Python for data analysis

Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python lan...

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Detalles Bibliográficos
Autor principal: McKinney, Wes (-)
Otros Autores: Steele, Julie, Blanchette, Meghan, Demarest, Rebecca
Formato: Libro electrónico
Idioma:Inglés
Publicado: Beijing : O'Reilly 2012.
Edición:First edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629639306719
Tabla de Contenidos:
  • Preliminaries
  • Introductory examples
  • IPython : an interactive computing and development environment
  • NumPy basics : arrays and vectorized computation
  • Getting started with pandas
  • Data loading, storage, and file formats
  • Data wrangling : clean, transform, merge, reshape
  • Plotting and visualization
  • Data aggregation and group operations
  • Time series
  • Financial and economic data applications
  • Advancded NumPy.