Before you buy this book, please first head over to our sample page - elementsofprogramminginterviews.com/sampleThe 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 Java coding style.Complete programs are available at epibook.github.io.Since different candidates have different time constraints, EPI includes a study guide with several scenarios, ranging from weekend Hackathon to semester long preparation with a recommended a 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 includes hints for readers who get stuck. This simulates what you will face in the real interview.The version being sold by Amazon itself is always current. Some resellers may have older versions, especially if they sell used copies.
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.
