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

Author: McKinney, Wes, author.

Edition Statement:Third edition.

ImprintSebastopol, CA : O'Reilly Media, Inc., 2022.

Descriptionxvi, 561 pages : illustrations ; 24 cm

Note:Includes and index.

Note: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 cleaning and preparation -- Data wrangling: join, combine, and 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.

Note: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.

Note:Recommended in Resources for College Libraries.

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