Description: Further DetailsTitle: Software Engineering for Data ScientistsCondition: NewSubtitle: From Notebooks to Scalable SystemsEAN: 9781098136208ISBN: 9781098136208Publisher: O'Reilly MediaFormat: PaperbackRelease Date: 04/30/2024Description: 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, clearly explaining 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 you need (and 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 codebaseWrite APIsCreate secure codeApply best practices to common tasks such as testing, error handling, and loggingWork more effectively with software engineersWrite more efficient, maintainable, and robust code in PythonPut your data science projects into productionAnd moreLanguage: EnglishCountry/Region of Manufacture: USItem Height: 233mmItem Length: 178mmAuthor: Catherine NelsonGenre: Computing & InternetRelease Year: 2024 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Software Engineering for Data Scientists
Title: Software Engineering for Data Scientists
Subtitle: From Notebooks to Scalable Systems
EAN: 9781098136208
ISBN: 9781098136208
Release Date: 04/30/2024
Release Year: 2024
Country/Region of Manufacture: US
Genre: Computing & Internet
Number of Pages: 257 Pages
Language: English
Publication Name: Software Engineering for Data Scientists : from Notebooks to Scalable Systems
Publisher: O'reilly Media, Incorporated
Subject: Intelligence (Ai) & Semantics, General, Databases / Data Mining, Software Development & Engineering / Systems Analysis & Design
Publication Year: 2024
Item Height: 0.7 in
Item Weight: 15.9 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 9.2 in
Author: Catherine Nelson
Item Width: 6.9 in
Format: Trade Paperback
