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Clean Code Basics with Python

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Overview

Learn the foundational principles of writing clean, maintainable code in Python. This course covers meaningful naming conventions, effective functions and methods, proper documentation, code formatting, and eliminating redundancies for a solid coding foundation.

Syllabus

Unit 1: Clean Code Basics in Python
Unit 2: Meaningful Naming in Python

Improving Code Readability Through Meaningful Naming
Refactor In-Memory User Database for Naming Consistency
Refactoring Shape Classes for Better Naming Conventions

Unit 3: Clean Function Design in Python

Refactoring for Clean Functions
Refactoring Compensation Calculation with Helper Class
Refactoring Boolean Flags into Clear Methods
Applying the DRY Principle to Order Processing

Unit 4: Comments and Documentation in Python

Cleaning Up Redundant Comments in Python Code
Improving Code Documentation in Python
Refining Comments for Clarity and Professionalism

Unit 5: Eliminating Redundancies in Python Code

Eliminating Code Redundancies with DRY Principle in Python
Refactoring Code to Remove Dead Code Related to Unused Client Tier

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