O'Reilly | Learning Algorithms: A Programmer's Guide To Writing Better Code (2021 EN)

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  1. Kanka

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    Author: George Heineman
    Full Title: Learning Algorithms: A Programmer's Guide To Writing Better Code
    Publisher: O'Reilly Media; 1st edition (July 20, 2021)
    Year: 2021
    ISBN-13: 9781492091011 (978-1-4920-9101-1), 9781492091066 (978-1-4920-9106-6)
    ISBN-10: 1492091014, 1492091065
    Pages: 282
    Language: English
    Genre: Educational: Programming
    File type: EPUB (True), Code Files
    Quality: 10/10
    Price: $59.99


    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 in multiple languages. 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, youâ??ll get to apply what youâ??ve learned to a novel challenge problemâ??simulating the experience you might find in a technical code interview.


    Inside You’ll find:
    ✓ 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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    Last edited by a moderator: Mar 8, 2022