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  1. Free Download Udemy - Oops In Python Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.17 GB | Duration: 4h 43m Mastering Object-Oriented Programming in Python: From Fundamentals to Advanced Design Patterns What you'll learnCore OOP Concepts: Classes, Objects, Methods Inheritance: Create class hierarchies Polymorphism: Implement flexible behaviors Encapsulation & Abstraction: Hide details Magic Methods: Customize class operations Multiple Inheritance: Use complex class structures Design Patterns: Clean and maintainable code Dynamic Classes: Modify classes at runtime Real-World Projects: Practical OOP applications Debug & Optimize: Improve performance and code RequirementsBasic Python Programming Knowledge Understanding of Data Types & Variables Familiarity with Functions and Loops Experience with Python Syntax and IDEs Problem-Solving and Logical Thinking Basic Knowledge of File Handling in Python Willingness to Learn OOP Concepts Access to a Computer with Python Installed DescriptionThis course is designed to provide a comprehensive understanding of Object-Oriented Programming (OOP) in Python, focusing on building efficient, scalable, and reusable software components. It covers fundamental concepts such as classes, objects, inheritance, polymorphism, encapsulation, and abstraction, while also exploring advanced topics like magic methods, multiple inheritance, and dynamic class modifications.Throughout the course, parti[beeep]nts will start by learning the basics of OOP and progress to more complex aspects, including the implementation of design patterns that promote code modularity and maintainability. Each module includes hands-on coding exercises and real-world projects to reinforce key concepts, ensuring that learners can apply their knowledge in practical scenarios. Additionally, the course emphasizes best practices for structuring OOP code, debugging techniques, and performance optimization.By the end of the program, students will have mastered the skills needed to develop complex applications and implement sophisticated OOP designs in Python. The curriculum is designed for both beginners who want to build a strong foundation in Python programming and experienced developers looking to enhance their understanding of software architecture. Upon completion, learners will have the confidence to apply OOP principles in a variety of software development environments, making this course ideal for anyone aiming to elevate their Python programming skills and pursue roles in software engineering or design.With a focus on practical learning and real-world applications, this course is the perfect stepping stone for mastering OOP in Python and building a solid foundation for future software development projects. OverviewSection 1: Advance Python (OOP) Lecture 1 Introduction to Object Oriented Programming (OOP) in Python Lecture 2 Class vs Object in OOP Lecture 3 Writing our first Class in OOP Lecture 4 Methods vs Functions Lecture 5 Class Diagram in OOP Lecture 6 Magic Methods/Dunder Methods in OOP Lecture 7 Concept of self in OOP Lecture 8 How object access attributes in OOP Lecture 9 Reference Variable in OOP Lecture 10 Pass by reference in OOP Lecture 11 Mutibility of Object in OOP Lecture 12 What is instance variable in OOP Lecture 13 Encapsulation in OOP Lecture 14 getter & setter methods in OOP Lecture 15 Collection of class objects in OOP Lecture 16 Static Variables & Methods in OOP Lecture 17 Aggregation in OOP Lecture 18 Aggregation class diagram in OOP Lecture 19 Inheritance in OOP Lecture 20 Inheritance class diagram in OOP Lecture 21 What gets Inherited Lecture 22 Method Overriding in OOP Lecture 23 Super Keyword in OOP Lecture 24 Types of Inheritance in OOP Lecture 25 Polymorphism in OOP Lecture 26 Abstraction in OOP Section 2: Moduler Coding in Python Lecture 27 Moduler Coding in Python Lecture 28 if __name__ == "__main__" in Python Section 3: Mega OOP Project Lecture 29 Mega OOP Project Lecture 30 Conclusion & Future Advice Beginner Python Programmers seeking to learn OOP concepts.,Experienced Developers wanting to deepen OOP skills.,Students looking to enhance their programming foundations.,Software Engineers aiming to improve code modularity.,Data Scientists wanting to build reusable data models.,Tech Enthusiasts interested in software design principles.,Freelancers needing to write scalable applications.,Career Switchers exploring software development roles. Homepage https://www.udemy.com/course/oops-in-python/ Rapidgator https://rg.to/file/1ba83615976044dd617fe23413c18932/avqku.Oops.In.Python.part5.rar.html https://rg.to/file/2229ce4e4e9c775cd6a0c7c8ec921191/avqku.Oops.In.Python.part4.rar.html https://rg.to/file/28124edd30b0dbee74cdc424947360d9/avqku.Oops.In.Python.part1.rar.html https://rg.to/file/8d9c1708b7474b7e8c517a06d8ce1a89/avqku.Oops.In.Python.part3.rar.html https://rg.to/file/c0033d55252fc6babb6831be7cbaec69/avqku.Oops.In.Python.part2.rar.html Fikper Free Download https://fikper.com/V9iGFrr9jC/avqku.Oops.In.Python.part5.rar.html https://fikper.com/fkN5C6wFFq/avqku.Oops.In.Python.part2.rar.html https://fikper.com/fxP7xSAjqx/avqku.Oops.In.Python.part1.rar.html https://fikper.com/j4Ujo1lClh/avqku.Oops.In.Python.part4.rar.html https://fikper.com/n3fLI0Y2R7/avqku.Oops.In.Python.part3.rar.html No Password - Links are Interchangeable
  2. 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
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