Notebook for Advanced Visualization, Fitting, Data Apps class at IPAC held in May 2016.
Please see INSTALL.md for installation instructions (which build upon those used for the previous Astropy tutorial).
- Linking and brushing with bokeh and Glue
- Least-squares fitting with statsmodels
- A quick machine learning example
- Displaying 300 million points from the US census with datashader
- Why data apps in Python are hard
Either git clone the repository, or click on Download ZIP and unpack the zip file.
Activate your virtual environment as above. Then, in the directory where this file and
the .ipynb files reside, do:
jupyter notebook
A web browser will pop up. You can start each notebook by clicking on its link.