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Expert Python Programming

You're reading from   Expert Python Programming Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789808896
Length 646 pages
Edition 3rd Edition
Languages
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Authors (2):
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Michał Jaworski Michał Jaworski
Author Profile Icon Michał Jaworski
Michał Jaworski
Tarek Ziadé Tarek Ziadé
Author Profile Icon Tarek Ziadé
Tarek Ziadé
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Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1: Before You Start
2. Current Status of Python FREE CHAPTER 3. Modern Python Development Environments 4. Section 2: Python Craftsmanship
5. Modern Syntax Elements - Below the Class Level 6. Modern Syntax Elements - Above the Class Level 7. Elements of Metaprogramming 8. Choosing Good Names 9. Writing a Package 10. Deploying the Code 11. Python Extensions in Other Languages 12. Section 3: Quality over Quantity
13. Managing Code 14. Documenting Your Project 15. Test-Driven Development 16. Section 4: Need for Speed
17. Optimization - Principles and Profiling Techniques 18. Optimization - Some Powerful Techniques 19. Concurrency 20. Section 5: Technical Architecture
21. Event-Driven and Signal Programming 22. Useful Design Patterns 23. reStructuredText Primer 24. Other Books You May Enjoy

The seven rules of technical writing

Writing good documentation is easier in many aspects than writing code, but many developers think otherwise. It will become easy once you start following a simple set of rules regarding technical writing.

We are not talking here about writing a novel or poems, but a comprehensive piece of text that can be used to understand software design, an API, or anything that makes up the code base.

Every developer can produce such material, and this section provides the following seven rules that can be applied in all cases:

  • Write in two steps: Focus on ideas, and then on reviewing and shaping your text.
  • Target the readership: Who is going to read it?
  • Use a simple style: Keep it straight and simple. Use good grammar.
  • Limit the scope of the information: Introduce one concept at a time.
  • Use realistic code examples: Foos and bars should be avoided.
  • Use...
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