Daily Coding Problem: Get exceptionally good at coding interviews by solving one problem every day

Author: Wu Lawrence

Brand: Independently Published

Number Of Pages: 299

Details: Review

“I’m thrilled to say that I had my on-site interview with Google and I got an offer! This is precisely the offer I wanted, and it wouldn’t have been possible without Daily Coding Problem!”
— Evan Donahue, Software Engineer at Google
“After studying for just 3 months I was able to receive a Software Engineer offer at Facebook! I highly recommend Daily Coding Problem to people who want to put in just a few months of extra effort to pass hard interviews.”
— Melissa Yuen, Software Engineer at Facebook

Product Description

Daily Coding Problem contains a wide variety of questions inspired by real programming interviews, with in-depth solutions that clearly take you through each core concept. You’ll learn about: • Linked Lists • Arrays • Heaps • Trees • Graphs • Randomized Algorithms • Backtracking • Dynamic Programming • Stacks and Queues • Bit Manipulation • System Design

About the Author

Alex Miller is a software engineer who has interviewed hundreds of candidates on behalf of Yelp, Pinterest, and Intuit. He currently works as an expert interviewer at Karat. He has extensive experience teaching algorithms, data structures, and mathematics. Alex holds a degree in mathematics from Wesleyan University.
Lawrence Wu is a software engineer who has worked at Google, Twitter, and Yelp and has gained deep insight into each company’s hiring practices. Most recently, he has worked at Lyft on their self-driving division. Lawrence holds a degree in computer science from the University of Toronto.

Release Date: 31-01-2019

Package Dimensions: 23x251x544