Data science with Python and Dask /

Data Science with Python and Dask teaches you to build scalable projects that can handle massive datasets. After meeting the Dask framework, you'll analyze data in the NYC Parking Ticket database and use DataFrames to streamline your process. Then, you'll create machine learning models usi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Daniel, Jesse C. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Shelter Island, NY : Manning Publications, [2019]
Temas:
Python (Computer program language)
Data mining.
Electronic data processing > Distributed processing.
Information visualization.
Data Mining
Python (Langage de programmation)
Exploration de données (Informatique)
Traitement réparti.
Visualisation de l'information.
Data mining
Electronic data processing > Distributed processing
Information visualization
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Part 1. The building blocks of scalable computing. Why scalable computing matters
  • Introducing Dask
  • Part 2. Working with structured data using Dask DataFrames. Introducing Dask DataFrames
  • Loading data into DataFrames
  • Cleaning and transforming DataFrames
  • Summarizing and analyzing DataFrames
  • Visualizing DataFrames with Seaborn
  • Visualizing location data with Datashader
  • Part 3. Extending and deploying Dask. Working with bags and arrays
  • Machine learning with Dask-ML
  • Scaling and deploying Dask.

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