Mastering Solid Principles In Python

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.