Bibframe Work
TitleCompetitive programming in PythonTypeTextMonographClassificationLCC: QA76.73.P98 D8713 2020 (Assigner: dlc) (Status: used by assigner)DDC: 005.13/3 full (Assigner: dlc)(Source: 23) Supplementary Contentbibliography (bibliography)index (index) NoteIncludes translation or is translationoriginal text: : French 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. What to expect: * Master 128 algorithms in Python. * 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, plus lesser known data structures like Fenwick trees and Knuth's dancing links. * A framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. * Python code in the book and on the companion website"-- Provided by publisher.Authorized Access PointDürr, Christoph, 1969- Competitive programming in Python