Exploring Operations Research with R (Chapman & Hall)
Monday, 01 July 2024

This book shows how R can be successfully applied to the field of operations research (OR). Jim Duggan's approach is centred on the idea of the future OR professional as someone who can combine knowledge of key OR techniques (e.g., simulation, linear programming, data science, and network science) with an understanding of R, including tools for data representation, manipulation, and analysis.

<ASIN:‎ 1032277165>

The core aim of the book is to provide a self-contained introduction to R (both Base R and the tidyverse) and show how this knowledge can be applied to a range of OR challenges in the domains of public health, infectious disease, and energy generation, and thus provide a platform to develop actionable insights to support decision making.

Author: Jim Duggan
Publisher: Chapman & Hall
Date: May 2024
Pages: 396
ISBN: 978-1032277165
Print: ‎ 1032277165
Kindle: B0CXNMZFYG
Audience: Developers working in operations research
Level: Intermediate
Category: Data Science

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For recommendations of data mining books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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Algorithmic Thinking, 2nd Ed (No Starch Press)

Author: Dr. Daniel Zingaro
Publisher: No Starch
Date: January 2024
Pages: 480
ISBN: 978-1718503229
Print: 1718503229
Kindle: B0BZGZHK3B
Audience: C programmers
Rating: 4
Reviewer: Mike James
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Author: Florian Rappl
Publisher: Packt Publishing
Date: November 2022
Pages: 208
ISBN: 978-1804618295
Print: 1804618292
Kindle: B0B9BH5WBS
Audience: Node.js developers
Level: Introductory/Intermediate
Rating: 3
Reviewer: Ian Elliot
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