.. figure:: img/event_banner.png

*Session*: **Python for Geospatial Data & Analytics** session deals with the use open-source tools in Python to access and use geospatial data in Python to
study various phenomena in urban setting. This session is part of *Utilizing Urban Digital Twin in Smart City Context* FinEst PhD School workshop held in Tallinn 25.1.2023.

After participating in the event:

- you know some of the core libraries in Python to work with geospatial data (e.g. geopandas)
- you understand the basic workflow for retrieving data via APIs to Python

.. admonition:: Interactive contents

    Each tutorial in this course can be turned into an interactive programming session in the browser.
    You can find buttons for activating the python environment using `Binder <https://mybinder.readthedocs.io/en/latest/>`__ at the top of each programming lesson.

Contents
--------

.. toctree::
   :maxdepth: 1
   :caption: Basic information
   :titlesonly:
   :hidden:

   course-info/introduction
   course-info/installing-miniconda
   course-info/License-terms
   course-info/attribution

.. toctree::
   :maxdepth: 1
   :caption: Presentations

   lessons/introduction

.. toctree::
   :maxdepth: 1
   :caption: Tutorials

   notebooks/geoprocessing/index
   notebooks/data_access/index

.. toctree::
   :maxdepth: 2
   :caption: Exercises

   exercises/exercise-1


.. toctree::
   :maxdepth: 1
   :caption: Demo

   notebooks/demo/r5py_demo.ipynb
   notebooks/demo/r5r_demo.ipynb