Amit Prakash

Adnan Aziz

Tsung-Hsien Lee

The core of EPI is a collection of over 300 problems with detailed solutions, including 100 figures, 250 tested programs, and 150 variants. The problems are representative of questions asked at the leading software companies. The book begins with a summary of the nontechnical aspects of interviewing, such as common mistakes, strategies for a great interview, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. The technical core of EPI is a sequence of chapters on basic and advanced data structures, searching, sorting, broad algorithmic principles, concurrency, and system design. Each chapter consists of a brief review, followed by a broad and thought-provoking series of problems. We include a summary of data structure, algorithm, and problem solving patterns.

The Insiders' Guide

Elements of Programming Interviews

the insiders' guide

Elements of programming interviews in Python

Elements of programming interviews in Java

a problem-solving approach

Algorithms for interviews

The Insider's Guide

Elements of Programming Interviews in Java

Have you ever... - Wanted to work at an exciting futuristic company? - Struggled with an interview problem that could 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

Elements of Programming Interviews in Python

Jun Yuan

Carl Pixley

As the complexity and miniaturization of electronic hardware advances, more time and money is actually now spent on testing and verification than in the preliminary design stage. This practical-oriented guidebook covers both the fundamentals and the techniques of constraint-based testbench automation. The book compares and contrasts constraint-based verification with traditional testbench approaches: test generation (a key concept), simulation monitoring, and coverage. Related aspects of verification languages such as e/vera/PSL/OVL/SVA are also covered. On the technical side, state-of-the art algorithms of test generation, performance optimization, and randomization are explained.

Constraint-Based Verification

Adnan Aziz

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