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About the Book

This book is a concise and illustrated guide for anyone who wants to brush up on their fundamentals in the context of coding interviews, computer science classes or to satisfy their own curiosity.

It is divided into 4 parts:

  • Foundations: main types of algorithms and related mathematical concepts
  • Data structures: arrays, strings, queues, stacks, hash tables, linked lists and associated theorems and tricks
  • Graphs and trees: graph concepts and graph traversal algorithms along with important types of trees
  • Sorting and search: common, efficient sorting and search algorithms

This page allows for a self-serve 15% discount (1) aimed at folks who have already purchased the paper version and (2) to account for purchasing power parity across regions. Thank you so much for your interest and support!


About the Authors

Afshine Amidi’s avatar Afshine Amidi

@afshinea

Afshine Amidi is currently teaching the Transformers & Large Language Models workshop at Stanford and is also leading LLM efforts at Netflix. Previously, he worked on the Gemini team at Google and used NLP techniques to solve complex queries. Before that, he worked at Uber Eats to improve the quality of the search and recommendation systems. On the side, Afshine published a few papers at the intersection of deep learning and computational biology. He holds a Bachelor’s and a Master’s Degree from École Centrale Paris and a Master’s Degree from MIT.

Shervine Amidi’s avatar Shervine Amidi

@shervinea

Shervine Amidi is currently teaching the Transformers & Large Language Models workshop at Stanford and is also working on the Gemini team at Google to leverage LLMs for action-based queries. Previously, he worked on applied machine learning problems for recommender systems at Uber Eats where he focused on representation learning to better surface dish recommendations. On the side, Shervine published a few papers at the intersection of deep learning and computational biology. He holds a Bachelor’s and a Master’s Degree from École Centrale Paris and a Master’s Degree from Stanford University.

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