Book

Python for data analysis : data wrangling with pandas, NumPy, and IPython

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Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, 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.

Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

Use the Jupyter notebook and IPython shell for exploratory computing
Learn basic and advanced features in NumPy
Get started with data analysis tools in the pandas library
Use flexible tools to load, clean, transform, merge, and reshape data
Create informative visualizations with matplotlib
Apply the pandas groupby facility to slice, dice, and summarize datasets
Analyze and manipulate regular and irregular time series data
Learn how to solve real-world data analysis problems with thorough, detailed examples

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Availability

Detail Information

Series Title

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Call Number

005.133 WES

Publisher

Beijing : O\'Reilly Media, Inc., Sebastopol, California., 2022

Collation

xiii, 447 p. : ill. ; 24 cm.

Language

English

ISBN/ISSN

9781491-95-7660

Classification

005.133

Content Type

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Media Type

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Carrier Type

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Edition

3rd Edition

Subject(s)

1. Computer Science 2. Software Engineering 3. Dat
Data Science Information Technology

Specific Detail Info

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Statement of Responsibility

Wes McKinney

Other version/related

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