Competitive Programming in Python - 128 Algorithms to Develop Your Coding Skills

Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. Readers can expect to master 128 algorithms in Python and discover the right way to tackle a problem and quickly implement a solution of low complexity. Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm are featured alongside lesser known data structures like Fenwick trees and Knuth's dancing links. The book provides a framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. Python code included in the book and on the companion website.

Product details

• Authors: Durr Jill-Jenn Vie Christoph Durr, Christoph Durr, Christoph Vie Durr, Christoph Dürr, Jill-Jenn Vie, Jill-Jênn Vie
• Assisted by: Daniele Gibbons (Translation), Danièle Gibbons (Translation), Greg Gibbons (Translation)
• Publisher: Cambridge University Press Academic
• Languages: English
• Product format: Paperback / Softback
• Released: 30.11.2020
• EAN: 9781108716826
• ISBN: 978-1-108-71682-6
• No. of pages: 264
• Dimensions: 170 mm x 245 mm x 15 mm
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Software Engineering, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Programming / General, COMPUTERS / Programming / Algorithms, COMPUTERS / Machine Theory, EDUCATION / Counseling / Career Development, algorithms and data structures, Careers guidance, Algorithms & data structures, Coding theory & cryptology, Mathematical theory of computation, Computer programming / software engineering, Computer Programming / Software Development, Coding theory and cryptology