A Common-Sense Guide to Data Structures and Algorithm
Jay Wengrow is a seasoned educator and programmer who is passionate about educating the world to code. He is the founder and CEO of Actualize, a nationwide coding bootcamp and apprenticeship; and Anyone Can Learn To Code, an educational organization that teaches anyone how to code through online tutorials, K-12 computer science curriculum, and corporate training.
Algorithms and data structures are more than just abstract ideas. Mastering them allows you to build faster and more efficient code, which is especially vital for today's web and mobile apps. Take a hands-on approach to data structures and algorithms, using approaches and real-world scenarios you can apply in your daily production code, including examples in JavaScript, Python, and Ruby. This rewritten and updated second edition includes additional chapters on recursion, dynamic programming, and using Big O in your everyday work.
To quantify and explain the efficiency of your code, use Big O notation, and adjust your approach to make it faster. Learn how the arrays, linked lists, and hash tables you use can have a big impact on the code you write. Recursion can be used to tackle difficult issues and construct algorithms that are tenfold quicker than alternatives. Investigate advanced data structures like binary trees and graphs to aid in the scaling of specialized applications like social networks and mapping tools. You may even come upon a single keyword that can give your code a boost. Exercises and comprehensive solutions are provided in each chapter to help you practice your new skills.
Use these strategies right away to make your code more scalable and faster. A Common-Sense Guide to Data Structures and Algorithm is exactly among the best books on algorithms.
Author: Jay Wengrow
Link to buy: https://www.amazon.com/Common-Sense-Guide-Structures-Algorithms-Second/dp/1680507222/
Ratings: 4.7 out of 5 stars (from 432 reviews)
Best Sellers Rank: #10,407 in Books
#1 in Computer Programming Structured Design
#2 in Mathematical & Statistical Software
#2 in Mathematical Analysis (Books)
