Here some basic python examples that you can leverage on how to interact with U.S. Bank's apis.
To see the full list of APIs available, you can read the documentation here.
If you're using PyCharm, make sure that you have a virtual environment so that we can install python packages specific to your project.
If you're using another tool like Visual Studio Code, make sure that you create a virtual environment for your project.
Once you have your project open, make sure you install the following libraries using pip:
- requests
- python-dotenv
You can also install both of these running the command pip install -r requirements.txt (assuming you're using this project).
To see if your code is using industry standard naming conventions, you can run
pylint *.py */*.py to run the linter and have the code rated.
To build this library locally you can run the command python -m build to generate a .whl file in the dist/ folder.
If you want to use this library for your local python project, you can install it via pip by running
pip install --index-url https://test.pypi.org/simple/ --no-deps mctc-hackathon-robot297.