[E-BOOK] Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython






 | #41777 in Books |  2017-10-21 | Original language:English |  9.84 x.59 x5.91l, | File Name: 1491957662 | 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 Mana

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, Pyth...


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You easily download any file type for your device.Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython   |  Wes McKinney.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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