Download Elements of Programming Interviews in Python pdf
- Title Elements of Programming Interviews in Python
- Author(s) Adnan Aziz
- Publisher: CreateSpace Independent Publishing Platform (September 15, 2016)
- Paperback: 441 pages
- Language: English
- ISBN-10 : 1537713949
- ISBN-13 : 978-1537713946
Book Description-Elements of Programming Interviews in Python
Download Elements of Programming Interviews in Python pdf- The Python version of our book is available here. Links to the C++ and Java versions can be found on the website. Have you ever thought about…
- Have you ever wanted to work for an innovative, forward-thinking company?
- Have you ever had a problem with an interview that could have been handled in 15 minutes?
- Have you ever wished you could study real-world computing issues?
- If that’s the case, you should read Elements of Programming Interviews (EPI).
EPI is your all-in-one resource for software development job interviews.
EPI is built around a database of over 250 problems with detailed solutions. The issues are typical of interview questions asked by prominent software firms. 200 figures, 300 tested programs, and 150 extra versions are used to highlight the issues.
The book begins with a discussion of the non-technical parts of interviewing, such as interviewing tactics, typical blunders, perspectives from the other side of the table, recommendations on negotiating the best offer, and an overview of how to use EPI effectively. A summary of data structures, algorithms, and problem-solving patterns is also provided.
A series of chapters on fundamental and advanced data structures, searching, sorting, algorithm design principles, and concurrency offer coding issues. A brief introduction, a case study, top advice, and a review of the most significant library methods are included in each chapter. After that, there is a long list of problems to consider.
One of the most appealing aspects of this book is that it is focused solely on Python. The Python solutions in this book are neat and well-thought-out, and they promote good Python habits. It’s far more efficient than picking up an interview prep book written in a different computer language and attempting to convert all of the code yourself.
About the Author
Adnan Aziz is a Facebook research scientist. He was previously a professor at The University of Texas at Austin’s Department of Electrical and Computer Engineering, where he did research and taught students in applied algorithms. For his teaching and research in applied algorithms, he has received numerous accolades. He earned his doctorate from the University of California, Berkeley, and his bachelor’s degree from IIT Kanpur. He’s had positions at Google, Qualcomm, IBM, and a number of software startups. He spends his free time with his three children, Laila, Imran, and Omar, when he is not creating algorithms.
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