Environment Variables Visual Studio Code for Mac with Python Jupyter
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Certainly! Configuring environment variables in Visual Studio Code for Mac when working with Python and Jupyter is an essential step for managing project settings, API keys, and other sensitive information. This tutorial will guide you through the process with detailed steps and code examples.
Ensure you have the Python extension installed in Visual Studio Code. You can do this by going to the Extensions view (View Extensions) and searching for "Python." Install the one provided by Microsoft.
Create a new Python Jupyter Notebook or open an existing one. You can create a new notebook by selecting File New File and choosing the "Python 3" option.
Open the integrated terminal in Visual Studio Code by selecting View Terminal or using the shortcut Ctrl + ` (backtick).
python-dotenv is a Python module that allows you to read variables from a .env file into your environment. Install it using the following command in the terminal:
Create a file named .env in the root of your project. This file will store your environment variables. Add your variables in the following format:
Replace your_api_key and your_secret_key with your actual API key and secret.
In your Jupyter Notebook, add the following code to load the environment variables:
Run your Jupyter Notebook. You should see the API key and secret key printed in the output, confirming that the environment variables are successfully loaded.
You've successfully configured environment variables in Visual Studio Code for Mac when working with Python Jupyter. This practice helps keep sensitive information secure and separate from your code, making it easier to manage and share your projects.
Feel free to adapt these steps to your specific project needs and extend the use of environment variables for other configurations in your development environment.
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