Codeless data structures and algorithms : learn DSA without writing a single line of code /

In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic foundation. A solid grasp of data structures and algorithms (DSA) is imperative for anyone looking to do professional software development and engineering, but clas...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Subero, Armstrong
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress L.P., 2020.
Temas:
Data structures (Computer science)
Structures de données (Informatique)
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Part 1: Data Structures
  • Chapter 1: Intro to DSA, Types and Big-O
  • Chapter 2: Linear Data Structures
  • Chapter 3: Tree Data Structures
  • Chapter 4: Hash Data Structures
  • Chapter 5: Graphs
  • Part 2: Algorithms
  • Chapter 6: Linear and Binary Search
  • Chapter 7: Sorting Algorithms
  • Chapter 8: Searching Algorithms
  • Chapter 9: Clustering Algorithms
  • Chapter 10: Randomness
  • Chapter 11: Scheduling Algorithms
  • Chapter 12: Algorithm Planning and Design
  • Appendix A: Going Further.-

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