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

By: Material type: TextEdition: Second editionDescription: xvi, 524 pages : illustrations ; 24 cmISBN:
  • 1491957662
  • 9781491957660
Other title:
  • Data wrangling with pandas, NumPy, and IPython
Subject(s): DDC classification:
  • 005.133 23
LOC classification:
  • QA76.73.P98 M42 2018
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 cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.
Summary: "Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second 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, IPython, and Jupyter in the process"--Page 4 of cover.
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Holdings
Item type Current library Call number Status Barcode
Book Meru University Open Shelves QA76.73.P98 M42 2018 (Browse shelf(Opens below)) Available 21-33995
Total holds: 0

"Revision history for the Second Edition: 2017-09-25: First Release"--Title page verso.

First edition: October 2012.

Includes 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 cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.

"Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second 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, IPython, and Jupyter in the process"--Page 4 of cover.

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