Updated `Documentation`, testing babel commands.

Documentation.org

@@ -231,7 +231,7 @@ def select_Xi_parsimony_sweep(msindy):
 #+end_src
 
 #+NAME: simo_IDCL_c0
-#+begin_src python :noweb strip-export :exports none :tangle ./simo_IDCL_c0.py :results file :return filepath
+#+begin_src python :noweb strip-export :exports both :tangle ./simo_IDCL_c0.py :results file :return filepath
 cluster=0
 
 <<simo_IDCL_sindy_header>>
@@ -254,7 +254,7 @@ filepath = plot_clusterModels(
 #+end_src
 
 #+NAME: simo_IDCL_c1
-#+begin_src python :noweb strip-export :exports none :tangle ./simo_IDCL_c1.py :results file :return filepath
+#+begin_src python :noweb strip-export :exports both :tangle ./simo_IDCL_c1.py :results file :return filepath
 cluster=1
 <<simo_IDCL_sindy_header>>
 simspec = dict(system='SIMO',
@@ -291,7 +291,7 @@ filepath = plot_clusterModels(
 #+end_src
 
 #+NAME: simo_IDCL_cosimulate_ID_c0
-#+begin_src python :results file :exports results :return filename :tangle ./simo_IDCL_cosimulate_ID_c0.py :noweb yes
+#+begin_src python :results file :exports both :return filename :tangle ./simo_IDCL_cosimulate_ID_c0.py :noweb yes
 import copy
 import numpy as np
 
@@ -354,7 +354,7 @@ filename = plot_sns(
 #+end_src
 
 #+NAME: one_step_prediction_surface
-#+begin_src python :tangle ./one_step_prediction_surface.py :exports results :results file :return filepath :noweb yes
+#+begin_src python :tangle ./one_step_prediction_surface.py :exports both :results file :return filepath :noweb yes
 <<paper_simulation_header>>
 <<paper_simulation_class>>
 <<paper_prosumerDynamics>>

README.org

-#+TITLE: README:
 * Description
 Code utilized to generate the results in the publication "Prosumer Response Estimation using SINDyc in conjunction with Markov-chain Monte-Carlo Sampling" (see Section [[Reference paper]]).
-* TODO Prerequisites
+* Prerequisites
+- Tested on a UNIX-based system. For the usage on MS-Windows® replace all =./= with =.\= [fn:1]
 - python :: Tested with version =3.7.7=.
   - numpy :: https://pypi.org/project/numpy/. Tested with version =1.18.5=.
   - pandas :: https://pypi.org/project/pandas/. Tested with version =1.0.5=.
@@ -10,15 +10,16 @@ Code utilized to generate the results in the publication "Prosumer Response Esti
   - pySINDy :: https://github.com/luckystarufo/pySINDy/.
     - Recent package version, untested :: https://github.com/dynamicslab/.
 * TODO Installation
-* TODO License
+Install python for your
+* License
 This code is licensed under the MIT license. See the =License= statement in this directory.
 * Reference paper
 #+BEGIN_QUOTE
 Banis, F.; Madsen, H.; Poulsen, N.K.; Guericke, D. Prosumer Response Estimation Using SINDyc in Conjunction with Markov-Chain Monte-Carlo Sampling. Energies 2020, 13, 3183.
 #+END_QUOTE
 * Miscellaneous
-Formatted using =black= [fn:1].
+Formatted using =black= (https://pypi.org/project/black/).
 
 * Footnotes
 
-[fn:1] https://pypi.org/project/black/.
+[fn:1] Will be fixed in a future version of this code by usage of the =os= package.