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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, but in a highly pedagogic and 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. §New in this second edition: Basic algorithmic models for parallelism, appropriate for big data applications and batch processing §Various forms of "black-box solutions" available to Python programmers to solve algorithmic problems§Heuristic optimizations such as those used for simulated annealing and bioinformatic programming
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