python3 -m venv env
Then activate your virtual environment and install dependencies:
pip install --upgrade pip
pip install -r requirements.txt
Activate your pre-commit hooks:
pre-commit install
And you're good to go!
In order to use this, you should be keeping track of your spending in a similar spreadsheet:It is not necessary to follow the way I do my accounting there, but it is recommended to keep columns B through G similar.
https://docs.google.com/spreadsheets/d/12sQdKVUK1-r6Wx17N34a6Qr6IMCCcL8-Bz_MTL_LS0A/edit?usp=sharingAs of now we can do the following data analyses:
1. Average over each year and the lifetime of the data
2. Medians over each year and the lifetime of the data
3. Variance over each year and the lifetime of the data
4. Standard Deviations over each year and the lifetime of the data
5. Linear Regression Analysis over each year and the lifetime of the data
It's completely up to you how you wish to use your own data.
I wanted to check how fast I can get each piece of the code running. You can check this out by running:
python performance.py
This might take several minutes, but will output a log with the time measurements for a small, medium, large, and extra large data set.