Robust Python : write clean and maintainable code / Patrick Viafore
Material type: TextPublication details: India Shroff Publishers 2021Description: 359 pISBN:- 9789391043759
- 005.133 VIA-P
Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
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Books | BITS Pilani Hyderabad | 003-007 | General Stack (For lending) | 005.133 VIA-P (Browse shelf(Opens below)) | Checked out | 07/04/2025 | 46287 |
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005.133 VEN-K Mastering C / | 005.133 VEN-M Programming techniques through C : a beginner's companion / | 005.133 VER-V Workbook on C / | 005.133 VIA-P Robust Python : write clean and maintainable code / | 005.133 WAG-B More effective C / | 005.133 WAG-B Effective C♯ : 50 specific ways to improve your C♯ / | 005.133 WAM-D Programming scala scalability = functional programming + Objects / |
Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Python is an easy language to learn and use, but that also means systems can quickly grow beyond comprehension. Thankfully, Python has features to help developers overcome maintainability woes.
In this practical book, author Patrick Viafore shows you how to use Python's type system to the max. You'll look at user-defined types, such as classes and enums, and Python's type hinting system. You'll also learn how to make Python extensible and how to use a comprehensive testing strategy as a safety net. With these tips and techniques, you'll write clearer and more maintainable code.
Learn why types are essential in modern development ecosystems
Understand how type choices such as classes, dictionaries, and enums reflect specific intents
Make Python extensible for the future without adding bloat
Use popular Python tools to increase the safety and robustness of your codebase
Evaluate current code to detect common maintainability gotchas
Build a safety net around your codebase with linters and tests.
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