Presentation for the University of Connecticut SIAM Workshop as a brief introduction to the modules used in data analytics and machine learning in Python.
The material assumes ability to use the command line / terminal. Some things may require you to use the terminal, but in some cases you may use a graphical user interface instead.
The slides for "Further Topics in Python" is based around tutorials, guides, and other slides I found online. I think they should be very useful to helping you get onboard with using Python as your data analytics weapon on choice!
Note: Lecture-4-Matplotlib.ipynb in my repository is a slightly modified version of the one by Robert Johansson, who created an exceptional lecture series in jupyter notebooks for python in data science.
Reynaldo Morillo
Computer Science & Engineering
University of Connecticut
reynaldo.morillo@uconn.edu