Setting up a Python Development Environment in Linux
Here’s how you can setup a Python development environment in Linux, the easy way!
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
to check if Python is installed and which version it is.
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
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!