Discover Machine Learning with Python for developers.This comprehensive course, "[AI] Create a Object Recognition Web App with Python & Angular," is designed to empower developers with the skills to build cutting-edge AI-powered applications. By combining the power of FastAPI, TensorFlow, and Angular, students will learn to create a full-stack object recognition web app that showcases the potential of machine learning in modern web development.Throughout this hands-on course, parti[beeep]nts will dive deep into both backend and frontend technologies, with a primary focus on Python for AI and backend development, and TypeScript for frontend implementation. The course begins by introducing students to the fundamentals of machine learning and computer vision, providing a solid foundation in AI concepts essential for object recognition tasks.***DISCLAIMER*** This course is part of a 3 applications series where we build the same app with different technologies including Angular, React and a cross platform Mobile App with React Native CLI. Please choose the frontend framework that fits you best.Students will then explore the FastAPI framework, learning how to create efficient and scalable REST APIs that serve as the backbone of the application. This section will cover topics such as request handling, data validation, and asynchronous programming in Python, ensuring that the backend can handle the demands of real-time object recognition processing.The heart of the course lies in its machine learning component, where students will work extensively with TensorFlow to build and train custom object recognition models. Parti[beeep]nts will learn how to prepare datasets, design neural network architectures, and fine-tune pre-trained models for optimal performance. The course will also cover essential topics such as data augmentation, transfer learning, and model evaluation techniques.On the frontend, students will utilize Angular and TypeScript to create a dynamic and responsive user interface. This section will focus on building reusable components, managing application state with services and observables, and implementing real-time updates to display object recognition results. Parti[beeep]nts will also learn how to leverage Angular's powerful features such as dependency injection, routing, and reactive forms to create a robust and scalable frontend application.Throughout the course, emphasis will be placed on best practices in software development, including code organization and project structure. Students will explore Angular's modular architecture and learn how to effectively organize their application into feature modules and shared modules. They will also gain insights into deploying AI-powered web applications, considering factors such as model serving, scalability, and performance optimization.By the end of the course, parti[beeep]nts will have created a fully functional object recognition web app, gaining practical experience in combining AI technologies with modern web development frameworks. This project-based approach ensures that students not only understand the theoretical concepts but also acquire the hands-on skills necessary to build sophisticated AI-driven applications in real-world scenarios.Whether you're a seasoned developer looking to expand your skill set or an AI enthusiast eager to bring machine learning models to life on the web, this course provides the perfect blend of theory and practice to help you achieve your goals in the exciting field of AI-powered web development using Angular and Python.Cover designed by FreePik Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 AI, Machine Learning and Deep Learning Lecture 3 Convulent Neural Networks (CNNs) Lecture 4 Installing VSCode Lecture 5 VSCode Extensions Lecture 6 Best way to take advantage of this course Section 2: FastAPI and Python Setup Lecture 7 What is Python and FastAPI? Lecture 8 Installing Python for MacOS Lecture 9 Installing Python for Windows Lecture 10 Installing and running FastAPI Lecture 11 Another Example Route Lecture 12 Running the server with Uvicorn Lecture 13 Installing packages using requirements.txt Section 3: Angular Application Setup Lecture 14 What is Angular and Typescript? Lecture 15 Angular CLI and creating first app Lecture 16 Creating ImageControl Component Lecture 17 First Template and Conditions Lecture 18 Inputs and Continuing Template Section 4: Creating and Setting Prediction Model Lecture 19 Explaining TensorFlow, SSDMobileNet V2 and Coco Dataset Lecture 20 Adding MobileNetV2 SSD and COCO Model DataSet Lecture 21 Loading PreTrained Model Into App Lecture 22 Run Inference Function Lecture 23 Predict Route Lecture 24 Label_Map Lecture 25 Returning Results from Predict Route Lecture 26 Testing our Route Section 5: Adding Server Data to Frontend Lecture 27 Creating Angular Service Lecture 28 Prediction Type Lecture 29 Upload Image Function in Service Lecture 30 Importing Service into Component Lecture 31 Finalizing Template Lecture 32 Provide HTTPClient Lecture 33 OnFile Selected Lecture 34 UploadImage Function Lecture 35 API Key Lecture 36 Handling Image Upload and Errors Lecture 37 Adding UploadImage to Template and NetworkError Lecture 38 Allow CORS Lecture 39 Testing the Results Section 6: Additional Lectures Lecture 40 Splitting into smaller components Lecture 41 Angular Inputs Lecture 42 Prediction Errors and Mistakes Lecture 43 Use cases and Limitations Section 7: Bonus Lecture 44 Bonus Beginner Python, Frontend and AI developers. 