Share
Software Engineering for Data Scientists: From Notebooks to Scalable Systems (in English)
Catherine Nelson
(Author)
·
O'Reilly Media
· Paperback
Software Engineering for Data Scientists: From Notebooks to Scalable Systems (in English) - Nelson, Catherine
$ 55.99
$ 69.99
You save: $ 14.00
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Tuesday, June 11 and
Wednesday, June 12.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Software Engineering for Data Scientists: From Notebooks to Scalable Systems (in English)"
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
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
