ENGLISH

Software Engineering for Data Scientists: From Notebooks to Scalable Systems

By Catherine Nelson

Book information

Publisher
O'Reilly Media
Year
2024
ISBN
1098136209, 9781098136208
ASIN
B0CWMCN8TD
Language
english
Format
PDF
Filesize
6 MB (6773737 bytes)
Edition
1
Pages
255\258
Orientation
portrait
Paginated
yes
Scanned
no
Time added
2024-04-28 18:07:54
Software Engineering; Data Science; Debugging; Dat

Description

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

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