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You can run the notebook using Github Codespaces or locally:

You can use GitHub Codespaces to run this codebase in a fully configured, cloud-hosted development environment:

1. Click the green "Code" button on the main repository page.

2. Click "Open with Codespaces" and "New codespace."

3. Open up a notebook innotebooks (e.g.notebooks/01-StudentData.ipynb)

To run this codebase locally, you'll need to set up a Python virtual environment and install the necessary packages. Follow these steps:

1. Ensure you have Python installed on your system. If not, you can download it fromhere.

2. Clone this repository into your local machine using the terminal (macOS and Linux), Windows Terminal (Windows), or a GUI tool likeSourceTree orGitHub Desktop.

3. Navigate to the repository folder via your terminal.

4. Create a virtual environment. You can do this by running:

   python -m venv env

   This will create a new Python virtual environment in a folder namedenv. Note: On some systems you'll need to typepython3 rather thanpython.

5. Activate the virtual environment. On macOS and Linux, run:

   source env/bin/activate

   On Windows, run:

   .\env\Scripts\activate

6. Install the necessary packages using pip by running:

   pip install -r requirements.txt

   This will install all the packages listed inrequirements.txt to your virtual environment.

7. Launch jupyter

   jupyter lab

8. Open up a notebook innotebooks (e.g.notebooks/01-StudentData.ipynb).