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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

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Manufacturer: O'Reilly Media
Publisher: O'Reilly Media
Author(s): Wes McKinney

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Product Description:
Binding: Paperback
EAN: 9781491957660
Edition: 2
Feature: python for data analysis
ISBN: 1491957662
Item Dimensions: Array
Label: O'Reilly Media
Languages: Array
Manufacturer: O'Reilly Media
MPN: 46005891
Number Of Items: 1
Number Of Pages: 550
Publication Date: 2017-10-20
Publisher: O'Reilly Media
Studio: O'Reilly Media
Product Features:
python for data analysis
python for data analysis wes mckinney
Editorial Review:

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

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