Competitive Programming in Python: 128 Algorithms to Develop your Coding Skills

Competitive Programming in Python

128 Algorithms to Develop your Coding Skills
 
Kiadó: Cambridge University Press
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A termék adatai:

ISBN13:9781108716826
ISBN10:1108716822
Kötéstípus:Puhakötés
Terjedelem:264 oldal
Méret:244x170x15 mm
Súly:460 g
Nyelv:angol
280
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Rövid leírás:

All the algorithms, proofs, and implementations in Python you need to know for tech job interviews and coding competitions.

Hosszú leírás:
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.

'This book guides the reader through a collection of interesting problems, teaching us many ideas that underlie efficient algorithms. The simplicity of Python helps highlight the beauty and accessibility of the ideas. I found it a most enjoyable and engaging book.' Anupam Gupta, Carnegie Mellon University
Tartalomjegyzék:
1. Introduction; 2. Character strings; 3. Sequences; 4. Arrays; 5. Intervals; 6. Graphs; 7. Cycles in graphs; 8. Shortest paths; 9. Matching and flows; 10. Trees; 11. Sets; 12. Points and polygons; 13. Rectangles; 14. Numbers and matrices; 15. Exhaustive search; 16. Conclusion.