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Python Algorithms: Mastering Basic Algorithms in the Python Language 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. The book is intended for Python programmers who need to learn about algorithmic problem-solving, or who need a refresher. Data and computational scientists employed to do big data analytic analysis should find this book useful. Game programmers and financial analysts/engineers may find this book applicable too. And, students of computer science, or similar programming-related topics, such as bioinformatics, may also find the book to be quite useful. 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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闲着就要找点事[Python Algorithms]
Python Algorithms: Mastering Basic Algorithms In The Python Language

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python Algorithms 2nd Edition

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读《Python Algorithms: Mastering Basic Algorithms in the Python Language》
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Python Algorithms

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Keras之父、谷歌大脑人工智能和深度学习研究员François Chollet 近日接受采访,对自己的新书《Python深度学习》、Python为何广受欢迎、深度学习面临的挑战等议题进行回答。他认为,大多数深度学习论文都没有遵循科学的研究方法,并未产出有意义的新知识,学术界应该更严谨。《Python深度学习》书中介绍了深度学习使用Python语言和强大Keras库,详实新颖。

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Python Algorithms 2nd 英文pdf 第二版

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