Welcome to my analysis and visualization of publicly listed π βοΈ in the United States. This will be ongoing and I will keep adding to this project when I have time.
Currently Papa John's is here, but shortly I shall be adding Domino's, as well as a comparison between the two.
I'm using JupyterLab β and work on a Debian 11 π§ installed workstation.
I actually would β€οΈ feedback. If you have anything to recommend criticize, or share, please contact me here or here through GitHub (if possible).
- Domino's analysis β
- Domino's x Papa John's analysis π§
- Price predictions π§
- Script(s) to get data β π§
- Front-end web presentation in HTML, CSS, and JavaScript possibly with React π§
- Continued analysis π§
Add nbimporter
to place your classes and functions in an external file and include/instantiate.
pip install nbimporter
Note: Whenever I make changes to classes/MyStock.ipynb
I need to restart the kernal.
- Dominos.ipynb
- PapaJohns.ipynb
Script to get stock quote data from Yahoo Finance website.
- scrape_yahoo_finance_ca.py
ipython-sql and SQLite data loaded into notebook.
- ipython-sql.ipynb