Guide on Installing JupyterLab in Ubuntu 24.04
In the realm of data science and scientific computing, JupyterLab has become a popular choice for its extensible, modular IDE-like experience. This article will guide you through the process of installing and setting up JupyterLab on Ubuntu 24.04.
**Step 1: Install Python and pip** (if not already installed)
Begin by updating the package list:
```bash sudo apt-get update ```
Next, install Python3 and pip:
```bash sudo apt install python3 python3-pip -y ```
**Step 2: Install JupyterLab using pip**
Install JupyterLab and its dependencies:
```bash pip3 install jupyterlab ```
**Step 3: Update PATH environment variable**
Ensure the JupyterLab executable is found by editing the `~/.bashrc` file:
```bash nano ~/.bashrc ```
Add this line at the bottom:
```bash export PATH=$PATH:~/.local/bin/ ```
Reload the `.bashrc` changes:
```bash source ~/.bashrc ```
**Step 4: Run JupyterLab locally to test**
Start the server accessible on all interfaces without opening a browser:
```bash jupyter lab --allow-root --ip=0.0.0.0 --no-browser ```
This command will display URLs with tokens for access. Press `CTRL+C` to stop the server once tested successfully.
**Step 5: Access JupyterLab on your browser**
Use your server's IP (or localhost if local) to access JupyterLab:
``` http://your-server-ip:8888 ```
Provide the token or password if prompted to log in and reach the JupyterLab dashboard.
**Step 6: Optional: Create a systemd service**
To run JupyterLab as a background service on system startup, you can create a systemd service file and configure it accordingly.
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**Additional Notes:**
- Ubuntu 24.04 comes with Python 3.12.3 by default, ensuring compatibility with JupyterLab. - For advanced scenarios such as GPU support or multi-user setups with Docker, consider using JupyterHub with Docker and NVIDIA container toolkit. - JupyterLab allows package management inside its environment using pip or conda commands directly from notebooks.
This procedure covers all necessary steps to successfully install and launch JupyterLab on Ubuntu 24.04. Enjoy exploring the rich features of JupyterLab for your data science and analytics pipelines, machine learning prototyping, bioinformatics research, education and training, real-time data visualization, and collaborative computing.
After setting up JupyterLab for data science and scientific computing, one can enhance their lifestyle and home-and-garden projects by integrating technology solutions. For instance, use data-and-cloud-computing techniques to optimize home energy consumption patterns or control smart home devices. This could be achieved by building a custom dashboard within JupyterLab, displaying real-time data using interactive plots and widgets. With JupyterLab's modular nature, it offers an ideal platform for prototyping and implementing these technology-driven solutions in various aspects of life.
