complete revise the architecture

Author: hnlearndev

.gitignore

@@ -1,4 +1,4 @@
-# Exclude results
+# Exclude results folders
 /src/results/
 /src/result/
 /results
@@ -58,11 +58,14 @@ notebooks/.ipynb_checkpoints/
 notebooks/.marimo_checkpoints/
 
 # Ignore data/output folders and files in notebooks/
+notebooks/result/
 notebooks/results/
 notebooks/output/
+notebooks/outputs/
 notebooks/*.parquet
 notebooks/*.csv
-
 notebooks/archived
+
+# Ruff cache
 .notebooks/.ruff_cache/
 .ruff_cache/

README.md

@@ -2,17 +2,16 @@
 
 ## About The Project
 
-Some notes:
+**Some notes**:
 
 - The main reference is [Basic term S](https://lifelib.io/libraries/basiclife/BasicTerm_S.html). Model S, M and SC are basically the same.
-- term_sm.ipynb Jupyter Notebook is only for reference, not an actual implementation. There is a limitation with Rust Kernel in Jupyter lab that lazyframe technology cannot work properly for querying.
+- Post run analysis is stored at [notebooks](notebooks) folder. This is a [Marimo Notebook](https://marimo.io/) notebook. Its purpose is to explain a practical smoothing technique after crude premium calculation is performed by Rust model. The method is  reproducible and  reduces labor intensity from manual practise.
 
-What can be taken out from this repo?
+**What can be taken out from this repo?**
 
 - The project introduces the implementation of Rust language and its latest dataframe technology to support actuarial work.
 - The project also shows that spreadsheet, although being convinient, is not the best suited tool to handle full projections which might consist of millions records even for the most basic products.
 
-
 ## Getting started
 
 ### Rust installation