Data Structures and Algorithms with Python

This clearly structured and easy to read 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 m...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Lee, Kent D. (Autor), Hubbard, Steve (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Undergraduate Topics in Computer Science,
Temas:
Artificial intelligence > Data processing.
Python (Computer program language).
Algorithms.
Computer programming.
Data Science.
Python.
Programming Techniques.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 1: Python Programming 101
  • 2: Computational Complexity
  • 3: Recursion
  • Sequences
  • 4: Sets and Maps
  • 5: Trees
  • 6: Graphs
  • 7: Membership Structures
  • 8: Heaps
  • 9: Balanced Binary Search Trees
  • 10: B-Trees
  • 11: Heuristic Search
  • Appendix A: Integer Operators
  • Appendix B: Float Operators
  • Appendix C: String Operators and Methods
  • Appendix D: List Operators and Methods
  • Appendix E: Dictionary Operators and Methods
  • Appendix F: Turtle Methods
  • Appendix G: TurtleScreen Methods
  • Appendix H: Complete Programs.

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