These__Python Snippets__ are tested with Python 3.5.x. (http://conda.pydata.org/)

These__Python Snippets__ are tested with Python 3.5.x. All snippets are

available as Jupyter notebooks (http://jupyter.org/).

To get started create a virtual environment and install the required packages.

The following example shows how to create an environment with_conda_ and Python 3.5 with

The following example shows how to create an environment with

_"virtualenv"_ (https://virtualenv.pypa.io/)

and Python 3.5 with the required packages.

virtualenv --python=/usr/bin/python3.5 py35-ps

source py35-ps/bin/activate

pip install -r requirements.txt

The following example shows how to create an environment with_"conda"_

(http://conda.pydata.org/) and Python 3.5 with

the required packages.

conda create -n py35-ps python=3.5 -f requirements.txt

conda create -n py35-ps python=3.5

source activate py35-ps

pip install -r requirements.txt

The snippets are organized by topic.

__GeoJSON__

-[GeoJSON Example - Stations](geojson/geojson_stations.ipynb)

"metadata": {},

"source": [

"# Parse a RSS feed with feedparser\n",

"In this Pythonsnippte we use the feedparser package to parse a RSS feed from 'Medium'.\n",

"In this Pythonsnippet we use the feedparser package to parse a RSS feed from 'Medium'.\n",

]

},

" print('-->', urls[0], '\\n')\n",

]

},

{

"cell_type":"code",

"execution_count":null,

"metadata": {

"collapsed":true

},

"outputs": [],

"source": []

}

],

"metadata": {

"kernelspec": {

"display_name":"Python3",

"display_name":"Python2",

"language":"python",

"name":"python3"

"name":"python2"

},

"language_info": {

"codemirror_mode": {

"name":"ipython",

"version":3

"version":2

},

"file_extension":".py",

"mimetype":"text/x-python",

"name":"python",

"nbconvert_exporter":"python",

"pygments_lexer":"ipython3",

"version":"3.5.2"

"pygments_lexer":"ipython2",

"version":"2.7.12"

}

},

"nbformat":4,