Data Science Jumpstart with 10 Projects Course

Instructions

You can run the notebook using Github Codespaces or locally:

Running in GitHub Codespaces

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 in notebooks (e.g. notebooks/01-StudentData.ipynb)

Running Locally

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 from here.

2. Clone this repository into your local machine using the terminal (macOS and Linux), Windows Terminal (Windows), or a GUI tool like SourceTree or GitHub 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 named env. Note: On some systems you'll need to type python3 rather than python.

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 in requirements.txt to your virtual environment.

7. Launch jupyter

   jupyter lab
   

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