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📕 Algorithms and Interviews [2021] Jackson

📕 Algorithms and Interviews [2021] Jackson
Physics.Math.Code.Books
📕 Algorithms and Interviews [2021] Jackson 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. 💾 Скачать книгу https://t.me/physics_lib/8284 #математика@physics_math #алгоритмы@physics_math #программирование@physics_math 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
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