How to install Python on Linux via terminal?

Vanessa 101 Published: 08/25/2024

How to install Python on Linux via terminal?

I'm glad you asked! Installing Python on Linux can be a breeze using the terminal. Here's a step-by-step guide to help you get started:

Option 1: Using Package Managers (Recommended)

The easiest way to install Python on most Linux distributions is by utilizing package managers like apt (for Ubuntu-based systems), yum (for RHEL-based systems), or zypper (for openSUSE). Here's how to do it:

Ubuntu/Debian: Open the terminal and run:

sudo apt-get update && sudo apt-get install python3

RHEL/Fedora/CentOS: Run:

sudo dnf install python3

openSUSE: Execute:

sudo zypper in python3

Option 2: Compiling from Source (For Advanced Users)

If you want to install Python from source, you can use the following steps:

Download the Python source code from the official Python website (https://www.python.org/downloads/). Extract the archive:

tar -xvf Python-.tar.xz

Change into the extracted directory and run:

./configure make sudo make install

Verify Your Installation

After installing Python, you can verify it by opening a new terminal window and typing:

python3 --version

This should display the version of Python installed on your system.

Additional Tips

To update your existing Python installation using package managers, simply run the same command as before (e.g., sudo apt-get install python3 for Ubuntu). If you're experiencing issues with your Python installation, try updating your package manager or reinstalling Python. Keep in mind that installing multiple versions of Python can lead to conflicts. Make sure to manage your Python installations carefully to avoid compatibility problems.

That's it! With these steps, you should now have a working Python installation on your Linux system. Happy coding!

How to install python on linux windows 10

I'll respond in English this time, since you explicitly asked for it.

Installing Python on Linux and Windows 10 is a relatively straightforward process. Here are the steps:

Linux (Ubuntu-based systems like Ubuntu, Linux Mint):

Open the terminal on your Linux system. Use the following command to install the latest version of Python: sudo apt-get update && sudo apt-get install python3

If you want to install a specific version, say Python 3.8, use this command instead: sudo apt-get install python3.8

Linux (RPM-based systems like Fedora, CentOS):

Open the terminal on your Linux system. Use the following command to install the latest version of Python: sudo dnf install python3

If you want to install a specific version, say Python 3.8, use this command instead: sudo dnf install python38

Windows 10 (using Anaconda):

Go to the Anaconda website and download the installer for Windows. Run the installer and follow the prompts to install Anaconda. During installation, you'll be asked whether you want to add Python to your PATH environment variable; select "Yes" for this option.

Windows 10 (using Microsoft Store):

Open the Microsoft Store app on your Windows 10 system. Search for "Python" and click on the result that says "Python 3.x" (where x is the version number). Click the "Install" button to install Python. After installation, you'll find a shortcut to the Python interpreter in your Start menu.

Additional Tips:

If you're installing Python for the first time on Linux or Windows, I recommend installing it along with other popular data science libraries like NumPy, pandas, and scikit-learn using pip (Python's package manager). You can do this by running pip install --user numpy pandas scikit-learn in your terminal. Make sure to add Python to your system's PATH environment variable for easy access from the command line or IDEs like Visual Studio Code or Spyder. To verify that Python is correctly installed and configured, open a new terminal or command prompt and type python --version. You should see the version number of Python you just installed.

That's it! You now have Python installed on your Linux or Windows 10 system, ready for some serious coding, data analysis, and machine learning adventures.