Data Structures and Algorithms with Python With an Introduction to Multiprocessing /

This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms—supported by motivating examples—that bring meaning to the problems faced by comp...

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Detalles Bibliográficos
Autores principales: Lee, Kent D. (Autor), Hubbard, Steve (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2024.
Edición:2nd ed. 2024.
Colección:Undergraduate Topics in Computer Science,
Materias:
Acceso en línea:https://doi.org/10.1007/978-3-031-42209-6
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Tabla de Contenidos:
  • 1. Python Programming 101
  • 2. Computational Complexity
  • 3. Recursion
  • 4. Sequences
  • 5. Sets and Maps
  • 6. Trees
  • 7. Graphs
  • 8. Membership Structures
  • 9. Heaps
  • 10. Balanced Binary Search Trees
  • 11. B-Trees
  • 12. Heuristic Search.