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Learning Algorithms - A Programmer's Guide to Writing Better Code (Paperback)
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Learning Algorithms - A Programmer's Guide to Writing Better Code (Paperback)
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When it comes to writing efficient code, every software
professional needs to have an effective working knowledge of
algorithms. In this practical book, author George Heineman
(Algorithms in a Nutshell) provides concise and informative
descriptions of key algorithms that improve coding. Software
developers, testers, and maintainers will discover how algorithms
solve computational problems creatively. Each chapter builds on
earlier chapters through eye-catching visuals and a steady rollout
of essential concepts, including an algorithm analysis to classify
the performance of every algorithm presented in the book. At the
end of each chapter, you'll get to apply what you've learned to a
novel challenge problem -- simulating the experience you might find
in a technical code interview. With this book, you will: Examine
fundamental algorithms central to computer science and software
engineering Learn common strategies for efficient problem solving
-- such as divide and conquer, dynamic programming, and greedy
approaches Analyze code to evaluate time complexity using big O
notation Use existing Python libraries and data structures to solve
problems using algorithms Understand the main steps of important
algorithms
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