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Math 152: Intro to Mathematical Software

2017-02-13

Kiran Kedlaya; University of California, San Diego

adapted from lectures by William Stein, University of Washington

** Lecture 15: Pandas (part 1) **

Usual schedule this week:

  • Sections Monday

  • Office hours Monday and Tuesday

  • HW due Tuesday 8pm

  • Peer evaluations due Thursday 8pm

However, next Monday is a holiday (Presidents Day), so no lecture, sections or office hours that day.

Pandas Overview

"pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language."

  • Problem pandas solves: data analysis and modeling. pandas enables you to carry out your entire data analysis workflow in Python without having to switch to a more domain specific language like R.

  • Pandas does not implement significant modeling functionality outside of linear and panel regression. Instead one uses statsmodels ("estimate statistical models, and perform statistical tests") and scikit-learn ("Machine Learning in Python"), which we will look at later.

  • Look at the overview of functionality at the bottom here: http://pandas.pydata.org/#library-highlights