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Daily Coding Problem: Get exceptionally good at coding interviews by solving one problem every day - Softcover
Synopsis
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
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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.
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Daily Coding Problem: Get exceptionally good at coding interviews by solving one problem every day
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ISBN 10: 1793296634
ISBN 13: 9781793296634
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Daily Coding Problem: Get exceptionally good at coding interviews by solving one problem every day
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Daily Coding Problem : Get Exceptionally Good at Coding Interviews by Solving One Problem Every Day
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Daily Coding Problem : Get Exceptionally Good at Coding Interviews by Solving One Problem Every Day
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Independently Published, 2019
ISBN 10: 1793296634
ISBN 13: 9781793296634
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Softcover
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Daily Coding Problem: Get exceptionally good at coding interviews by solving one problem every day
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Daily Coding Problem: Get exceptionally good at coding interviews by solving one problem every day
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Daily Coding Problem: Get exceptionally good at coding interviews by solving one problem every day
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Independently published, 2019
ISBN 10: 1793296634
ISBN 13: 9781793296634
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