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scipy2015-blaze-bokeh

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Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015

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  - colormap.py
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  - world_countries.py
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- viz2.py
- AAPL.csv
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0. Test notebook.ipynb
1.1 Charts - Timeseries (solution).ipynb
1.1 Charts - Timeseries.ipynb
1.2 Plotting - Timeseries (solution).ipynb
1.2 Plotting - Timeseries.ipynb
1.3 Plotting - Worldmap (solution).ipynb
1.3 Plotting - Worldmap.ipynb
1.4 Plotting - Climate (solution).ipynb
1.4 Plotting - Climate.ipynb
1.5 Glyphs - Legend (solution).ipynb
1.5 Glyphs - Legend.ipynb
1.6 Layout (solution).ipynb
1.6 Layout.ipynb
1.7 Animate (solution).ipynb
1.7 Animate - optional (solutions).ipynb
1.7 Animate - optional 2 (solutions).ipynb
1.7 Animate - optional 2.ipynb
1.7 Animate - optional.ipynb
1.7 Animate.ipynb
1.8 Animate Widgets.ipynb
2. Blaze (solutions).ipynb
2. Blaze.ipynb
__init__.py
animate.py
animate_widgets.py
check_env.py
environment.yml
Example - Chart.ipynb
full_plot.py
LICENSE
README.md
viz.py
viz2.py

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# Blaze and Bokeh tutorial, SciPy 2015

Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015

# Setup

```
git clone https://github.com/chdoig/scipy2015-blaze-bokeh.git
cd scipy2015-blaze-bokeh
```

- **Option A: Anaconda**

If you don't have Anaconda installed, you can install it from [here](https://store.continuum.io/cshop/anaconda/).
After following the instructions, you should be ready to go. Check it with:

```
python check_env.py
```

If you already have Anaconda installed, make sure to update both conda and the dependencies
to the latest versions, by running:

```
conda update conda
conda install bokeh=0.9
conda install blaze=0.8
conda install ipython=3.2
conda install netcdf4
```

- **Option B: Miniconda or Conda Environments**

If you want one the following:

- a lightweight alternative to Anaconda, you can install Miniconda from 
[here](http://conda.pydata.org/miniconda.html).

or 
- isolate this scipy tutorial dependencies from your default Anaconda by using conda environments.

Follow this commands after cloning this repository:

```
cd scipy2015-blaze-bokeh
conda env create
```

If you are running Linux or OS X run:

```
source activate scipy-tutorial
```

If you are running Windows, run:

```
activate scipy-tutorial
```

# Testing

Make sure you have the right environment setup by running the following script:

```
python check_env.py
```

Also, try to run the testing notebook (0 - Test Notebook.ipynb):

```
ipython notebook
```

and run all the cells.

# Data

This tutorial will be using datasets from the following projects:

- [Berkeley Earth](http://www.berkeleyearth.org)
- [Sean Lahman Baseball](http://www.seanlahman.com/baseball-archive/statistics/)

For your convenience I have uploaded the datasets we are going to use directly to s3. Download the datasets *before* attending the tutorial from:

- https://s3.amazonaws.com/scipy-blaze-bokeh/Land_and_Ocean_LatLong1.nc ~400MB
- https://s3.amazonaws.com/scipy-blaze-bokeh/lahman2013.sqlite ~50MB

Move those datasets to the folder ``~/scipy2015-blaze-bokeh/data``

# Resources

- [Slides](http://chdoig.github.com/scipy2015-blaze-bokeh)

- Docs:

+ [Bokeh](http://bokeh.pydata.org/en/latest/)
    + [Blaze](http://blaze.pydata.org/en/latest/)
    + [Odo](http://odo.readthedocs.org/en/latest/)