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(Ebook) Software Engineering for Data Scientists by Catherine Nelson ISBN 9781098136208, 1098136209

  • SKU: EBN-56831856
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Authors:Catherine Nelson
Pages:340 pages.
Year:2024
Editon:1 / converted
Publisher:O'Reilly Media
Language:english
File Size:7.41 MB
Format:pdf
ISBNS:9781098136208, 1098136209
Categories: Ebooks

Product desciption

(Ebook) Software Engineering for Data Scientists by Catherine Nelson ISBN 9781098136208, 1098136209

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 handling, and logging
    Work more effectively with software engineers
    Write more efficient, maintainable, and robust code in Python
    Put your data science projects into production
    And more
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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