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A Common-Sense Guide to Data Structures and Algorithms, Second Edition (Level Up Your Core Programming Skills)

List Price: $45.95
SKU:
9781680507225
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  • Product Details

    Author:
    Jay Wengrow
    Format:
    Paperback
    Pages:
    508
    Publisher:
    The Pragmatic Programmers (September 15, 2020)
    Language:
    English
    ISBN-13:
    9781680507225
    ISBN-10:
    1680507222
    Dimensions:
    7.5" x 9.25"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20250917125826-20250919.xml
    Folder:
    TWO RIVERS
    List Price:
    $45.95
    Case Pack:
    8
    As low as:
    $43.65
    Publisher Identifier:
    P-PER
    Discount Code:
    H
    Country of Origin:
    United States
    Pub Discount:
    35
    Weight:
    30.4oz
    Imprint:
    Pragmatic Bookshelf
  • Overview

    Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today�s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work.

    Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You�ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions.

    Use these techniques today to make your code faster and more scalable.