Hands-On Mathematical Optimization with Python (Cambridge University Press)
Friday, 06 June 2025

This practical guide to optimization combines mathematical theory with hands-on coding examples to explore how Python can be used to model problems and obtain the best possible solutions. Krzysztof Postek et al present a balance of theory and practical applications. 

 

Author: Krzysztof Postek, Alessandro Zocca, Joaquim A. S. Gromicho and Jeffrey C. Kantor
Publisher: Cambridge University Press
Date: April 2025
Pages: 354
ISBN: 978-1009493505
Print: 1009493507
Kindle: B0DNTFCHMP
Audience: Developers interested in math
Level: Advanced
Category: Mathematics

handsonmathopt

Beginning with an introduction to the concept of optimization, the book presents the key ingredients of an optimization problem and the choices one needs to make when modeling a real-life problem mathematically. Topics covered range from linear and network optimization to convex optimization and optimizations under uncertainty. The book's Python code snippets, alongside more than 50 Jupyter notebooks, are available on the author's GitHub.

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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Publisher: Oracle Press
Pages: 480
ISBN: 978-0138062835
Print: 0138062838
Audience: Developers interested in Oracle PL/SQL
Rating: 4
Reviewer: Kay Ewbank

This is the sixth edition of a well established title that has been updated for the latest version of PL/SQL (21c).



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Author: Luis G. Serrano
Publisher: Manning
Date: December 2021
Pages: 512
ISBN: 978-1617295911
Print: 1617295914
Kindle: B09LK7KBSL
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
Another book on machine learning - surely we have enough by now?


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