72,50 €
85,29 €
-15% su kodu: ENG15
Robust Python
72,50 € 
- Išsiųsime per 10–14 d.d.
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 cl…
72.50
2025-08-31 23:59:00
/https://libri-media.knygos-static.lt/61a39412-31da-4fb1-bffb-ca7a903eadf4/3)
- Autorius: Patrick Viafore
- Leidėjas: O'Reilly UK Ltd.
- Metai: 2021
- ISBN-10: 1098100662
- ISBN-13: 9781098100667
- Formatas: 17.3 x 22.9 x 2.3 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -15 % nuolaida šiai knygai su kodu: ENG15
Atsiliepimai
Aprašymas
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
EXTRA 15 % nuolaida su kodu: ENG15
72,50 €
85,29 €
Išsiųsime per 10–14 d.d.
Akcija baigiasi už 4d.00:19:29
Nuolaidos kodas galioja perkant nuo 10 €. Nuolaidos nesumuojamos.
- Autorius: Patrick Viafore
- Leidėjas: O'Reilly UK Ltd.
- Metai: 2021
- ISBN-10: 1098100662
- ISBN-13: 9781098100667
- Formatas: 17.3 x 22.9 x 2.3 cm, minkšti viršeliai
- Kalba: Anglų
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
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
Atsiliepimai