This is a larger-format version of Elements of Programming Interviews in Java.
Specifically, the font size is larger, and the page size is 7"x10" (the regular format uses 6"x9").
The content is identical.
This is the Java version of our book. See our website for links to the C++ version.Have you ever...
- Wanted to work at an exciting futuristic company?
- Struggled with an interview problem thatcould have been solved in 15 minutes?
- Wished you could study real-world computing problems?
If so, you need to read Elements of Programming Interviews (EPI).
EPI is your comprehensive guide to interviewing for software development roles.
The core of EPI is a collection of over 250 problems with detailed solutions. The problems are representative of interview questions asked at leading software companies. The problems are illustrated with 200 figures, 300 tested programs, and 150 additional variants.
The book begins with a summary of the nontechnical aspects of interviewing, such as strategies for a great interview, common mistakes, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. We also provide a summary of data structures, algorithms, and problem solving patterns.
Coding problems are presented through a series of chapters on basic and advanced data structures, searching, sorting, algorithm design principles, and concurrency. Each chapter stars with a brief introduction, a case study, top tips, and a review of the most important library methods. This is followed by a broad and thought-provoking set of problems.
A practical, fun approach to computer science fundamentals, as seen through the lens of common programming interview questions.
Jeff Atwood/Co-founder, Stack Overflow and Discourse
The inside story
All three of us successfully made it through the Google interview process, and went on to work at Google, where, among other things, we interviewed candidates for our teams.
We have complementary backgrounds (large company, startup, academia) and have held multiple roles (tech lead, CTO, consultant, professor), that gives us unparalleled insight into the job market.
In addition to Google, some of the other places we have worked at include Facebook, Uber, Microsoft, IBM, and Qualcomm.
About the authors
We co-developed algorithms and systems that are used by
over one billion people everyday. We have extensive experience with interviewing candidates, making hiring decisions, and being interviewed.
Adnan Aziz is a Research Scientist at
Facebook. Previously, he was a professor at the Department of Electrical and Computer Engineering at
The University of Texas at Austin, where he conducts research and teaches classes in applied algorithms. He received his PhD from
The University of California at Berkeley; his undergraduate degree is from the
Indian Institute of Technology at Kanpur.
Tsung-Hsien Lee is a Staff Software Engineer at
Toyota Research Institute. Previously, he worked at
Facebook, Google, and
Uber. He received both his MS and undergraduate degrees from
National Tsing Hua University. He has a passion for designing and implementing algorithms. He likes to apply algorithms on every aspect of his life.He takes special pride in helping to organize
Google Code Jam 2014 and
Google Code Jam 2015.
Amit Prakash is a co-founder and CTO of ThoughtSpot, a Silicon Valley startup. Previously, he was a Member of the Technical Staff at Google, where he worked primarily on machine learning problems that arise in the context of online advertising. Before that he worked at Microsoft in the web search team. He received his PhD from The University of Texas at Austin; his undergraduate degree is from the Indian Institute of Technology at Kanpur.
