If you are someone who wants to work at a futuristic company, wishes to study real-world computing problems, or has struggled with an interview problem that could have been solved in 15 minutes, then the book Elements of Programming Interviews (EPI) is a must-read for you. This eBook is an insider’s guide to help you crack programming interviews and get selected at top companies.
Elements of Programming Interviews in Python (PDF) is authored by Adnan Aziz, Amit Prakash, and Tsung-Hsien Lee. The book includes a framework that helps you write solutions to problems and simultaneously test them against a comprehensive set of test-cases. The sampler gives a good idea about the quality and style of the book. You should ensure that you are comfortable with the level and the Python coding style.
Since every candidate has different time constraints, the book also includes a study guide with various scenarios. These range from weekend hackathons to semester-long preparation, and recommended subsets of problems are organized for solving in each scenario. The problems are classified on the basis of their difficulty level and include variants that help you apply what you have learned more broadly. Also, hints are provided for readers who get stuck, which simulates what you will face in real interviews.
Reviews
“A practical, fun approach to computer science fundamentals, as seen through the lens of common programming interview questions.” — Jeff Atwood / Co-founder of Stack Overflow and Discourse
“A wonderful resource for anyone preparing for a modern software engineering interview: work through the entire ebook, and you’ll find the actual interview a breeze. More generally, for algorithms enthusiasts, Elements of Programming Interviews offers endless hours of entertainment while simultaneously learning neat coding tricks.” — Vineet Gupta / Principal Engineer of Google
“This ebook prepares the reader for contemporary software interviews and also provides a window into how algorithmic techniques translate into the workplace. It emphasizes problems that stem from real-world applications and can be coded up in a reasonable time, and is a wonderful complement to a traditional computer science algorithms and data structures course.” — Ashish Goel / Professor at Stanford University
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