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Python for data analysis : data wrangling with pandas, NumPy, and Jupyter / Wes McKinney.

By: Material type: TextTextOriginal language: English Series: DataCalifornia, EUA : O'Reilly, ©2022Edition: Third editionDescription: xvi, 561 páginas ; 24 cmContent type:
  • texto
Media type:
  • sin medio
Carrier type:
  • volumen
Subject(s): LOC classification:
  • QA 76.73 .P98 M355 2022
Partial contents:
Python language basics IPython, and Jupyter notebooks. -- Built-in data structures, functions, and files. -- NumPy basics: arrays and vectorized computation. -- Getting started with pandas. -- Data loading, storage, and file formats. -- Data cleaing and preparation. -- Data wrangling: join, combine, reshape. -- Plotting and visualization. -- Data aggregation and group operations. -- Time series. -- Introduction to modeling libraries in Python. -- Data analysis examples. -- Advanced NumPy. -- More on the IPython system.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Préstamo Biblioteca Pedro Arrupe Acervo QA 76.73.P98 M355 2022 (Browse shelf(Opens below)) Ej. 1 Available 165079

Incluye índice.

Python language basics IPython, and Jupyter notebooks. -- Built-in data structures, functions, and files. -- NumPy basics: arrays and vectorized computation. -- Getting started with pandas. -- Data loading, storage, and file formats. -- Data cleaing and preparation. -- Data wrangling: join, combine, reshape. -- Plotting and visualization. -- Data aggregation and group operations. -- Time series. -- Introduction to modeling libraries in Python. -- Data analysis examples. -- Advanced NumPy. -- More on the IPython system.

Bibliografía básica, compra. 21-04-2026.

Texto en idioma Inglés.

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