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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: 280 SCB LOC classification: QA76.73.P98 | M42 2022Online resources: Click here to access online

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 location	Home library	Call number	Status	Date due	Barcode	Item holds
Book	Central Library (CL)	Central Library (CL)	280 SCB (Browse shelf)	Pending hold		9781098104030	1

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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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