Description

Get entire directions for manipulating, processing, cleansing, and crunching datasets in Python. Up to date for Python 3.6, the second one adaptation of this palms-on information is full of sensible case research that display you how one can resolve a extensive set of knowledge research issues successfully. You’ll be told the up to date variations of pandas, NumPy, IPython, and Jupyter within the procedure.

Written via Wes McKinney, the writer of the Python pandas venture, this e-book is a sensible, brand new advent to Knowledge technology equipment in Python. It’s perfect for analysts new to Python and for Python programmers new to Knowledge technology and medical computing. Knowledge recordsdata and comparable subject matter are to be had on GitHub.

  • Use the IPython shell and Jupyter computer for exploratory computing
  • Learn elementary and complicated options in NumPy (Numerical Python)
  • Get began with Knowledge research equipment within the pandas library
  • Use versatile equipment to load, blank, become, merge, and reshape data
  • Create informative visualizations with matplotlib
  • Apply the pandas groupby facility to slice, cube, and summarize datasets
  • Analyze and control common and abnormal time collection data
  • Learn how one can resolve actual-international Knowledge research issues of thorough, precise examples