How to Install Jupyter Notebook on Fedora

Edited 3 weeks ago by ExtremeHow Editorial Team

FedoraJupyter NotebookPythonData ScienceInstallationSoftwareDevelopmentCommand LineTerminalProgramming

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It is widely used not only in data science but also in fields such as machine learning, scientific computing, and education due to its ability to provide an easy-to-use interactive computing environment.

Introduction to Fedora

Fedora is a popular open-source operating system used primarily by developers and system administrators for its robustness, security features, and cutting-edge technologies. As a Linux-based OS, it provides a versatile platform for a wide range of applications, making it suitable for software development, including Python programming and data science tasks.

Preparing your system

Before installing Jupyter Notebook, we need to make sure that our Fedora system is up-to-date. This helps to avoid any compatibility issues during installation. To update your system, you can follow these steps:

1. Open the terminal.
2. To update all the packages run the following command:

sudo dnf upgrade --refresh

This command updates your Fedora system to the latest available packages using DNF, which is the default package manager for Fedora.

Installing Python

The next step in preparing the system is to make sure Python is installed, as Jupyter Notebook runs on Python. Fedora usually comes with Python pre-installed, but you can check it by running the following command in the terminal:

python3 --version

If Python is installed, this command will return the Python version. Jupyter requires Python 3, so make sure you are running Python 3 or above. If Python is not installed, you can install it using:

sudo dnf install python3

This command installs Python 3 on your Fedora system.

Installing Pip

Pip is a package manager for Python that lets you install additional Python libraries or software. It is required to install Jupyter Notebook. Fedora's package repository provides a package for Pip, usually along with Python development packages. To install pip, use the following command:

sudo dnf install python3-pip

After installation, verify that Pip is installed by running the following:

pip3 --version

If the installation is successful, the command will return the version of Pip installed.

Creation of virtual environments

It is a good practice to use Python virtual environments to manage dependencies separately for different projects. This helps prevent version conflicts, especially when you are working on multiple Python projects. Here's how to set up a virtual environment:

1. Go to the directory where you want to place your virtual environment. For example:

mkdir jupyter-notebook-env cd jupyter-notebook-env

2. Create the virtual environment using the following command:

python3 -m venv myenv

3. Activate the virtual environment:

source myenv/bin/activate

When activated, the prompt will change, indicating the environment name. To deactivate, simply use the command:

deactivate

This command is important, because it takes you back to the global Python environment.

Installing Jupyter Notebook

Once your environment is set up, the next step is to install Jupyter Notebook itself. Once the virtual environment is activated, install Jupyter Notebook using pip:

pip3 install jupyter

The installation process will download all the packages and dependencies required to run Jupyter Notebook.

Running Jupyter Notebook

Once Jupyter Notebook is installed, you can start the application by running the following:

jupyter notebook

This command will start the notebook server and open your default web browser to the Jupyter Notebook interface, where you can create notebooks and work on them. By default, it uses port 8888, but it will automatically switch ports if it is already in use.

Basic usage of Jupyter Notebook

Within the Jupyter Notebook interface, you can create new notebooks, which are based on Python by default. This is essentially a webpage where you can directly write Python code and execute it. Notebooks are divided into cells that can contain code or markdown text.

# A simple Python code example in Jupyter Notebook
print("Hello, Jupyter!")

Running a cell executes the code in the interactive Python shell and displays the output below the cell. It is a powerful tool for data analysis, allowing easy visualization and interaction with data in the same environment where you write the code.

Installing additional packages

Jupyter Notebooks allow you to use additional Python packages for various functionalities. These are often important for projects such as data science work, which may require Pandas or NumPy, two libraries commonly used in such work.

To install additional packages, use pip preceded by an exclamation mark in a Jupyter notebook cell:

!pip install numpy pandas matplotlib

If the NumPy, pandas, and matplotlib libraries are not already installed in your virtual environment, this command will install them.

Security considerations

When running Jupyter notebooks, it is advisable to ensure the security of your notebooks, especially if you are running them on a shared network or server. By default, Jupyter does not require a password, which can be a security risk if accessed illegally. You can configure Jupyter to add password protection. See Jupyter's documentation for detailed instructions on securing a notebook server.

Conclusion

Once you install Jupyter Notebook on Fedora and start using it, you will find that it is an invaluable tool for any coding task involving data manipulation, statistical modeling or even simple algorithm testing. Its combination of code execution, rich text and interactivity makes it suitable for exploration, reporting and replication of analyses.

The installation and setup process for Jupyter Notebook on Fedora, although lengthy, is straightforward. Using this guide, you should have everything you need to complete the installation process.

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