Problem Solving for Coding Interviews
by Karthik Naidu
Publisher: GitBook 2015
Number of pages: 285
An engineer's notes on problem solving. Ideally suited as practice material for coding interviews. This started out as a collection of interview questions and solutions that I accumulated over the years. I've scoured through several forums like Careercup and Glassdoor. While they're an excellent source for questions, finding good solutions with explanations is quite hard. Hence I decided to start preparing my own solutions and sharing it with others. Each post has 5 sections: problem statement, examples, algorithm, code, test cases and a discussion on time-complexity.
Home page url
Download or read it online for free here:
by Lawrence C Paulson - University of Cambridge
This text teaches programming and presents some fundamental principles of computer science, especially algorithm design. The programming in this course is based on the language ML and mostly concerns the functional programming style.
by Peter Van Roy, Seif Haridi - The MIT Press
Covered topics: concurrency, state, distributed programming, constraint programming, formal semantics, declarative concurrency, message-passing concurrency, forms of data abstraction, building GUIs, transparency approach to distributed programming.
by Robert M. Keller - Harvey Mudd College
This book is intended for a second course in computer science, one emphasizing principles wherever it seems possible. It is not limited to programming, it attempts to use various programming models to explicate principles of computational systems.
by John C. Reynolds - Prentice Hall
Read this book if you need a much deeper understanding of programming: the need to carefully structure a program to avoid being overwhelmed by its complexity, or the need to insure reliability beyond what can he achieved by debugging.