- Added more comments
 - Removed add_h5.py which was a debug remainer
 - Restructured requirements.txt

 - Removed outdated Notebooks
 - Added a short documentation to illustrate data import/export
 - Rewrote the feature generation
 - Projects now fully work
 - A few other updates and format changes...

- Added more explanations to readme file.
- Renamed main to src

 - Processing stage is now saved in a config file (*.ini)
- Minor updates to functions

- The project is now structured by modules and scripts, rather than 
processing steps. This makes it easier to import modules from other 
steps and also to create an all inclusive main file.

- Added a first base for feature generation
- Changed the preparation_main script to use all files in the 
ExampleData folder

 - Added functionality to split an experiment into sets.
 - Automatically omit small sets when they are too short.
 - Subsets are now created from the sets.
 - The RAM usage per feature is estimated using the specified window 
parameters and np.nbytes().
 - preparation_main.py showcases the use of the preparation functions.
 - A documentation of the data preparation is available in the 
Jupyter-Notebook.
 - Added some hdf5 functionality for slicing and reading/writing 
dictionaries (partially from 
https://gitext.gfz-potsdam.de/analab-code/rst-stick-slipy).

 - Changed the URL of the figure, now displays correctly

 - Added git-ignorelist
 - Added a todo list
 - Added a document describing the terminology
 - Added a first notebook and module for data preparation