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Free Download [AI] Create a Object Recognition Web App with Python & React Published 10/2024 Created by Alex Softman MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 40 Lectures ( 2h 58m ) | Size: 1.47 GB Build AI-driven web apps with FastAPI and React. Discover Machine Learning with Python for developers. What you'll learn AI and Machine Learning Fundamentals with hands on Basic Programming in Python and Typescript Handle frameworks like FastAPI and React Build real world modern object recognition application Requirements No programming experience required. Only computer and access to internet Description [AI] Create a Object Recognition Web App with Python & ReactBuild AI-driven web apps with FastAPI and React. Discover Machine Learning with Python for developers.This comprehensive course, "[AI] Create a Object Recognition Web App with Python & React," is designed to empower developers with the skills to build cutting-edge AI-powered applications. By combining the power of FastAPI, TensorFlow, and React, students will learn to create a full-stack object recognition web app that showcases the potential of machine learning in modern web development.Throughout this hands-on course, parti[beeep]nts will dive deep into both backend and frontend technologies, with a primary focus on Python for AI and backend development, and TypeScript for frontend implementation. The course begins by introducing students to the fundamentals of machine learning and computer vision, providing a solid foundation in AI concepts essential for object recognition tasks.Students will then explore the FastAPI framework, learning how to create efficient and scalable REST APIs that serve as the backbone of the application. This section will cover topics such as request handling, data validation, and asynchronous programming in Python, ensuring that the backend can handle the demands of real-time object recognition processing.The heart of the course lies in its machine learning component, where students will work extensively with TensorFlow to build and train custom object recognition models. Parti[beeep]nts will learn how to prepare datasets, design neural network architectures, and fine-tune pre-trained models for optimal performance. The course will also cover essential topics such as data augmentation, transfer learning, and model evaluation techniques.On the frontend, students will utilize React and TypeScript to create a dynamic and responsive user interface. This section will focus on building reusable components, managing application state, and implementing real-time updates to display object recognition results. Parti[beeep]nts will also learn how to integrate the frontend with the FastAPI backend, ensuring seamless communication between the two layers of the application.Throughout the course, emphasis will be placed on best practices in software development, including code organization and project structure. Students will also gain insights into deploying AI-powered web applications, considering factors such as model serving, scalability, and performance optimization.By the end of the course, parti[beeep]nts will have created a fully functional object recognition web app, gaining practical experience in combining AI technologies with modern web development frameworks. This project-based approach ensures that students not only understand the theoretical concepts but also acquire the hands-on skills necessary to build sophisticated AI-driven applications in real-world scenarios.Whether you're a seasoned developer looking to expand your skill set or an AI enthusiast eager to bring machine learning models to life on the web, this course provides the perfect blend of theory and practice to help you achieve your goals in the exciting field of AI-powered web development.***DISCLAIMER*** This course is part of a 3 applications series where we build the same app with different technologies including Angular, React and a cross platform Mobile App with React Native CLI. Please choose the frontend framework that fits you best.Cover designed by FreePik Who this course is for Beginner Python, Frontend and AI developers. Students with interest in how AI works Homepage https://www.udemy.com/course/create-a-object-recognition-web-app-with-python-react/ Screenshot Rapidgator https://rg.to/file/50ba8a6d87416e2990ee484c2c116998/jiewf.AI.Create.a.Object.Recognition.Web.App.with.Python..React.part2.rar.html https://rg.to/file/8a1525e0b99a894f56db5dc498e72431/jiewf.AI.Create.a.Object.Recognition.Web.App.with.Python..React.part1.rar.html Fikper Free Download https://fikper.com/ei5AIAv0To/jiewf.AI.Create.a.Object.Recognition.Web.App.with.Python..React.part1.rar.html https://fikper.com/f9X49Tba1k/jiewf.AI.Create.a.Object.Recognition.Web.App.with.Python..React.part2.rar.html No Password - Links are Interchangeable

