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With the subtitle Probabilistic Programming and Bayesian Inference, Cameron Davidson-Pilon illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention.
<ASIN:0133902838>
Author: Cameron Davidson-Pilon
Publisher: Addison-Wesley
Date: October 2, 2015
Pages: 256
ISBN: 978-0133902839
Print: 0133902838
Kindle: B016060UHA
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Software Mistakes and Tradeoffs (Manning)
Author: Tomasz Lelek and Jon Skeet
Publisher: Manning
Date: June 2022
Pages: 426
ISBN: 978-1617299209
Print: 1617299200
Audience: C# developers
Rating: 4
Reviewer: Mike James
We all make mistakes - do you want to read about them?
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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
What exactly is algorithmic thinking?
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