[PDF.32wf] 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
Wes McKinney
[PDF.ul80] Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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| #20910 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 a New York?based software developer and entrepreneur. After finishing his undergraduate degree in mathematics at MIT in 2007, he went on to do quantitative finance work at AQR Capital Management in Greenwich, CT. Frust
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 gadget.Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython | Wes McKinney. Just read it with an open mind because none of us really know.
