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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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The Art of Computer Programming, Volume 4, Fascicle 5
Author: Donald Knuth
Publisher: Addison-Wesley
Pages: 320
ISBN: 978-0134671796
Print: 0134671791
Audience: Knuth fans
Rating: 4
Reviewer: Mike James
Another portion of TAoCP. Do you need to read it?
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Learn to Code by Solving Problems
Author: Dr. Daniel Zingaro
Publisher: No Starch Press
Date: June 2021
Pages: 335
ISBN: 978-1718501324
Print: 1718501323
Kindle: B08FH92YL8
Audience: People wanting to learn Python
Rating: 4
Reviewer: Mike James
Solving problems - sounds good?
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