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

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

2017 | Computing & IT

Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide-updated for Python 3.5 and Pandas 1.0-is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems, using Python libraries such as NumPy, pandas, matplotlib, and IPython. Written by Wes McKinney, the main author of the pandas library, Python for Data Analysis also serves as a practical, modern introduction to scientific computing in Python for data-intensive applications. It's ideal for analysts new to Python and for Python programmers new to scientific computing.

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Wes McKinney
Published by O'Reilly Media, Inc, USA
Edition Unknown
ISBN 9781491957660
Language N/A

Images And Data Courtesy Of: O'Reilly Media, Inc, USA.
This content (including text, images, videos and other media) is published and used in accordance with Fair Use.

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