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McKinney, Wes,

Python for data analysis : data wrangling with pandas, NumPy, and Jupyter / Wes McKinney. - Third edition. - xvi, 561 pages : illustrations ; 24 cm

Previous edition: 2017. Includes index.

Includes bibliographical references and index.

Preliminaries -- 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.

ISBN: 9781098104030 109810403X

LCCN: 2023549174

Nat. Bib. No.: GBC2D5219 bnb

Nat. Bib. Agency Control No.: 020700153 Uk

Subjects--Topical Terms:
Python (Computer program language)
Programming languages (Electronic computers)
Data mining.
Exploration de données (Informatique)
Python (Langage de programmation)
Programming languages (Electronic computers)
Data mining
Python (Computer program language)

LC Class. No.: QA76.73.P98 / M42 2022

Dewey Class. No.: 006.312