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| Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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Standard Loan
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ATU Sligo Yeats Library Main Lending Collection | 005.133 MCK (Browse shelf(Opens below)) | Lost Checked out | 10/06/2020 | 0082392 |
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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.