Python Clean Code Mastery: Modern Python Coding Principles

Master Python Best Practices And Modern Coding Standards To Elevate Your Programming Skills: Hands-On Case Studies

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