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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Algorithms: Absolute Beginner's Guide
Author: Kirupa Chinnathambi Publisher: Addison-Wesley Date: November 2023 Pages: 416 ISBN: 978-0138222291 Print: 0138222290 Kindle: B0CCTZ37DQ Audience: General Rating: 4.5 Reviewer: Kay Ewbank
Subtitled 'a practical introduction to data structures and algorithms in JavaScript', this book is split into tw [ ... ]
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Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)
Author: Oswald Campesato Publisher: Mercury Learning Date: February 2020 Pages: 300 ISBN: 978-1683924678 Print: 1683924673 Kindle: B084P1K9YP Audience: Developers interested in machine learning Rating: 4 Reviewer: Mike James
Another AI/ML book - is there room for another one?
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