Free Download YOLO11 - Custom Object Detection & Web Apps in Python 2024 Published 10/2024 Created by Muhammad Moin MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 10 Lectures ( 5h 28m ) | Size: 5.55 GB Learn Custom Object Detection, Tracking and Pose Estimation with YOLO11, and Build Web Apps with Flask and Streamlit What you'll learn Object Detection, Instance Segmentation, Pose Estimation and Image Classification using YOLO11 Training / Fine-Tuning YOLO11 Models on Custom Dataset Multi-Object Tracking with Ultralytics YOLO Develop Streamlit Application for Object Detection with YOLO11. Object Detection in the Browser using YOLO11 and Flask Requirements Mac / Windows / Linux - all operating systems work with this course! Description YOLO11 is the latest state-of-the-art object detection model from Ultralytics, surpassing previous versions in both speed and accuracy. Built upon the advancements of earlier YOLO models, YOLO11 introduces significant improvements in architecture and training, making it a versatile tool for various computer vision tasks.YOLO11 models support a wide range of tasks, including object detection, instance segmentation, image classification, pose estimation, and oriented object detection (OBB).In this course, you will learn:What's New in Ultralytics YOLO11.How to use Ultralytics YOLO11 for Object Detection, Instance Segmentation, Pose Estimation, and Image Classification.Running Object Detection, Instance Segmentation Pose Estimation and Image Classification with YOLO11 on Windows/Linux.Evaluating YOLO11 Model Performance: Testing and AnalysisTraining a YOLO11 Object Detection Model on a Custom Dataset in Google Colab for Personal Protective Equipment (PPE) Detection. Step-by-Step Guide: YOLO11 Object Detection on Custom Datasets on Windows/Linux.Training YOLO11 Instance Segmentation on Custom Datasets for Pothole Detection.Fine-Tuning YOLO11 Pose Estimation for Human Activity Recognition.Fine-Tuning YOLO11 Image Classification for Plant Classification.Multi-Object Tracking with Bot-SORT and ByteTrack Algorithms.License Plate Detection & Recognition using YOLO11 and EasyOCR.Integrating YOLO11 with Flask to Build a Web App.Creating a Streamlit Web App for Object Detection with YOLO11. Who this course is for Anyone who is interested in Computer Vision Anyone who study Computer Vision and want to know how to use YOLO11 for Object Detection, Instance Segmentation, Pose Estimation and Image Classification Anyone who aims to build Deep learning Apps with Computer Vision Homepage https://www.udemy.com/course/yolo11-custom-object-detection-web-apps-in-python-2024/ Screenshot Rapidgator https://rg.to/file/3348e9834520199e318fc6646ee4b69e/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part6.rar.html https://rg.to/file/5878e6ffbfdf62eadb092d0ff9bba3fc/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part4.rar.html https://rg.to/file/a1d78d8f677fe96aa0bb0b56f0be25d0/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part1.rar.html https://rg.to/file/a5050dfb6786f094187ce6ce4f9edf39/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part2.rar.html https://rg.to/file/d661f23261a71a913c134663fce8e4ee/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part5.rar.html https://rg.to/file/e312cef65aacba78ca3eb9d9a07c9af4/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part3.rar.html Fikper Free Download https://fikper.com/H2vX0bkj6C/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part2.rar.html https://fikper.com/TcAj6lNgFR/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part3.rar.html https://fikper.com/WOeP4ThHnV/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part4.rar.html https://fikper.com/jgIhlSSdul/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part1.rar.html https://fikper.com/uoFCWt9La2/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part6.rar.html https://fikper.com/xFBQanVE8q/pgzwh.YOLO11.Custom.Object.Detection..Web.Apps.in.Python.2024.part5.rar.html No Password - Links are Interchangeable

