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Competitive programming in Python : 128 algorithms to develop your coding skills / Christoph Dürr, Jill-Jênn Vie ; translated by Greg Gibbons, Danièle Gibbons.

By: Contributor(s): Material type: TextTextLanguage: English Original language: French Publisher: Cambridge : Cambridge University Press, 2020Description: 1 online resource (x, 254 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781108591928 (ebook)
Uniform titles:
  • Programmation efficace. English
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 005.13/3 23
LOC classification:
  • QA76.73.P98 D8713 2020
Online resources: Summary: 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.
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Item type Current library Collection Call number Status Date due Barcode
eBooks eBooks Central Library Computer Science Available EB0211

Title from publisher's bibliographic system (viewed on 14 Dec 2020).

Translation from the French language edition: Programmation efficace - 128 algorithmes qu'il faut avoir compris et codés en Python au cour de sa vie By Christoph Dürr & Jill-Jênn Vie Copyright © 2016 Edition Marketing S.A.

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.

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