JupyterLab is an open-source, web-based interactive development environment for notebooks, code, and data. It is widely used by data scientists and developers for interactive computing and data analysis. In this guide, we will walk you through the steps to install JupyterLab on Rocky Linux 9. Hosting JupyterLab on a WindowsVPS provides the performance and scalability needed to handle complex computations and data analysis tasks using a powerful VPS server.

Step 1: Update Your VPS Server

Before installing JupyterLab, ensure your VPS server is up to date. Run the following commands to update your Rocky Linux 9 system:

sudo dnf update -y

Running JupyterLab on a WindowsVPS ensures that you benefit from dedicated resources like CPU and memory, providing the best performance for data science workloads.

Step 2: Install Python and Pip

JupyterLab requires Python to run. Install Python 3 and pip, the package manager for Python:

sudo dnf install python3 python3-pip -y

After installation, verify the installation of Python and Pip:

python3 --version
pip3 --version

Step 3: Install JupyterLab

Once Python and Pip are installed, you can install JupyterLab using pip. Run the following command:

pip3 install jupyterlab

This will install JupyterLab and its dependencies. Depending on your server’s resources, the installation may take a few minutes.

Step 4: Configure JupyterLab

Once JupyterLab is installed, you can configure it to run on your VPS server. First, generate a default configuration file by running:

jupyter lab --generate-config

This will create a configuration file at ~/.jupyter/jupyter_lab_config.py. Open this file to configure JupyterLab:

nano ~/.jupyter/jupyter_lab_config.py

To allow JupyterLab to be accessed from any IP address (useful for remote access), add or uncomment the following line:

c.ServerApp.ip = '0.0.0.0'

If you want to run JupyterLab without a token or password (not recommended for production), add the following line:

c.ServerApp.open_browser = False

To set a password for JupyterLab, you can generate a password hash using the following command:

python3 -c "from notebook.auth import passwd; print(passwd())"

Add the generated hash to the configuration file under the following line:

c.ServerApp.password = 'your_password_hash'

Step 5: Start JupyterLab

Now that JupyterLab is configured, you can start it using the following command:

jupyter lab

JupyterLab will start and display a link to access it from a web browser. By default, JupyterLab runs on port 8888. You can access JupyterLab by navigating to:

http://your-server-ip:8888

Step 6: Configure Firewall for JupyterLab

If you have a firewall enabled on your VPS, you will need to allow traffic on port 8888 for JupyterLab to be accessible remotely. Run the following commands to open the necessary port:

sudo firewall-cmd --permanent --add-port=8888/tcp
sudo firewall-cmd --reload

Step 7: Run JupyterLab as a Background Service

To keep JupyterLab running even after you log out of the VPS, you can run it as a background service using tmux or screen. Alternatively, you can create a systemd service. First, create a systemd service file:

sudo nano /etc/systemd/system/jupyterlab.service

Add the following content to the file:

[Unit]
Description=JupyterLab

[Service]
Type=simple
PIDFile=/run/jupyter.pid
ExecStart=/usr/local/bin/jupyter-lab --config=/home/your_user/.jupyter/jupyter_lab_config.py
User=your_user
Group=your_group
WorkingDirectory=/home/your_user
Restart=always

[Install]
WantedBy=multi-user.target

Save the file, then reload systemd and start the service:

sudo systemctl daemon-reload
sudo systemctl start jupyterlab
sudo systemctl enable jupyterlab

Step 8: Optimize Your VPS Server for JupyterLab

Running JupyterLab on a WindowsVPS ensures that your data science environment benefits from dedicated resources. A VPS server provides the necessary CPU, memory, and storage to handle data-intensive tasks like machine learning, data analysis, and scientific computing. With a VPS, you can scale resources as your projects grow, ensuring smooth and efficient performance.

Conclusion

JupyterLab is a powerful tool for data science and interactive computing, and by following this guide, you can easily install it on Rocky Linux 9. Hosting your JupyterLab environment on a WindowsVPS ensures that your projects have the performance, scalability, and reliability needed to handle complex data workloads.

For more information about VPS hosting and optimizing your JupyterLab setup, visit WindowsVPS today.