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Mastering Solid Principles In Python

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Free Download Mastering Solid Principles In Python
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.18 GB | Duration: 3h 15m
Design Robust, Scalable, and Maintainable Python Applications with SOLID Principles

What you'll learn
Understand SOLID Principles: Grasp the core concepts of SOLID principles and their significance in object-oriented programming
Apply SOLID in Python: Learn to implement SOLID principles in Python for cleaner, more maintainable code.
Refactor Code with SOLID: Master the art of refactoring existing Python code to adhere to SOLID principles.
Design Better Software: Develop the skills to design flexible, scalable, and robust software systems using SOLID principles.
Enhance Code Readability: Improve the readability and structure of your Python code by applying SOLID principles effectively.
Avoid Common Pitfalls: Learn to identify and avoid common design pitfalls in software development through SOLID practices.
Boost Code Reusability: Increase the reusability of your Python code by adhering to SOLID principles in your design.
Strengthen Debugging Skills: Enhance your ability to debug and maintain Python code by following SOLID design principles.
Requirements
Basic Python Knowledge: A fundamental understanding of Python syntax and basic programming concepts is recommended.
Familiarity with OOP: Some experience with object-oriented programming (OOP) concepts in Python or another language will be helpful.
Eagerness to Learn: No advanced skills are required, just a willingness to learn and improve your coding practices. Beginners are welcome!
Description
In "Mastering SOLID Principles in Python," you will dive deep into the essential design principles that every software developer and architect should know to create flexible, scalable, and maintainable code. Whether you are a Python developer looking to improve your coding practices or a software engineer seeking to enhance your object-oriented design skills, this course is tailored for you.Through a combination of theory and hands-on examples, you'll learn how to apply the SOLID principles—Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion—in your Python projects. By the end of the course, you'll not only understand these principles but also be able to refactor existing code and design better software systems with ease. This course is perfect for developers of all levels who are eager to write cleaner, more efficient Python code.Additionally, the course will offer practical insights into common design pitfalls and how to avoid them using SOLID principles. You will also explore real-world scenarios where these principles make a significant difference, enabling you to write code that is easier to test, debug, and extend. By mastering these concepts, you'll become a more proficient and confident Python developer, equipped to tackle complex software design challenges effectively and efficiently.
Overview
Section 1: Introduction to SOLID Principles
Lecture 1 Introduction to the Course
Lecture 2 What Are SOLID Principles?
Lecture 3 Why Are SOLID Principles Important
Lecture 4 Overview of Each SOLID Principle
Lecture 5 History and Origins of SOLID Principles
Lecture 6 Common Misconceptions About SOLID Principles
Lecture 7 Summary and What's Next
Lecture 8 Introduction to SOLID Principles
Section 2: Single Responsibility Principle (SRP)
Lecture 9 The Importance of SRP in Software Design
Lecture 10 Important Identifying Responsibilities in a Class
Lecture 11 Refactoring Code to Adhere to SRP
Lecture 12 Single Responsibility Principle (SRP)
Lecture 13 Common Pitfalls and How to Avoid Them
Lecture 14 Practical Example SRP in a Real-World Project
Lecture 15 Hands-On Exercise Applying SRP to Your Own Code
Lecture 16 Recap and Key Takeaways
Section 3: Open/Closed Principle (OCP)
Lecture 17 OpenClosed Principle (OCP)
Lecture 18 OCP with a Violation and its Correction
Lecture 19 Real-World Application of OCP
Lecture 20 OCP-Common Mistakes and Pitfalls
Lecture 21 Open/Closed Principle (OCP)
Lecture 22 Hands-On Exercise Implementing OCP
Lecture 23 Recap
Section 4: Liskov Substitution Principle (LSP)
Lecture 24 Introduction to Liskov Substitution Principle
Lecture 25 Real-World Analogy Square vs. Rectangle
Lecture 26 Section 4: Liskov Substitution Principle (LSP)
Lecture 27 LSP-Example
Lecture 28 Strategies to Avoid LSP Violations
Lecture 29 Summary and Conclusion - LSP
Section 5: Interface Segregation Principle (ISP)
Lecture 30 Interface Segregation Principle (ISP)
Lecture 31 Common Violations of ISP
Lecture 32 Refactoring to Adhere to ISP
Lecture 33 Interface Segregation Principle (ISP)
Lecture 34 Real-World Application of ISP
Lecture 35 Solution-Applying the Interface Segregation Principle
Lecture 36 Recap-ISP
Section 6: Dependency Inversion Principle (DIP)
Lecture 37 Section 6: Dependency Inversion Principle
Lecture 38 Coding-Dependency Inversion Principle
Lecture 39 Dependency Inversion Principle (DIP)
Lecture 40 Real-World Application of DIP
Lecture 41 Recap-DIP
Section 7: Final Project & Course Wrap-Up
Lecture 42 Project-Applying SOLID Principles
Lecture 43 Implementation- Applying SOLID Principles
Lecture 44 Conclusion
Experienced Developers Seeking Best Practices: Seasoned developers looking to deepen their understanding of design principles and improve code quality through SOLID principles.,Software Engineers: Engineers looking to refine their object-oriented design skills and create more maintainable, scalable software.,Python Developers: Python programmers who want to improve their coding practices by learning and applying SOLID principles.,Beginners with Basic Python Knowledge: New developers with a basic understanding of Python who are eager to learn industry-standard practices for better code design.
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