Install guide

The materials for the workshop and all software packages have been tested on Python 2 and 3 on the following three platforms:

• Linux (Ubuntu-Mate x64)
• Windows 10 (x64)
• Mac OS X (10.11.5 x64).

The workshop depends on the following libraries/versions:

• numpy>=1.11
• pandas>=0.18.1
• matplotlib>=1.5.1
• jupyter>=1.0
• seaborn>=0.7.0
• pip>=8.1.2
• geopandas>=0.2
• pysal>=1.11.1
• cartopy>=0.14.2
• pyproj>=1.9.5
• shapely>=1.5.16
• geopy>=1.10.0
• scikit-learn>=0.17.1
• bokeh>0.11.1
• mplleaflet>=0.0.5
• datashader>=0.2.0
• geojson>=1.3.2
• folium>=0.2.1
• statsmodels>=0.6.1
• xlrd>=1.0.0
• xlsxwriter>=0.9.2

Linux/Mac OS X

1. Install Anaconda
2. Get the most up to date version:

> conda update conda

1. Add the conda-forge channel:

> conda config --add channels conda-forge

1. Create an environment named gds-scipy16:

> conda create --name gds-scipy16 python=3 pandas numpy matplotlib bokeh seaborn scikit-learn jupyter statsmodels xlrd xlsxwriter

1. Install additional dependencies:

> conda install --name gds-scipy16 geojson geopandas==0.2 mplleaflet==0.0.5 datashader==0.2.0 cartopy==0.14.2 folium==0.2.1

1. To activate and launch the notebook:

> source activate gds-scipy16

> jupyter notebook

Windows

1. Install Anaconda3-4.0.0-Windows-x86-64
2. open a cmd window
3. Get the most up to date version:

> conda update conda

1. Add the conda-forge channel:

> conda config --add channels conda-forge

1. Create an environment named gds-scipy16:

> conda create --name gds-scipy16 pandas numpy matplotlib bokeh seaborn statsmodels scikit-learn jupyter xlrd xlsxwriter geopandas==0.2 mplleaflet==0.0.5 datashader==0.2.0 geojson cartopy==0.14.2 folium==0.2.1

1. To activate and launch the notebook:

> activate gds-scipy16

> jupyter notebook

Testing

Once installed, you can run the notebook test.ipynb placed under content/infrastructure/test.ipynb to make sure everything is correctly installed. Follow the instructions in the notebook and, if you do not get any error, you are good to go.

Support

If you have any questions or run into problems, you can open a GitHub issue on the projec repository:

https://github.com/darribas/gds_scipy16

Alternatively, you can contact Serge Rey or Dani Arribas-Bel.