Python Algorithms - Mastering Basic Algorithms in the Python Language, 2nd edition, By Magnus Lie Hetland [PDF][APRESS][SucaX]

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Python Algorithms - Mastering Basic Algorithms in the Python Language By Magnus Lie Hetland
English | September 4, 2014 | ISBN-10: 148420056X | ISBN-13: 978-1484200568 | 2nd edition | PDF | 320 Pages | 4.72 MB



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INFO:
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.



WHAT YOU'LL LEARN:
* How to extend your Java skills beyond the fundamental object oriented concepts and core language features
* How to transform new problems to well-known algorithmic problems with efficient solutions, or show that the problems belong to classes of problems thought not to be efficiently solvable
* How to analyze algorithms and Python programs using both mathematical tools and basic experiments and benchmarks
* How to understand several classical algorithms and data structures in depth, and be able to implement these efficiently in Python
* How to design and implement new algorithms for new problems, using time-tested design principles and techniques
* How to speed up implementations, using a plethora of tools for high-performance computing in Python



TABLE OF CONTENTS:
1. Introduction
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



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Python Algorithms - Mastering Basic Algorithms in the Python Language, 2nd edition, By Magnus Lie Hetland [PDF][APRESS][SucaX]