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

By: McKinney, Wes [author.].
Publisher: Sebastopol, California : O'Reilly Media, Inc., 2018Edition: Second edition.Description: xvi, 528 pages : illustrations ; 23 cm.Content type: text | still image | text | still image Media type: unmediated | unmediated Carrier type: volume | volumeISBN: 1491957662; 9781491957660:; 9781491957660.Subject(s): Python (Computer program language) | Programming languages (Electronic computers) | Data miningDDC classification: 005.133
Contents:
Preface -- 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: This pragmatic guide will help train you in one of the most important tools in the field - Python. Filled with practical case studies, it demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Standard Loan Standard Loan ATU Sligo Yeats Library Main Lending Collection 005.133 MCK (Browse shelf(Opens below)) Lost Checked out 10/06/2020 0082392
Total holds: 0

Includes index.

Preface -- 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.

This pragmatic guide will help train you in one of the most important tools in the field - Python. Filled with practical case studies, it demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python.

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