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

Wes McKinney




[PDF.ni79] Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

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 | #205137 in Books |  2017-09-25 | Original language:English |  9.17 x.59 x7.01l, | File type: PDF | 550 pages

||About the Author|
|Wes McKinney is the main author of pandas, the popular open sourcePython library for data analysis. Wes is an active speaker andparticipant in the Python and open source communities. He worked as a quantitative analyst at AQR Capital Manag

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, ...

You can specify the type of files you want, for your device.Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython   |  Wes McKinney. Which are the reasons I like to read books. Great story by a great author.

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