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Computer Programming

420 learners

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.

Python

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5 lessons

12 practices

2 hours

Computer Science Fundamentals

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

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