Software Engineering for Data Scientists: From Notebooks to Scalable Systems

by: Catherine Nelson (Author)

Publisher: Oreilly & Associates Inc

Publication Date: 21 May 2024

Language: English

Print Length: 400 pages

ISBN-10: 1098136209

ISBN-13: 9781098136208

Book 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 programmingClearly and skillfully document your codePackage and share your codeIntegrate data science code with a larger code baseLea how to write APIsCreate secure codeApply best practices to common tasks such as testing, error handling, and logging Work more effectively with software engineersWrite more efficient, maintainable, and robust code in PythonPut your data science projects into productionAnd more
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