A common-sense guide to data structures and algorithms : level up your core programming skills / Jay Wengrow.

Format:

Book

Author/Creator:

Wengrow, Jay, author.

Language:

English

Subjects (All):

Data structures (Computer science).

Computer algorithms.

Physical Description:

1 online resource (508 pages)

Edition:

2nd edition

Place of Publication:

Raleigh, North Carolina : The Pragmatic Bookshelf, [2020]

System Details:

text file

Summary:

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.

Contents:

Why data structures matter

Why algorithms matter

O yes! Big O notation

Speeding up your code with Big O

Optimizing code with and without Big O

Optimizing for optimistic scenarios

Big O in everyday code

Blazing fast lookup with hash tables

Crafting elegant code with stacks and queues

Recursively recurse with recursion

Learning to write in recursive

Dynamic programming

Recursive algorithms for speed

Node-based data structures

Speeding up all the things with binary search trees

Keeping your priorities straight with heaps

It doesn't hurt to trie

Connecting everything with graphs

Dealing with space constraints

Techniques for code optimization.

Notes:

Includes index.

Description based on print version record.

ISBN:

9781680508055

1680508059

9781680508048

1680508040

9781680508062

1680508067

OCLC:

1505732106