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

By: McKinney, Wes [author]Material type: Text

TextPublisher: Beijing : O'Reilly, [2022]Copyright date: ©2022Edition: Third editionDescription: xvi, 561 pages illustrations 24 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781098104030; 109810403XSubject(s): 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)DDC classification: 006.312 LOC classification: QA76.73.P98 M42 2022

Contents:

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.

Summary: "Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing." -- Provided by publisher

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Item type	Current library	Call number	Status	Date due	Barcode
Books	Main Library	QA76.73.P98 M42 2022 (Browse shelf (Opens below))	Available		51952000222774
Books	Female Library	QA76.73.P98 M42 2022 (Browse shelf (Opens below))	Available		51952000222767

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Previous edition: 2017.

Includes index.

Includes bibliographical references and index.

"Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing." -- Provided by publisher

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