- Main
- Computers - Programming
- Robust Python
Robust Python
Patrick ViaforeDoes 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
El archivo será enviado a tu cuenta de Telegram durante 1-5 minutos.
Atención: Asegúrate de haber vinculado tu cuenta al bot Z-Library de Telegram.
El archivo será enviado a tu dispositivo Kindle durante 1-5 minutos.
Nota: Ud. debe verificar cada libro que desea enviar a su Kindle. Revise su correo electrónico y encuentre un mensaje de verificación de Amazon Kindle Support.
- Envía a dispositivos de lectura
- Mayor límite de descargas
- Convierte archivos
- Más resultados de búsqueda
- Otros beneficios