Python for data analysis : data wrangling with pandas, NumPy, and IPython / Wes McKinney.
By: McKinney, Wes
.
Material type: 
TextPublisher: Sebastopol, California : O'Reilly Media, Inc., c2018. [reprint 2021]; New Delhi: Shroff Publishers & Distributors Pvt. Ltd., Edition: Second edition. Eighth Indian Reprint: November 2021.Description: xvi, 524 pages : illustrations ; 23 cm.ISBN: 9789352136414; 9781491957660.Other title: Data wrangling with pandas, NumPy, and IPython.Subject(s): Python (Computer program language) | Programming languages (Electronic computers) | Data mining | Python 3.6 | Data managementDDC classification: 005.133 | Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
| Book | BAIUST Library General Stacks | 005.133 M2154p (Browse shelf) | 1 | Not For Loan | 013589 | |
| Book | BAIUST Library General Stacks | 005.133 M2154p (Browse shelf) | 2 | Available | 013590 | |
| Book | BAIUST Library General Stacks | 005.133 M2154p (Browse shelf) | 3 | Available | 013591 | |
| Book | BAIUST Library General Stacks | 005.133 M2154p (Browse shelf) | 4 | Available | 013592 | |
| Book | BAIUST Library General Stacks | 005.133 M2154p (Browse shelf) | 5 | Available | 013593 | |
| Book | BAIUST Library General Stacks | 005.133 M2154p (Browse shelf) | 6 | Available | 013594 | |
| Book | BAIUST Library General Stacks | 005.133 M2154p (Browse shelf) | 7 | Available | 013595 | |
| Book | BAIUST Library General Stacks | 005.133 M2154p (Browse shelf) | 8 | Available | 013596 | |
| Book | BAIUST Library General Stacks | 005.133 M2154p (Browse shelf) | 9 | Available | 013597 | |
| Book | BAIUST Library General Stacks | 005.133 M2154p (Browse shelf) | 10 | Available | 013598 |
"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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