Setting up a Python Development Environment in Linux

Here’s how you can setup a Python development environment in Linux, the easy way!

Updated September 21, 2023

Hello and welcome to Python Help!

Today, we’re going to talk about how to set up a Python environment in Linux. Linux is a popular operating system for developers and data scientists, and setting up a Python environment in Linux is a crucial step for anyone who wants to start learning or developing with Python.

Here’s how to get started:

Check if Python is already installed

Many Linux distributions come with Python pre-installed, so the first step is to check if Python is already installed on your system.

Open a terminal and type

python --version

to check if Python is installed and which version it is.

Install Python

If Python is not already installed on your system, you can install it using your distribution package manager.

For example, on Ubuntu and other Debian-based systems, you can use the command

sudo apt-get install python3

to install Python 3. On Red Hat and other RPM-based systems, you can use the command

sudo yum install python3

to install Python 3.

Install a text editor or IDE

You’ll need a text editor or integrated development environment (IDE) to write and run Python code. There are many options, but some popular choices include Vim, Emacs, and Visual Studio Code.

Set up a virtual environment

To manage dependencies and isolate your Python environment from your system environment, it’s recommended to set up a virtual environment. This can be done using the “venv” module that comes with Python 3.

To create a new virtual environment, open a terminal and navigate to the directory where you want to create the environment.

Then, run the command

python3 -m venv myenv to create a new virtual environment named “myenv”.

You can activate the virtual environment by running the command

source myenv/bin/activate.

Install packages

Once your virtual environment is set up, you can install packages using pip, the Python package manager. To install a package, activate your virtual environment and run the command “pip install package_name”.

For example, to install the NumPy package, you would run pip install numpy.

Test your Python installation

To ensure your Python installation works correctly, open a terminal and activate your virtual environment.

Then, run the command

python --version to check the version of Python that is being used.

You can also run a simple Python program to make sure that everything is working as expected.

Enjoy Coding in Python in Linux!

And that’s it! With these steps, you should have a working Python environment on your Linux system. From here, you can start learning Python or developing your Python applications. Good luck, and happy coding!

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