Elements Of Programming Interviews Pdf
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Elements of Programming
Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering, must be based on a solid mathematical foundation. This book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software.
Programming Interviews Exposed
Interviews for software programmers and developers differ from interviews for other types of position in that they consist largely or entirely of coding problems, theory, and brain teasers instead of questions about education, work habits, and experience. There are many books on the latter but none on the former. Thus there's no good way for an applicant to prepare for interviews or to interpret the signals she sends prospective employers by the way she conducts herself during the test. Programmers need to meet challenges of the software interview every time they apply for a job; rarely if ever is someone hired on the basis of having done similar work elsewhere. The software demographic changes jobs with frequency, and understands that remuneration offered for a given position depends in part on how well they acquit themselves when confronted with a poser.· The Job Application Process· Approaches to Programming Problems· Linked Lists· Trees and Graphs· Arrays and Strings· Recursion· Other Programming Topics· Counting, Measuring, and Ordering Puzzles· Graphical and Spatial Puzzles· Knowledge-Based Questions· Non-Technical Questions
Coding Interviews
This book is about coding interview questions from software and Internet companies. It covers five key factors which determine performance of candidates: (1) the basics of programming languages, data structures and algorithms, (2) approaches to writing code with high quality, (3) tips to solve difficult problems, (4) methods to optimize code, (5) soft skills required in interviews. The basics of languages, algorithms and data structures are discussed as well as questions that explore how to write robust solutions after breaking down problems into manageable pieces. It also includes examples to focus on modeling and creative problem solving. Interview questions from the most popular companies in the IT industry are taken as examples to illustrate the five factors above. Besides solutions, it contains detailed analysis, how interviewers evaluate solutions, as well as why they like or dislike them. The author makes clever use of the fact that interviewees will have limited time to program meaningful solutions which in turn, limits the options an interviewer has. So the author covers those bases. Readers will improve their interview performance after reading this book. It will be beneficial for them even after they get offers, because its topics, such as approaches to analyzing difficult problems, writing robust code and optimizing, are all essential for high-performing coders.