Clean Code Basics with Python
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.
Lessons and practices
Lesson 1: Clean Code Basics in Python
Lesson 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
Lesson 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
Lesson 4: Comments and Documentation in Python
Cleaning Up Redundant Comments in Python Code
Improving Code Documentation in Python
Refining Comments for Clarity and Professionalism
Lesson 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
Interested in this course? Learn and practice with Cosmo!
Practice is how you turn knowledge into actual skills.