Yes, you can run two Jupyter notebooks at the same time. Running multiple Jupyter notebooks simultaneously can be useful when you want to work on different projects or tasks simultaneously without interfering with each other. In this article, I will discuss how you can run two Jupyter notebooks concurrently, providing step-by-step instructions along with personal insights and commentary.
Prerequisites
Before we dive into running multiple Jupyter notebooks, make sure you have Jupyter installed on your system. You can install it using pip by running the following command in your terminal:
pip install jupyter
Step 1: Launch the First Jupyter Notebook
To begin, open your terminal or command prompt and navigate to the directory where you want to create your first Jupyter notebook. Once you are in the desired directory, type the following command:
jupyter notebook
This will launch the Jupyter notebook server and open a web browser window with the Jupyter dashboard. You can now see all your files and folders in the directory.
Step 2: Create and Run the First Notebook
To create a new notebook, click on the “New” button on the top right corner of the Jupyter dashboard and select “Python 3” under the “Notebooks” section. This will create a new notebook with the extension “.ipynb”.
Once your notebook is created, you can start writing code in the code cells. To run a code cell, you can either click the “Run” button in the toolbar or press “Shift + Enter” on your keyboard. The output of the code will be displayed below the cell.
Step 3: Launch the Second Jupyter Notebook
Now that we have our first Jupyter notebook up and running, let’s open a second one. Open a new terminal or command prompt window and navigate to another directory where you want to create your second Jupyter notebook.
Once you are in the desired directory, type the command:
jupyter notebook
Similar to the first notebook, this command will launch a new Jupyter notebook server and open a web browser window with the Jupyter dashboard. You can see the files and folders specific to this directory.
Step 4: Create and Run the Second Notebook
Follow the same steps as in Step 2 to create a new notebook in the second Jupyter notebook instance. Click on the “New” button and select “Python 3” under “Notebooks”.
Once your second notebook is created, you can write and execute code just like in the first notebook. The code execution and output will be independent of the first notebook.
It’s important to note that the two Jupyter notebooks are running in separate instances and do not share variables or runtime environments. This means that changes made in one notebook will not affect the other, allowing you to work on different projects simultaneously.
Conclusion
Running two Jupyter notebooks at the same time is a convenient way to multitask and work on multiple projects simultaneously. By following the steps outlined in this article, you can easily launch and run multiple Jupyter notebooks without any conflicts. The ability to work on different notebooks independently provides flexibility and efficiency in your coding workflow.