Free Download Core Python 3 - Classes and Object-orientation Duration: 2h 55m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 32kHz, 2ch | Size: 398 MB Genre: eLearning | Language: English Classes and objects are central to how Python works. This course will deepen your knowledge of object-oriented programming in Python, expanding on concepts you're familiar with and introducing new tools that will broaden you Python design palette. Classes are crucial tool in Python for organizing data and behavior. In this course, Core Python 3: Classes and Object-orientation, you'll learn how to apply fundamental principles of Object-Oriented Programming (OOP) in Python. First, you'll learn how to distinguish between classes and instances, and define attributes on both. Next, you'll explore properties using them to encapsulate state. Finally, you'll discover how to combine classes using inheritance and multiple inheritance, and have these classes collaborate in ways which are distinctive to the Python language. When you're finished with this course, the will have the skills and knowledge of the core Python language needed to develop larger and robust software systems. Homepage https://www.pluralsight.com/courses/core-python-classes-object-orientation Rapidgator https://rg.to/file/e20396c9a9d603f0c69af69905444ce4/rjnxy.Core.Python.3.Classes.and.Objectorientation.rar.html Fikper Free Download https://fikper.com/KpUNmmDmZf/rjnxy.Core.Python.3.Classes.and.Objectorientation.rar.html No Password - Links are Interchangeable

Free Download Applied Computer Vision Object Detection and Recognition Published 10/2024 Created by Vahid Mirjalili, PhD,Taban Eslami MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 44 Lectures ( 2h 14m ) | Size: 853 MB Object Recognition From Basics to Advanced Techniques What you'll learnUnderstand the fundamentals of image recognition, including image classification, object detection, and image segmentation (semantic, instance, and panoptic)) Master the underlying theories and principles of key computer vision models, enabling a deep understanding of their functionality and applications Master PyTorch fundamentals, learn how to build a CNN model, and your custom image dataset Implement advanced image recognition models and train them in PyTorch RequirementsPython Programming Experience: Familiarity with programming, particularly in Python, as it's the primary language used with PyTorch. Students should be comfortable with basic programming concepts and structures. Understanding of Basic Machine Learning Concepts: A foundational knowledge of machine learning principles, including what models are, how they are trained, and a basic understanding of concepts like classification, regression, overfitting, and underfitting. Introductory Knowledge of Deep Learning: Familiarity with the basic concepts of neural networks, including what they are and how they are generally structured and trained. DescriptionComputer Vision and Object RecognitionThis course provides a comprehensive journey into computer vision and object recognition, guiding you from the foundational concepts to advanced model implementation and evaluation. Through a hands-on approach, you will explore key computer vision tasks such as image classification, object detection, semantic segmentation, and instance segmentation. The course uses popular datasets like COCO-2017 and CamVid, and frameworks such as PyTorch and FiftyOne to enhance your practical skills.Section 1: Introduction We begin with an overview of the course and object recognition, followed by setting up the necessary environment for efficient implementation.Section 2: Recap of Convolutional Neural Networks (CNNs) This section refreshes your knowledge of CNNs and introduces essential tools like FiftyOne for dataset management, along with tutorials to get familiar with PyTorch.Section 3: Image Classification You will learn to build and train a multi-class image classifier using the COCO-2017 dataset, focusing on classes like cats, dogs, and horses. The classifier is built using a pre-trained ResNet model, demonstrating the process of transfer learning and hyperparameter tuning.Section 4: Object Detection We delve into object detection using two popular models, Faster-RCNN and YOLOv8. You'll prepare datasets, train both models, and analyze their performance using FiftyOne, gaining hands-on experience with both region-based and single-shot detection methods.Section 5: Semantic Segmentation In this section, you will work with the CamVid dataset to understand semantic segmentation, which involves assigning a class to every pixel in an image. Using the segmentation_models_pytorchlibrary, you will train and evaluate a segmentation model to recognize objects in scenes.Section 6: Instance Segmentation We cover instance segmentation, where the goal is to differentiate between multiple instances of the same object class. You'll build and train a Mask-RCNN model for this task, working with segmentation annotations from the COCO-2017 dataset.Throughout the course, we place a strong emphasis on hands-on exercises, real-world datasets, and model evaluation to equip you with the skills needed to tackle practical computer vision challenges. By the end, you will be well-prepared to implement and evaluate various computer vision models, with a solid understanding of the nuances involved in different tasks like classification, detection, and segmentation. Who this course is forStudents and Learners in Computer Science: Undergraduate or graduate students who are majoring in