Elements of Programming Interviews in Python (PDF) by Adnan Aziz, Amit Prakash, and Tsung-Hsien Lee includes a framework for writing your solutions, as well as testing them against a comprehensive set of test-cases. The sampler should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style. Since different candidates have different time constraints, Elements of Programming Interviews includes a study guide with several scenarios, ranging from weekend Hackathon to semester-long preparation with a recommended subset of problems for each scenario. All problems are classified in terms of their difficulty level and include many variants to help you apply what you have learned more widely. All problems also include hints for readers who get stuck. This simulates what you will face in the real interview.
Have you ever…
Wanted to work at an exciting futuristic company?
Wished you could study real-world computing problems?
Struggled with an interview problem that could have been solved in 15 minutes?
If so, you need to read Elements of Programming Interviews (EPI).
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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