The attached code was created for the Introduction to Python Workshop run by the Quantitative Sciences Course Union at the University of British Columbia, Okanagan. For more information: visit http://qscu.org/
For this workshop, we recommend to use Python in the console or in a Jupyter notebook. It is as simple as running the command:
python3
For running a Python file such as the test files we wrote, you just need to add the file name to the Python command:
python3 test_qscu.py
The structure of the code given in the workshop is as follows:
├── beginner_intro.py # A document with a large amount of referencable code for introductory coding
├── read_from_api.py # The code telling how to read from the Financial Modeling Prep API (https://financialmodelingprep.com/)
.
├── qscu.py # The class that represents the shop and accesses a SQLite database
├── test_add.py # The hello world of unit testing, testing the add function
├── test_qscu.py # The tests for the qscu.py file we wrote during the workshop
.
├── IntroPython.ipynb # A notebook that condenses all of the code into one python notebook
For Jupyter Notebook users, we also have an interactive notebook covering the material.
- Kathryn Lecha - kzlecha
- Ivan Carvalho - IvanIsCoding
This project is licensed under the MIT License - see the LICENSE file for details