Codeless Data Structures and Algorithms : Learn DSA Without Writing a Single Line of Code

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
Autor principal: Subero, Armstrong. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2020.
Edición:1st ed. 2020.
Materias:
Algorithms.
Artificial intelligence > Data processing.
Coding theory.
Information theory.
Big data.
Quantitative research.
Data mining.
Data Science.
Coding and Information Theory.
Big Data.
Data Analysis and Big Data.
Data Mining and Knowledge Discovery.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631030806719
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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