Python for data analysis : Data Wrangling wit Pandas, NumPy, and IPython Wes McKinney

By:

McKinney, Wes

Material type: Text

TextPublication details: Beijing : O'Reilly, 2018Edition: 2nd EdDescription: 522 pages : ill.; 24 cmISBN:

9789352136414

Subject(s):

DDC classification:

005.133 MCK

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

List(s) this item appears in: New Arrivals 18 January 2024

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	IIITDM Kurnool General Stacks	Non-fiction	005.133 MCK (Browse shelf(Opens below))	Checked out	24.01.2025	0005129
Books	IIITDM Kurnool General Stacks	Non-fiction	005.133 MCK (Browse shelf(Opens below))	Checked out	22.01.2025	0005130

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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

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