Software Engineering for Data Scientists: From Notebooks to...

Software Engineering for Data Scientists: From Notebooks to Scalable Systems

Catherine Nelson
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Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering,and clearly explains how to apply the best practices from software engineering to data science.

Examples are provided in Python, drawn from popular packages such as NumPy and pandas. If you want to write better data science code, this guide covers the essential topics that are often missing from introductory data science or coding classes, including how to:

  • Understand data structures and object-oriented programming
  • Clearly and skillfully document your code
  • Package and share your code
  • Integrate data science code with a larger code base
  • Learn how to write APIs
  • Create secure code
  • Apply best practices to common tasks such as testing, error...
  • Rok:
    2024
    Wydawnictwo:
    O'Reilly Media
    Język:
    english
    Strony:
    400
    ISBN 10:
    1098136209
    ISBN 13:
    9781098136208
    Plik:
    EPUB, 5.22 MB
    IPFS:
    CID , CID Blake2b
    english, 2024
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