Python for Data Analysis, 3rd Edition (Second Early Release)

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Free DownloadPython for Data Analysis, 3rd Edition (Second Early Release)

English | 2021 | ISBN: 9781098104023 | 361 pages | PDF,EPUB | 5.48 MB

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python.

Updated for Python 3.9 and pandas 1.2, the third 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. YouÃâll learn the latest versions of pandas, NumPy, 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. ItÃâs 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 Jupyter notebook and IPython shell for exploratory computing
Learn basic and advanced features in NumPy
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 series data
Learn how to solve real-world data analysis problems with thorough, detailed examples

What is the Filename:Python for Data Analysis, 3rd Edition (Second Early Release)
The File is created by:Amazon
License:Public Domain
Edition:Digital edition
Original cover:Yes
Last revision:2021
Some Other details: N/A

Download Link: Python for Data Analysis, 3rd Edition (Second Early Release)

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