computer science, data science, artificial intelligence, or related fields and want to gain practical skills in image recognition using PyTorch. Aspiring Data Scientists and Machine Learning Engineers: Individuals looking to enter the field of data science or machine learning with a specific interest in image processing and recognition techniques. AI and Machine Learning Enthusiasts: Individuals who have a keen interest in artificial intelligence and machine learning and want to deepen their understanding of image recognition. Tech Entrepreneurs: Entrepreneurs or innovators looking to understand image recognition to implement or improve product offerings, particularly in tech-driven markets. Homepage https://www.udemy.com/course/applied-computer-vision/ Rapidgator https://rg.to/file/46055b26242e55dd14d3d3bebc61a186/cqinv.Applied.Computer.Vision.Object.Detection.and.Recognition.rar.html Fikper Free Download https://fikper.com/6THTR8RTbL/cqinv.Applied.Computer.Vision.Object.Detection.and.Recognition.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 Mastering SOLID Principles of Object Oriented Design (C#) Published 9/2024 Created by Rahul Rajat Singh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 19 Lectures ( 2h 7m ) | Size: 764 MB Master SOLID principles using C#. Learn to write maintainable, scalable, and robust code through practical examples. What you'll learn: Understand and effectively apply the five SOLID principles (SRP, OCP, LSP, ISP, DIP) in your software design to create clean, maintainable, and scalable code. Learn techniques to refactor and improve existing codebases, ensuring better readability, reduced technical debt, and easier maintenance. Develop skills to design software systems that can adapt to changing requirements with minimal impact, promoting long-term project success. Create modular and reusable code components, allowing for efficient development and integration across different projects and systems. Requirements: Basic Programming Knowledge Experience with Object-Oriented Programming (OOP) Understanding of Basic Software Development Concepts Description: Unlock the full potential of your C# programming skills with our comprehensive course on mastering SOLID principles. SOLID is an acronym for five foundational principles of object-oriented design that ensure your code is maintainable, scalable, and robust. These principles include Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion.Throughout this course, you'll dive deep into each of these principles with detailed explanations and practical examples tailored for C# developers. You'll learn to identify and address common design issues, transforming your approach to software development. Through hands-on exercises, you'll gain the skills to apply these principles effectively in real-world projects, enhancing your ability to write clean, efficient, and adaptable code.This course is designed for developers at all levels, from beginners to seasoned professionals. If you're new to object-oriented programming, you'll gain a strong foundation in SOLID principles, setting you up for success in your programming career. Experienced developers will benefit from a deeper understanding and refinement of their coding practices, leading to more efficient and reliable software.By the end of this course, you'll have a solid grasp of how to implement SOLID principles in your C# projects, leading to better software development practices. Join us and elevate your coding proficiency, ensuring your applications are robust, flexible, and easy to maintain. Embrace the power of SOLID principles and revolutionize your software design with this essential course. Who this course is for: Aspiring Software Developers Experienced Developers Seeking to Improve Design Skills Students in Computer Science or Software Engineering Software Architects and Team Leads Homepage https://www.udemy.com/course/mastering-solid-principles-of-object-oriented-design-c/ Rapidgator https://rg.to/file/5b758eec87f402ff8a65d1122bda8ee3/kkotp.Mastering.SOLID.Principles.of.Object.Oriented.Design.C.rar.html Fikper Free Download https://fikper.com/dRJNStEGuZ/kkotp.Mastering.SOLID.Principles.of.Object.Oriented.Design.C.rar.html No Password - Links are Interchangeable

