Jackson C. Algorithms and Interviews: Job Interviewing for Programmers

New York: Amazon.com Services LLC, 2921, — 238 p.Learn how to prepare for technical programming interviews. This book focuses on job interviews for software engineers, both from the traditional interview perspective as well as the technical programming side. While useful review for Computer Science graduates, it is also helpful for self-taught programmers, bootcamp graduates, and anyone interested in job hunting and interview techniques as well as computer algorithm implementation.
When it comes to job interviews, programming interviews are probably some of the scariest. Even seasoned programmers often have a case of the nerves because you never know what the interviewer(s) will ask. Will it be a discussion of your past projects and general knowledge, or will you be put on the spot and have to design a solution on a whiteboard? Even worse, what if it is something you are expected to know because of your background but, in fact, you have never used before in your projects?
This book will attempt to help prepare programmers, particularly Python programmers, for coding-specific interviews. It covers basic interview strategy and preparation, common algorithm-based questions and how to write answers using Python, and touches on some subjects that are commonly found in Computer Science classes.Interview related topics include:
Interview preparation
Interview process
Common interview questions (both traditional and technical)
Resume preparation
Programming topics include:
Data structures
Problem solving paradigms
Problem modeling
Big-O calculations
Complexity analysis
Object Oriented Programming review
Algorithm topics include:
Iteration
Recursion
Divide and conquer
Algorithm Analysis
Linear data structures
Linked lists
Stacks vs. queues
Hash tables
Graphs and trees
Heaps
Priority queues
Linear searching
Advanced graph algorithms
Dynamic programming
Greedy algorithms
Sorting and selection algorithms
Two's complement
Bit manipulation
Math topics include:
Number theory
Probability
Linear algebra
Geometry