Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2nd Edition

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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2nd Edition

Wes McKinney

ISBN10: 1491957662

ISBN13: 978-1491957660

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2nd Edition

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title Python for Data Analysis
subtitle Data Wrangling with Pandas, Numpy, and Ipython
authors Wes McKinney
publisher O'Reilly Media
publishedDate 2017-10
description 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
pageCount 550
printType BOOK
categories Computers
averageRating 4
ratingsCount 3
maturityRating NOT_MATURE
panelizationSummary
language en
canonicalVolumeLink https://books.google.com/books/about/Python_for_Data_Analysis.html?hl=&id=2BYfvgAACAAJ

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