Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.
1. Introduction2. 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
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