Free Download Master Object Oriented Design in Java - Homework + Solutions Last updated 3/2024 Duration: 5h46m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 2.64 GB Genre: eLearning | Language: English Don't just learn Java! Learn to write practical industry standard object oriented software and super charge your career! What you'll learn Advance your programming skills from a junior level newbie to a competent intermediate level object oriented software developer Design and develop software using best practices in Object oriented programming Apply the 5 crucial object oriented design principles using Java Apply design patterns such as Strategy, Observer, Template Method, Factory, and Builder Make the leap into professional software craftsmanship and take your career to the next level! Requirements You should have a java editor installed. We'll be using Eclipse. Install Jdk from oracle website Understand the basics of loops and conditionals. Description LAST UPDATED: June 2023 (Added a comprehensive OOP HW Project) SUPER CHARGE OF YOUR PROGRAMMING CAREER and acquire some seriously marketable skills! Just because you learned how to use a hammer doesn't mean you are ready to construct a building. Similarly, It's not enough to just understand a programming language. That's just a tool that can be used to develop various programs. The real craftsmanship is in software DESIGN . This course is designed to take a junior level programmer with limited knowledge about object orientation to a competent level object oriented software designer! I expect you to understand the basics of loops, methods and conditionals in Java. You'll be completing hands-on HOMEWORK Exercises through out the course! I have provided detailed video solutions to the exercises so that you can check your answers and get step by step instructions of how to tackle the object oriented design assignments. You can find plenty of resources online for solving a programming puzzle or practicing algorithms. But. when it comes to object oriented design, admittedly, there is limited material out there for you to practice. So in this course, we use a LEARN-BY-DOING approach to explore a series of progressively challenging exercises to discover the 5 core object oriented design PRINCIPLES summarized by an acronym called SOLID (S). Single Responsibility (O). Open/Closed (L). Liskov Substitution (l ). Interface Segregation (D). Dependency Inversion During this journey you'll get practice applying some of the most important DESIGN PATTERNS that competent developers must have under their belt. There are so many design patterns out there, but we'll be thoroughly covering only the most important ones. Save yourself the time from learning all the design patterns and going on a design frenzy. Focus on the 20% that covers 80% of the scenarios and add miles to your programming efficiency. These cover 80% of patterns used out there in professional software development. 1). Strategy Pattern 2). Observer Pattern 3). Builder pattern 4). Factory method pattern 5). Template Method Pattern 6). Singleton Pattern The topics can be applied to pretty much any object oriented language. But, we'll be using Java, so I expect you to be familiar with the basic language constructs such as classes, methods and interfaces. But don't worry if you don't know about these, I've taken the time to create 6 comprehensive prerequisite lessons on introduction to object orientation. In these lessons, new comers can learn about the basics of object orientation such as 1). Classes and objects 2). Inheritance and polymorphism, 3). Interfaces and abstract classes. I'm certain that, by practicing the concepts covered, you'll make a substantial leap forward in your programming career. I hope to see you in the coming lessons. This course is from This site offers lectures on practical software development topics to immediately impact your programming skills. Things you can take to your interview and feel confident in your abilities! 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epub | 7.75 MB | English | Isbn:9781484229194 | Author: Thomas Mailund | Year: 2017 About ebook: Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance Category:Computers, Computer Programming, Programming - General & Miscellaneous https://rapidgator.net/file/acf2a021b985cf3d0bac91040f8ab2e6/ https://nitroflare.com/view/F8870D6B6657F16/

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Fundamentals of Object-Oriented Software Development MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 43M | 140 MB Genre: eLearning | Language: English Understanding object-oriented programming (OOP) is a fundamental skill required of software developers. Learn the tenets of OOP and equip yourself with the knowledge needed to leverage modern programming languages such as C#, C++, and Java. Download link: http://rapidgator.net/file/3ba8cf73dad5f903bb170b710d6863f7/oabvy.Fundamentals.of.ObjectOriented.Software.Development.rar.html http://nitroflare.com/view/5F47179B49DE900/oabvy.Fundamentals.of.ObjectOriented.Software.Development.rar https://uploadgig.com/file/download/8f74fE3096de24Ff/oabvy.Fundamentals.of.ObjectOriented.Software.Development.rar http://uploaded.net/file/85ovkw0f/oabvy.Fundamentals.of.ObjectOriented.Software.Development.rar Links are Interchangeable - No Password - Single Extraction

