• Python 3
Reading time
  • Approximately 55 days
What you will learn
  • Numerical Programming and Data Mining
  • Wes McKinney
  • 9 months ago
Packages you will be introduced to
  • matplotlib
  • pandas
  • numpy
  • scipy
Book cover of Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by Wes McKinney

Official description

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.


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