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    "info": {
        "author": "John Truckenbrodt",
        "author_email": "john.truckenbrodt@uni-jena.de",
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        "description": "[![Documentation Status][1]][2] [![PyPI version][11]][12]\n\n# EO-College tomography tutorial\n\nThis tutorial, developed by the [EO-College][3] learning initiative,\n explores Synthetic Aperture Radar (SAR) tomography \nwith data from DLR's [F-SAR][4] system.\nIt consists of a Python package, containing several functions for processing and displaying the data, \na Jupyter notebook and a test data set, which can be downloaded [here][5].  \nPlease follow the steps below to get started.\n\n## Installation\n\nThe following subsections describe the installation process for different operating systems.\nPlease mind that this tutorial depends on Python 3.\n\n#### Ubuntu\n\nFirst we want to install [GDAL][9] to read our data. For this we add the [UbuntuGIS][10] package \nrepository so we can install a more recent version than that supplied by Ubuntu.\nAfter this we install GDAL together with its Python bindings:\n```sh\nsudo add-apt-repository ppa:ubuntugis/ppa\nsudo apt-get update\nsudo apt-get install gdal-bin python3-gdal\n```\n\nNext we install Tkinter for graphical support:\n```sh\nsudo apt-get install python3-tk\n```\n\nAs a last step we install the tomography module including its direct Python package \ndependencies:\n\n```sh\nsudo python3 -m pip install tomography_tutorial\n```\n\n#### Windows\n\nThe easiest way to install Python and Jupyter on Windows is via [Anaconda][6]. \nPlease make sure to install the Python 3 version.  \nOnce you have installed it, please add its installation directory to the PATH environment variable. \nSee e.g. [here][7] for instructions.\nNow we can install GDAL via Anaconda's own command line installation program:\n```sh\nconda install -c conda gdal\n```\n\nFinally we can install the tutorial package:\n```sh\npython -m pip install tomography_tutorial\n```\n\n## download of tutorial test data\nPrior to starting the tutorial you need to download and unpack the data found \n[here][5].\n\n## Starting the notebook\n\nNow that everything is installed you can start the notebook via the tutorial Python module.\nIn the command prompt, start Python and execute the function [start][8]:\n```Python\nfrom tomography_tutorial import start\nstart('/your/custom/notebook.ipynb')\n```\nThis will create a custom copy of the notebook if it does not yet exist and start it in the browser.\nIf the directory in which the custom notebook is to be stored does not yet exist, it is created \nautomatically. Please mind that under Windows paths need to be separated with `\\\\` or `/`, \na single backslash will cause an error.  \nYou now have a custom version of the tutorial, \nwhich you can modify as you like and restart later via function `start`.  \nIf you want to restore the original notebook, which was delivered with the Python package, just delete \nyour custom version and run function `start` again.  \n\n## API documentation\n\nThe documentation of the package functionality which is used in the notebook can be found \n[here][2].\n\n[1]: https://readthedocs.org/projects/eocollege-tomography/badge/?version=latest\n[2]: http://eocollege-tomography.readthedocs.io/en/latest/?badge=latest\n[3]: https://eo-college.org/landingpage/\n[4]: https://www.dlr.de/hr/en/desktopdefault.aspx/tabid-2326/3776_read-5691\n[5]: https://eo-college.org/Data/Tomography/tomography_data.zip\n[6]: https://conda.io/docs/user-guide/install/windows.html\n[7]: https://www.computerhope.com/issues/ch000549.htm\n[8]: https://eocollege-tomography.readthedocs.io/en/latest/tomography.html#tomography_tutorial.functions.start\n[9]: https://www.gdal.org/\n[10]: https://wiki.ubuntu.com/UbuntuGIS\n[11]: https://badge.fury.io/py/tomography-tutorial.svg\n[12]: https://badge.fury.io/py/tomography-tutorial\n\n\n",
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