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






[PDF.rw45] Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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 | #31541 in Books |  2017-10-21 | Original language:English |  9.84 x.59 x5.91l, | File type: PDF | 522 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 3.6 and the latest versions of NumPy, IPython, Jupyter, and pandas in 2017—is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems using Python.

Written by Wes McKinney, the main author of the pandas library, Pytho...



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. I was recommended this book by a dear friend of mine.

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