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Python Clean Code Mastery: Modern Python Coding Principles - 0nelove - 05-04-2025
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![[Image: 6152423-7790-3.jpg]](https://i.postimg.cc/Cx3WsH9t/6152423-7790-3.jpg)
Python Clean Code Mastery: Modern Python Coding Principles
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 794.83 MB | Duration: 3h 46m
Master Python Best Practices And Modern Coding Standards To Elevate Your Programming Skills: Hands-On Case Studies[/center]
What you'll learn
Master the art of writing clean and maintainable Python code by following modern coding principles
Enhance your ability to refactor and optimize legacy codebases, improving performance and readability through guided, hands-on projects
Learn how to structure Python projects effectively, using modular design and clean development standards
Understand and implement Pythonic idioms and patterns to write code that is both concise and readable
Requirements
An installation of a recent Python version (3.10+ is recommended)
An installation of PyCharm Community version is recommended or another modern IDE
Good grasp of basic Python coding
Description
Master Python Best Practices and Clean Code Principles for Modern DevelopmentAre you ready to write Python code that's not only functional, but elegant, maintainable, and truly Pythonic? "Python Clean Code Mastery: Modern Python Coding Principles" is your complete guide to writing clean, modern Python. Whether you're a self-taught coder or an experienced developer, this course will transform how you approach code quality, readability, and best practices.Why Enroll in This Course?Write Cleaner Code: Learn the principles of writing clear, maintainable, and Pythonic code. You'll gain practical techniques to reduce complexity, eliminate redundancy, and make your code easier to understand.Master Modern Python: Get up to speed with the latest features and syntax in modern Python. Discover how these enhancements can simplify your logic and make your code more expressive.Improve Code Structure: Enhance your use of functions, classes, and control flow for better design. You'll learn how to organize your code for scalability and long-term maintainability.Enhance Readability and Style: Follow professional coding standards and style guides for clean, consistent code. Adopt best practices that align with the expectations of modern development teams and code reviewers.Learn by Doing: Reinforce your skills through hands-on case studies and real-world refactoring projects. You'll apply everything you learn in practical scenarios that mimic professional development challenges.What You'll LearnClean Code Principles: Master the fundamentals of writing clear, readable, and maintainable Python code.Modern Python Syntax: Use up-to-date language features like assignment expressions and structural pattern matching effectively.Smart Data Structures: Apply best practices when working with lists, tuples, dictionaries, and built-in data types.Advanced Function Design: Understand closures, argument types, and how to avoid common function-related bugs.Advanced Class Patterns: Build robust class designs using data classes, mix-ins, and descriptors.Type-Safe Development: Improve reliability with type hints and adhere to modern style guides like PEP8.Exception Handling Strategies: Design structured, defensive error handling for cleaner, safer applications.Real-World Case Studies: Practice refactoring legacy code and building projects using clean code techniques.Who Should Take This Course?Python developers of all levels who want to level up their code quality and learn advanced modern Python techniques.Start Writing Cleaner, Smarter Python TodayStop settling for code that just works and rather start writing code that's clean, efficient, and built to last. Enroll now and take your Python skills to the next level!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Idiomatic Python
Section 2: Modern Python Syntax and Control Flow
Lecture 3 The Walrus Operator
Lecture 4 The Match-Case Statement
Lecture 5 Catch-All Unpacking
Lecture 6 Effective Looping Strategies
Section 3: Data Structures
Lecture 7 Using setdefault and defaultdict
Lecture 8 Merge and Update Dictionaries
Lecture 9 Lists VS Tuples
Section 4: File and Path Handling
Lecture 10 Pathlib VS os.path
Section 5: Function Mechanics and Common Pitfalls
Lecture 11 Pitfalls of nonlocal and global in Closure Functions
Lecture 12 Leveraging Positional-Only and Keyword-Only Arguments
Lecture 13 Mutable Default Arguments
Section 6: OOP Techniques and Class Architecture
Lecture 14 Data Classes
Lecture 15 Mix-in Classes
Lecture 16 The property Decorator
Lecture 17 Descriptor Protocol
Lecture 18 Validating Subclasses
Lecture 19 Class Decorators
Section 7: Typing and Style
Lecture 20 Type Annotations
Lecture 21 PEP8 Style Guide
Section 8: Exceptions
Lecture 22 The Exception Class
Lecture 23 Using assert for Exceptions
Section 9: Case Studies
Lecture 24 Bookworm CLI Tool
Lecture 25 Refactoring Legacy Code
Section 10: Outro
Lecture 26 Congratulations!
Lecture 27 Bonus Lecture
Python developers and programming enthusiasts who want to enhance their coding skills by mastering clean, efficient, and modern Python coding principles and best practices
Code:
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