Python Data Applications

This tutorial presents how to build data driven application using Blaze, Numba, and Bokeh.

Requirements

Download archive of this repository or checkout with git

git clone https://github.com/aterrel/pydata-apps.git

Each tutorial notebook has a slightly different set of requirements. To install all the requirements from the command line try:
```
conda update conda
conda env create
source activate pydata_apps
```
Then to start working with the IPython notebooks, from the command line start as below. For each embedded app, instructions for running exist in the Python file.
```
ipython notebook
```

For those want to just follow a static notebook (not all interactive elements will work), see the following links:

Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
embedded_apps		embedded_apps
images		images
numba_tutorial		numba_tutorial
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
Section_0_Introduction.ipynb		Section_0_Introduction.ipynb
Section_1_blaze.ipynb		Section_1_blaze.ipynb
Section_1_blaze_solutions.ipynb		Section_1_blaze_solutions.ipynb
Section_2_bokeh.ipynb		Section_2_bokeh.ipynb
environment.yml		environment.yml
iris.csv		iris.csv
lahman2013.sqlite		lahman2013.sqlite