Buch, Englisch, 250 Seiten, Format (B × H): 170 mm x 236 mm, Gewicht: 475 g
128 Algorithms to Develop Your Coding Skills
Buch, Englisch, 250 Seiten, Format (B × H): 170 mm x 236 mm, Gewicht: 475 g
ISBN: 978-1-108-71682-6
Verlag: Cambridge University Press
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.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Sozialwissenschaften Pädagogik Berufliche Bildung Berufs- und Studienberatung, Karriereplanung
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
Weitere Infos & Material
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.