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Lynda - Foundations of Programming: Object-Oriented Design MP4 | AVC 975kbps | English | 960x540 | 29.97fps | 3h 01mins | AAC stereo 96kbps | 1.1 GB Genre: Video Training Most modern programming languages, such as Java, C#, Ruby, and Python, are object-oriented languages, which help group individual bits of code into a complex and coherent application. However, object-orientation itself is not a language; it's simply a set of ideas and concepts. Let Simon Allardice introduce you to the terms-words like abstraction, inheritance, polymorphism, subclass-and guide you through defining your requirements and identifying use cases for your program. The course also covers creating conceptual models of your program with design patterns, class and sequence diagrams, and unified modeling language (UML) tools, and then shows how to convert the diagrams into code. Topics include: Why use object-oriented design (OOD)? Pinpointing use cases, actors, and scenarios Identifying class responsibilities and relationships Creating class diagrams Using abstract classes Working with inheritance Creating advanced UML diagrams Understanding object-oriented design prin[beeep]les http://rapidgator.net/file/459dd3e96701bf116840bdb253471b5f/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part1.rar.html http://rapidgator.net/file/ff8447aefa135bc87c32ee1e929ad803/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part2.rar.html http://rapidgator.net/file/f30341e2c272881e3f90ed634b8c30d6/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part3.rar.html http://rapidgator.net/file/2218bf71e6c3c3f8c01e9d250f26e93a/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part4.rar.html http://rapidgator.net/file/c229d42428d3bd665d54fc8fe2e3b504/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part5.rar.html http://rapidgator.net/file/06883bc9b77dd2da0788b3b2a9e3b413/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part6.rar.html http://www.nitroflare.com/view/219E56A05C81E0E/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part1.rar http://www.nitroflare.com/view/A5F78D2513DA4E5/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part2.rar http://www.nitroflare.com/view/3B3B083E21C7595/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part3.rar http://www.nitroflare.com/view/3939C196E8F8363/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part4.rar http://www.nitroflare.com/view/C42CB40B3614451/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part5.rar http://www.nitroflare.com/view/42CCD765031AE34/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part6.rar http://uploaded.net/file/pjwtw6kb/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part1.rar http://uploaded.net/file/fxyjeogu/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part2.rar http://uploaded.net/file/d248mw00/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part3.rar http://uploaded.net/file/14acvxf6/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part4.rar http://uploaded.net/file/q13ragai/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part5.rar http://uploaded.net/file/srwmunqe/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part6.rar http://uploadrocket.net/7rdgqjo0vu6m/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part1.rar.html http://uploadrocket.net/jcud2od41bqd/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part2.rar.html http://uploadrocket.net/fxvpchchavqp/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part3.rar.html http://uploadrocket.net/6a40ccn9iy4c/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part4.rar.html http://uploadrocket.net/4vn7mtt4ltxp/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part5.rar.html http://uploadrocket.net/usetlhi439eh/7fakt.Lynda..Foundations.of.Programming.ObjectOriented.Design.part6.rar.html

Udemy - Object Oriented Programming WEBRip | MP4/AVC, ~230 kb/s | 1280 x 720 | English: AAC, 86.5 kb/s (2 ch), 48.0 KHz | 270 MB Genre: Development / Programming Languages | Language: English | +Project Files Learn how to apply OOP concepts to your next project using real life concepts.This course is about Object Oriented Programming (OOP). The holy-grail of OOP is to describe a global approach to software design and implementation that will enhance maintainability, increase readability and ease implementation. This lofty ambition is bolstered by the utilization of patterns and prin[beeep]les that transcend any single programming language. If you are new to OOP or are looking to re-affirm your knowledge then this course has been designed for you. Starting with a brief introduction and some terminology, we will dive into understanding exactly what the 4 pillars of OOP are, and how they are to be used. 