readme upd

README.md

@@ -19,7 +19,9 @@ Cite using :
 DOI: 10.5281/zenodo.2594690
 
 # Pip installation with :
+```
 pip install impetuous-gfa
+```
 
 # Version controlled installation of the Impetuous library
 
@@ -29,11 +31,15 @@ In order to run these code snippets we recommend that you download the nix packa
 
 https://nixos.org/download.html
 
+```
 $ curl -L https://nixos.org/nix/install | sh
+```
 
 If you cannot install it using your Wintendo then please consider installing Windows Subsystem for Linux first:
 
+```
 https://docs.microsoft.com/en-us/windows/wsl/install-win10
+```
 
 In order to run the code in this notebook you must enter a sensible working environment. Don't worry! We have created one for you. It's version controlled against python3.7 and you can get the file here:
 
@@ -41,10 +47,43 @@ https://github.com/richardtjornhammar/rixcfgs/blob/master/code/environments/impe
 
 Since you have installed Nix as well as WSL, or use a Linux (NixOS) or bsd like system, you should be able to execute the following command in a termnial:
 
+```
 $ nix-shell impetuous-shell.nix
+```
 
 Now you should be able to start your jupyter notebook locally:
 
+```
 $ jupyter-notebook impetuous_finance.ipynb
+```
 
 and that's it.
+
+# Usage example 1 : elaborate informatics example
+
+code: https://gitlab.com/stochasticdynamics/eplsmta-experiments
+docs: https://arxiv.org/pdf/2001.06544.pdf
+
+# Usage example 2 : simple code example
+
+Now while in a good environment: In your Jupyter notebook or just in a dedicated file.py you can write the following:
+
+```
+import pandas as pd
+import numpy as np
+
+import impetuous.quantification as impq
+
+adf = pd.read_csv( 'analytes.csv' , '\t' , index_col=0 )
+jdf = pd.read_csv( 'journal.csv'  , '\t' , index_col=0 )
+
+res_dfs = impq.run_rpls_regression ( adf , jdf , 'S ~ C(industry)' , owner_by = 'angle' )
+
+print ( res_dfs )
+```
+
+# Manually updated code backups for this library :
+
+GitLab:	https://gitlab.com/richardtjornhammar/impetuous
+CSDN:	https://codechina.csdn.net/m0_52121311/impetuous
+