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Mastering Python. Write powerful and efficient code using the full range of Python’s capabilities - Second Edition Rick van Hattem

Język publikacji: angielskim
Mastering Python. Write powerful and efficient code using the full range of Python’s capabilities - Second Edition Rick van Hattem - okladka książki

Mastering Python. Write powerful and efficient code using the full range of Python’s capabilities - Second Edition Rick van Hattem - okladka książki

Autor:
Rick van Hattem
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
710
Dostępne formaty:
     PDF
     ePub

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Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python’s capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10.

Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code’s performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community.

If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges

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O autorze książki

Rick van Hattem is an experienced programmer, entrepreneur, Stack Overflow veteran, and software/database architect with more than 20 years of programming experience, including 15 years with Python. He has extensive experience with high-performance architecture featuring large amounts of concurrent users and/or data. Rick has founded several start-ups and has consulted many companies, including a few Y Combinator start-ups and several large businesses

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