Software Engineering for Data Scientists: From Notebooks to Scal

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, 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 programming Clearly and skillfully document your code Package and share your code Integrate data science code with a larger codebase 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

Price: 60.2 USD

Location: Severna Park, Maryland

End Time: 2024-11-19T16:29:37.000Z

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Book Title: Software Engineering for Data Scientists: From Notebooks to Scal

Number of Pages: 257 Pages

Publication Name: Software Engineering for Data Scientists : from Notebooks to Scalable Systems

Language: English

Publisher: O'reilly Media, Incorporated

Item Height: 0.7 in

Publication Year: 2024

Subject: Intelligence (Ai) & Semantics, Databases / Data Mining, Software Development & Engineering / Systems Analysis & Design

Type: Textbook

Item Weight: 15.9 Oz

Item Length: 9.2 in

Author: Catherine Nelson

Subject Area: Computers

Item Width: 6.9 in

Format: Trade Paperback