Embedded Files
The course is presented as a series of interactive sessions which follow Jupyter Python Notebooks which contain relevant code and text. The notebooks are available from GitHub. These notebooks run on python 3 using only standard libraries such as numpy and matplotlib. We recommend Anaconda Python.
The course is presented as a series of interactive sessions which follow Jupyter Python Notebooks which contain relevant code and text. The notebooks are available from GitHub. These notebooks run on python 3 using only standard libraries such as numpy and matplotlib. We recommend Anaconda Python.
The notebooks were written by Jeff McMahon, Renee Hlozek, Mat Madhavacheril, Sigurd Naess, and Alex Van Engelen, Tom Crawford and others.
The notebooks were written by Jeff McMahon, Renee Hlozek, Mat Madhavacheril, Sigurd Naess, and Alex Van Engelen, Tom Crawford and others.
Homework before you arrive
Ensure you have python working on your laptop. We recommend the Anaconda distribution for its ease of setup. Once this is installed, ensure you have a comfortable mastery of the material covered in this notebook.
Day 3
Day 3
Advanced topics and real data
Advanced topics and real data
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