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Implement the basic Object Oriented Programming Prin[beeep]les Choose when and where to apply these programming ideals Improve Code Readability and Maintainability Adopt industry standards in program design Parti[beeep]te confidently in a conversation about OOP and the role it plays What is the target audience? This course is meant for new programmers, regardless of language, who are NOT familiar with the concepts of Object Oriented Programming and for intermediate students looking for a quick refresher on OOP. Although this course is taught in C#.Net, all concepts are equally applicable to VB.Net, Java, javascript etc. This course is probably not for you if you are looking for software architecture guidelines, or advanced software engineering prin[beeep]les. Curriculum Section 1: Getting Started in Object Oriented Programming Lecture 1 Introduction Preview 03:26 Welcome to this course, in this introductory lecture, we lay out what we will be covering and a little bit about myself. Lecture 2 How To Get The Most From This Course As Quickly As Possible 02:00 A quick note on whether you should start with the first lecture or jump right into the later sections? Lecture 3 The Virtues Of O.O.P 04:04 In this lecture we look at what OOP really is and why it is important for you to add it to your toolbelt. We will see why OOP is recommended and I share my thoughts on why you should adopt an O.O.P mindset on your next project. Lecture 4 [Activity] Good Programming Style / Download 03:38 See how by following a personal standard, you can save time, money and effort writing code. In this lecture you get to download a useful resource on developing a Good Programming Style. Section 2: Object Oriented Programming - Definitions Lecture 5 The 4 Tenents Of Object Oriented Programming Text In this lecture we discuss the 4 major components that you need to grasp to effectively apply OOP to your work. Lecture 6 Definition - Classes and objects 05:26 This lecture covers the difference between procedural programming and the OOP paradigm. Students will learn how to identify classes and objects from requirements gathering and how to structure a solution efficiently. Lecture 7 Definition - Abstraction 05:16 This lecture offers an insight into Abstraction and how a simple shift in your thinking will improve your coding projects. We use simple real-world objects to explain how it works and cover when you should apply it and when not to! Lecture 8 Definition - Encapsulation 07:07 This lecture will explain in plain-english why encapsulation is both simple and important to developing robust and secure software. Lecture 9 Definition - Inheritance 04:48 In this lecture you will learn how to think like a developer, how to reduce coding time and how to structure your projects to exploit the benefits of inheritance. Lecture 10 Definition - Polymorphism 02:50 Poly-what? 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Lecture 16 Practical Polymorphism 05:36 Guided example of how to Apply Polymorphism to a sample project. Section 4: Conclusion Lecture 17 Conclusions 02:38 In this lecture, we draw together some conclusions about Object Oriented Programming and Why we should use it! Lecture 18 Recap 04:00 In this lecture we take a look at everything we have covered in this course. We cover the take-aways, and reaffirm the learning goals. Lecture 19 What Next? 02:20 In this lecture I offer advice on how the novice programmer can further his OOP experience. I explain the next logical steps and encourage students to start applying their new skills. 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TutsPlus - Object-Oriented javascript With ES6 With Jeremy McPeak 1.7 hours | h264, yuv420p, 1280x720, 25fps | aac, 44100 Hz, 1 ch | 1.07 GB Genre: eLearning | Language: English | +Project files In this course, Tuts+ instructor Jeremy McPeak will teach you everything you need to know in order to write object-oriented javascript. You'll learn how to use the different creational patterns, such as factory functions, constructor functions, and classes. You'll also learn how to use the new tools in ECMAScript 2015 (ES6) to implement truly private encapsulation in your code. Finally, you'll also learn the different javascript inheritance patterns for reusing existing code. At the end of this course, you'll apply everything you've learned to write a custom event system and a simple toolbar component. Throughout the course, Jeremy will demonstrate the new syntax in ES6 and also the patterns for achieving object orientation that have been used in older versions of javascript. Download From NitroFlare http://www.nitroflare.com/view/4255412289287D3/Object-OrientedJSES6.part1.rar http://www.nitroflare.com/view/841CD12997C9700/Object-OrientedJSES6.part2.rar http://www.nitroflare.com/view/032673B23B4A153/Object-OrientedJSES6.part3.rar http://www.nitroflare.com/view/EFF0A9E52AFDB83/Object-OrientedJSES6.part4.rar http://www.nitroflare.com/view/6FC467C65C34660/Object-OrientedJSES6.part5.rar Download From Rapidgator http://rapidgator.net/file/529867b1fb0e79a00f11cc84f3d76bfa/Object-OrientedJSES6.part1.rar.html http://rapidgator.net/file/6298c2612988f380d749f582ae46fe73/Object-OrientedJSES6.part2.rar.html http://rapidgator.net/file/1e4155cb03f2acb2392d0c597bc3529b/Object-OrientedJSES6.part3.rar.html http://rapidgator.net/file/22e594626179c7c716d02836a82b984e/Object-OrientedJSES6.part4.rar.html http://rapidgator.net/file/a3750cfcd4fbe5e98938c0d65629684a/Object-OrientedJSES6.part5.rar.html

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