Impractical Python Projects (No Starch Press)
Monday, 03 December 2018

This book is a collection of fun and educational projects designed to entertain programmers while enhancing their Python skills. Author Lee Vaughan picks up where the complete beginner books leave off, expanding on existing concepts and introducing useful new tools. To keep things interesting, each project includes a zany twist featuring historical incidents, pop culture references, and literary allusions. 

<ASIN:159327890X>

Author: Lee Vaughan
Publisher: No Starch Press
Date: November 2018
Pages: 424
ISBN: 978-1593278908
Print: 159327890X
Kindle:  B077WZ43P2
Audience: Python developers wanting to improve their skills
Level: Intermediate
Category: Python

  • Help James Bond crack a high-tech safe with a hill-climbing algorithm
  • Write haiku poems using Markov Chain Analysis
  • Use genetic algorithms to breed a race of gigantic rats
  • Crack the world's most successful military cipher using cryptanalysis
  • Derive the anagram, "I am Lord Voldemort" using linguistical sieves
  • Plan your parents' secure retirement with Monte Carlo simulation
  • Save the sorceress Zatanna from a stabby death using palingrams
  • Model the Milky Way and calculate our odds of detecting alien civilizations
  • Help the world's smartest woman win the Monty Hall problem argument
  • Reveal Jupiter's Great Red Spot using optical stacking
  • Save the head of Mary, Queen of Scots with steganography
  • Foil corporate security with invisible electronic ink.

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

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Machine Learning Q and AI (No Starch Press)

Author: Sebastian Raschka
Publisher: No Starch Press
Date: April 2024
Pages: 264
ISBN: 978-1718503762
Print: 1718503768
Kindle: B0CKKXCK3T
Audience: Developers interested in AI
Rating: 4
Reviewer: Mike James
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Data Structures & Algorithms in Python

Author: Dr. John Canning, Alan Broder and Robert Lafore
Publisher: Addison-Wesley
Date: October 2022
Pages: 928
ISBN:978-0134855684
Print: 013485568X
Kindle: B0B1WJF1K9
Audience: Python developers
Rating: 4
Reviewer: Mike James
Data structures in Python - a good idea!


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