Micro Learning | Best Practices for Python Beginners

سرفصل های دوره

Mastering Python Fundamentals: Bite-Sized Lessons for Clean, Efficient, and Professional Code

1. Introduction

1. Introduction

2. Write Readable Code

1. Introduction Write Readable Code

2. Use meaningful variable names

3. Follow PEP 8 Style Guide

4. Example Write Readable Code.html

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3. Comment and Document Your Code

1. Introduction Comment and Document Your Code

2. Use comments to explain why

3. Example Comment and Document Your Code.html

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4. Keep It Simple and Concise

1. Introduction Keep It Simple and Concise

2. Avoid complex and nested code

3. Example Keep It Simple and Concise.html

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5. Use Built-In Functions and Libraries

1. Introduction Use Built-In Functions and Libraries

2. Utilize Pythons extensive standard library

3. Example Use Built-In Functions and Libraries.html

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6. Handle Exceptions Properly

1. Introduction Handle Exceptions Properly

2. Use try-except blocks to handle errors gracefully

3. Example Handle Exceptions Properly.html

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7. Write Modular Code

1. Introduction Write Modular Code

2. Divide your code into functions and modules

3. Example Write Modular Code.html

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8. Test Your Code

1. Introduction Test Your Code

2. Write tests for your functions and modules

3. Example Test Your Code.html

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9. Use Version Control

1. Introduction Use Version Control

2. Track your code changes with version control systems like Git

3. Example Use Version Control.html

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10. Learn and Use Pythonic Idioms

1. Introduction Learn and Use Pythonic Idioms

2. Embrace the Pythonic way of writing code

3. Example Learn and Use Pythonic Idioms.html

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11. Additional Best Practices for Python Beginners

1. Introduction Additional Best Practices for Python Beginners

12. Use Virtual Environments

1. Introduction Use Virtual Environments

2. Isolate your project dependencies

3. Example Use Virtual Environments.html

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13. Follow Naming Conventions

1. Introduction Follow Naming Conventions

2. Stick to the standard naming conventions

3. Example Follow Naming Conventions.html

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14. Optimize Your Code

1. Introduction Optimize Your Code

2. Write efficient code

3. Example Optimize Your Code.html

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15. Use List Comprehensions and Generators

1. Introduction Use List Comprehensions and Generators

2. Make use of list comprehensions and generators

3. Example Use List Comprehensions and Generators.html

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16. Keep Your Code DRY (Dont Repeat Yourself)

1. Introduction Keep Your Code DRY (Dont Repeat Yourself)

2. Avoid code duplication

3. Example Keep Your Code DRY.html

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17. Understand Pythons Data Structures

1. Introduction Understand Pythons Data Structures

2. Choose the right data structures

3. Example Understanding Pythons Data Structures.html

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18. Use Context Managers

1. Introduction Use Context Managers

2. Manage resources with context managers

3. Example Use Context Managers.html

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19. Be Aware of Mutable Default Arguments

1. Introduction Be Aware of Mutable Default Arguments

2. Avoid using mutable objects as default arguments

3. Example Be Aware of Mutable Defaults Arguments.html

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20. Use Enumerate for Loop Counters

1. Introduction Use Enumerate for Loop Counters

2. Use enumerate to get the index and value in loops

3. Example Use Enumerate for Loop Counters.html

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21. Profile and Optimize Your Code

1. Introduction Profile and Optimize Your Code

2. Identify bottlenecks using profiling tools

3. Example Profile and Optimize Your Code.html

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22. Stay Updated and Engage with the Community

1. Keep learning and stay updated

23. Summary

1. Summary Best Practices for Python Beginners

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