Python Algorithms
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"The book is structured as probably any book or course for programming. Starting from the basics with the Asymptotic Notation and the complexity of algorithms and going to various structures and cases. After each chapter you have problems with hints for their resolution at the end of the book. . If you know Python already to some good working level and you need to understand algorithms for a reason, the book would bring you there." (Vitosh Academy, vitoshacademy.com, October, 2015)
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Content
2. The Basics
3. Counting 101
4. Induction and Recursion … and Reduction
5. Traversal: The Skeleton Key of Algorithmics
6. Divide, Combine, and Conquer
7. Greed Is Good? Prove It!
8. Tangled Dependencies and Memoization
9. From A to B with Edsger and Friends
10. Matchings, Cuts, and Flows
11. Hard Problems and (Limited) Sloppiness
12. Pedal to the Metal: Accelerating Python
13. List of Problems and Algorithms
14. Graph Terminology!
15. Hints for Exercises
