Setting Up A Python Development Environment On Linux

Setting Up a Python Development Environment on Linux


Python is a versatile and widely used programming language for various applications. Setting up a development environment on Linux allows developers to efficiently write, test, and debug Python code. Here are the essential steps to establish a robust Python development environment:


Install Python:


  • To install Python, open a terminal window and enter the following command:
    sudo apt-get install python3
  • This command should install Python 3 on your system.

Install a Virtual Environment:

  • A virtual environment allows for isolation and management of Python packages and libraries. Use pip to install virtualenv:
    sudo apt-get install python3-venv
  • Create a virtual environment for your project:
    cd ~/Projects
    python3 -m venv <virtualenv_name>

Activate the Virtual Environment:

  • Activate the virtual environment to access its isolated package repository:
    source <virtualenv_name>/bin/activate

Install Python Packages:

  • Use pip within the activated virtual environment to install necessary packages:
    pip install django

Create a Project Directory:

  • Create a new directory for your Python project:
    mkdir python_project && cd python_project

Initialize a Git Repository (Optional):

  • If desired, initialize a Git repository to track code changes:
    git init

Create a Python Application:

  • Create a Python file (e.g., app.py) and start coding your application:
    # app.py
    print("Hello, Python!")

Run Your Code:

  • Run your Python application using the following command:
    python3 app.py

Debug Your Code:

  • To debug your code, use pdb:
    import pdb; pdb.set_trace()
  • This breakpoint will allow interactive debugging within the terminal window.

Deactivating the Virtual Environment:

  • Once finished with the virtual environment, deactivate it by entering:

Additional Tips:

  • Use an IDE (e.g., PyCharm, VSCode) for enhanced code editing and debugging features.
  • Learn a version control system (e.g., Git) for versioning and collaborating on code projects.
  • Set up a web framework (e.g., Django, Flask) for developing web applications.
  • Consult the Python documentation for further details and references.## [Setting Up A Python Development Environment On Linux]

Executive Summary

Setting up a Python development environment on Linux is essential for developers who want to create and run Python applications efficiently. This guide provides a comprehensive overview of the steps involved in setting up a Python development environment on Linux, covering essential components like Python installation, IDE selection, version management, and package management. By following these steps, developers can establish a robust and productive environment for developing Python applications.


Python, a versatile and widely used programming language, has gained immense popularity in various domains, including web development, data analysis, machine learning, and scripting. To harness the full potential of Python, developers need a well-configured development environment that supports Python development and execution effectively. This guide aims to provide a detailed understanding of the key components and steps involved in setting up a Python development environment on Linux operating systems.

Python Installation

1. Package Managers

  • apt (Debian/Ubuntu): Use sudo apt update && sudo apt install python3 to install Python 3.
  • yum (Red Hat/CentOS): Run sudo yum update && sudo yum install python3 to install Python 3.

2. Manual Installation

  • Download the Python source from the official website and unpack it.
  • Run ./configure, make, and sudo make install to compile and install Python.

IDE Selection

1. Visual Studio Code

  • Popular cross-platform IDE with Python support, IntelliSense, and debugging tools.
  • Supports Python extensions for enhanced functionality.

2. PyCharm

  • Comprehensive IDE specifically designed for Python development.
  • Offers code navigation, refactoring, testing, and debugging features.

Version Management

1. Virtual Environments

  • Isolate different Python versions and packages for multiple projects.
  • Use python3 -m venv venv to create a virtual environment.

2. Virtualenvwrapper

  • Manage multiple virtual environments conveniently.
  • Enables quick environment switching and automatic environment activation.

Package Management

1. pip

  • Default package manager for Python, used to install and manage Python packages.
  • Use pip3 install package_name to install packages.

2. Conda

  • Cross-platform package manager that also handles environment management.
  • Useful for installing packages and their dependencies.


Setting up a Python development environment on Linux involves installing Python, selecting an IDE, managing Python versions, and handling package management. By following the steps outlined in this guide, developers can establish a robust and productive environment that meets their Python development needs. Understanding the key components and best practices associated with Python development environments empowers developers to create and execute Python applications efficiently and effectively.

Keyword Phrase Tags

  • Python development environment
  • Linux development environment
  • Setting up Python
  • Python IDE
  • Package management for Python
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Comments 12
  1. Python is a great language for web development, and it is easy to see why it is so popular with the web community. It is a simple and powerful and it is easy to learn, and there are a lot of resources available to help you learn it. It is also very versatile, and you can use it to create a wide variety of applications. Python is a great choice for web development.

  2. Your blog post is amazing. I have never seen a blog post with so much information and so well organized. Clear presentation, friendly language, and very easy to understand. I have nothing bad to say about it. Congratulations and keep up the good work. :clap::clap::clap:

  3. I really don’t understand what was the point of this article. Are you tring to tell novis developers the basics of Python? In that case, you failed miserably to do so. Or are you trying to show them a set up in Linux? That’s not very helpfull either. Finally, your writing style is boring. Needs improvement.

  4. As you probably know, most of the APIs you can use for Linux are available for Windows too. That also includes Python. Therefore, I wouldn’t recommend a Linux development enviroment when developing for Linux. As a matter of fact, many times, Python doesn’t even need an API to be used on Linux! 🙂

  5. Long time ago, I would have found this post very usefull, but not today. The amazing world of the web moves so fast that this post is totally outdated. Today, there are better development enviroments for Python, even in Linux. Too bad for the lost time.

  6. There are lots of resources out there that talk about the same thing as your post, but your post is by far the most complete I have seen on the web. Excellent work!

  7. Not only it is a good post, it shows in a clear way how to to set up a Python development environment on Linux. Great!

  8. Actually, the most important thing when developing in Linux is not to install Python but to first install a package manager like Yum or Apt. After that, you can easily install all the packages you need with just one command. Without it, life would be miserable.

  9. Dear Watson, I have to say that the post has a couple mistakes that need to be corrected. First, you forgot to mention that Python is an interpreted language. Second, you say that it is a compiled language, but that’s not correct.

  10. Hey, you forgot to mention that you can also use a virtual environment to set up a Python development environment. It is a very good practice that is highly recommended.

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