Free Shipping when you spend $60 or more!

Receive free standard shipping when you spend $60 or more, using the code FREESHIP60

LIMITED TIME ONLY

Cover art for Python for Data Analysis, 2e
Published
O'Reilly, November 2017
ISBN
9781491957660
Format
Softcover, 522 pages
Dimensions
23.3cm × 18cm × 2.9cm

Python for Data Analysis, 2e 2nd edition

1 IN STOCK
Ships Tuesday 02nd!
Fast $7.95 flat-rate shipping!
Only pay $7.95 per order within Australia, including end-to-end parcel tracking.
100% encrypted and secure
We adhere to industry best practice and never store credit card details.
Talk to real people
Contact us seven days a week – our staff are here to help.

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.

Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

Use the IPython shell and Jupyter notebook for exploratory computing

Learn basic and advanced features in NumPy (Numerical Python)

Get started with data analysis tools in the pandas library

Use flexible tools to load, clean, transform, merge, and reshape data

Create informative visualizations with matplotlib

Apply the pandas groupby facility to slice, dice, and summarize datasets

Analyze and manipulate regular and irregular time series data

Learn how to solve real-world data analysis problems with thorough, detailed examples

Related books