Python for Data Analysis, 2e Book

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.Read More

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  • BookDepository

    Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively.

  • 1491957662
  • 9781491957660
  • Wes Mckinney
  • 3 November 2017
  • O'Reilly
  • Paperback (Book)
  • 522
  • 2nd ed.

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