Book
Elements of Programming Interviews
by Adnan Aziz, Tsung-Hsien Lee, and Amit Prakash
📖 Overview
Elements of Programming Interviews provides a comprehensive guide to technical interview preparation for software engineering roles. The book contains over 300 coding problems with detailed solutions in Java, Python, and C++.
The content follows a structured approach, beginning with primitive types and progressing through data structures, algorithms, and system design concepts. Each chapter includes a mix of foundational knowledge and practice problems that mirror real interview scenarios at major technology companies.
The authors supply time and space complexity analyses for solutions, along with multiple approaches to solving each problem. The text also incorporates practical advice on interview strategies, problem-solving frameworks, and common pitfalls to avoid.
This systematic examination of computer science fundamentals serves both as an interview preparation resource and a reference for working software engineers. The book's emphasis on algorithmic thinking and clean code implementation reflects core principles valued across the technology industry.
👀 Reviews
Readers consistently highlight the book's depth and difficulty level, with many noting it goes beyond basic coding questions to explore complex algorithms and system design.
Likes:
- Comprehensive explanations of solutions
- Real interview questions from top tech companies
- Multiple solution approaches shown
- Strong focus on time/space complexity analysis
- Quality of C++ code examples
Dislikes:
- Too advanced for beginners
- Dense writing style makes concepts hard to grasp
- Some find problems harder than actual interviews
- Solutions can be overly complex
- Print quality issues in some editions
Ratings:
Amazon: 4.4/5 (1,200+ reviews)
Goodreads: 4.3/5 (1,800+ ratings)
Reader quote: "Not for the faint of heart. This book assumes you're already comfortable with data structures and algorithms. Great for experienced developers preparing for top tech interviews." - Amazon reviewer
Some readers recommend starting with easier interview prep books before tackling this one.
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The Algorithm Design Manual by Steven Skiena The book combines algorithm theory with practical implementation through real-world examples and coding challenges.
Introduction to Algorithms by Thomas H. Cormen This text delivers a comprehensive foundation in algorithms through mathematical proofs and practical implementations.
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Programming Interviews Exposed by John Mongan, Noah Kindler, and Eric Giguere The text breaks down programming concepts through practical interview problems and provides step-by-step solutions with explanations of the thought process.
The Algorithm Design Manual by Steven Skiena The book combines algorithm theory with practical implementation through real-world examples and coding challenges.
Introduction to Algorithms by Thomas H. Cormen This text delivers a comprehensive foundation in algorithms through mathematical proofs and practical implementations.
Daily Coding Problem by Alex Miller and Lawrence Wu The book presents programming challenges from top tech companies with detailed solutions and multiple approaches to each problem.
🤔 Interesting facts
🔸 The book was initially self-published by the authors in 2012, and its success led to publication by major publishers after receiving strong feedback from tech industry professionals.
🔸 Co-author Adnan Aziz has been teaching algorithms at the University of Texas at Austin since 1996 and has interviewed candidates at Google, where he noticed common patterns in programming interviews.
🔸 The problems in the book were curated from over 250 actual interviews at major tech companies, including Google, Facebook, Amazon, and Microsoft.
🔸 The book offers solutions in three programming languages (Python, Java, and C++), with each version containing language-specific optimizations and best practices.
🔸 Unlike many other programming interview books, EPI includes a study guide with suggested timelines for different preparation scenarios, from last-minute cramming to systematic long-term study.