Python for data analysis
by McKinney, Wes
Edition statement:Second edition. Published by : O'Reilly Media, Inc., (Sebastopol, California) Physical details: xvi, 524 pages illustrations ; 24 cm ISBN:1491957662; 9781491957660.| Item type | Current location | Call number | Status | Notes | Date due | Barcode |
|---|---|---|---|---|---|---|
| 0 - 99 | 005.133 McK (Browse shelf) | Available | Desk Copy | 108965 |
"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.
108965