Uploaded August 2026 | Updated September 2026, 2 weeks ago
# How to Install Python on Ubuntu 26.04 LTS Linux | Complete Step-by-Step Guide
In this complete beginner-friendly tutorial, you'll learn **how to install Python on Ubuntu 26.04 LTS** and set up your Linux system for Python programming. Python is one of the most popular programming languages in the world and is widely used for web development, automation, data science, artificial intelligence, machine learning, scripting, DevOps, cybersecurity, and software development.
Whether you're completely new to Python, a Linux beginner, a student, developer, DevOps engineer, or preparing an Ubuntu machine for programming, this tutorial will guide you through the installation process step by step.
In this video, we'll begin by explaining **what Python is and why it is commonly used on Ubuntu Linux**. You'll learn the difference between the Python interpreter, Python packages, and development tools, and understand how Python fits into the Linux development environment.
Next, we'll show you how to check whether Python is already installed on Ubuntu 26.04 LTS. Ubuntu includes Python components as part of the operating system, but you may need additional packages and tools to create a complete Python development environment.
We'll walk through the process of installing Python using the **APT package manager** and demonstrate how to verify that the installation was successful.
Topics covered in this tutorial:
* What is Python?
* Why use Python on Ubuntu?
* Checking the installed Python version
* Updating Ubuntu package repositories
* Installing Python on Ubuntu 26.04 LTS
* Installing Python development packages
* Installing pip
* Verifying the Python installation
* Running Python from the terminal
* Running your first Python command
* Creating a simple Python script
* Executing Python programs
* Understanding Python packages
* Using virtual environments
* Troubleshooting common Python installation issues
In the practical demonstration, we'll open the Ubuntu Terminal and use standard Linux commands to install the required Python packages. After installation, we'll verify Python by checking its version and launching the Python interpreter directly from the command line.
We'll also introduce **pip**, Python's package installer, and explain how it can be used to install additional libraries and dependencies for your projects.
Another important topic covered in this tutorial is **Python virtual environments**. Virtual environments allow you to create isolated Python environments for individual projects, preventing package conflicts and helping you maintain clean and manageable development setups.
You'll learn why virtual environments are useful and how they fit into a professional Python development workflow.
We'll also discuss common issues beginners may encounter, including:
* Python command not found
* pip installation problems
* Package installation errors
* Permission errors
* Python version confusion
* Virtual environment issues
Once Python is installed, your Ubuntu machine will be ready for many different development workflows. You can use it to build Python scripts, automation tools, web applications, APIs, data science projects, AI applications, and much more.
This tutorial also provides a solid foundation before installing popular Python development tools and frameworks such as **Visual Studio Code, PyCharm, Jupyter, Django, Flask, FastAPI, NumPy, Pandas, and TensorFlow**.
By the end of this tutorial, you'll know how to install Python on Ubuntu 26.04 LTS, verify the installation, install pip, create Python scripts, and prepare your Linux environment for Python development.
If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Ubuntu, Linux, Python, programming, DevOps, cloud computing, AI, and technology tutorials.
#Python #PythonInstallation #Ubuntu #Ubuntu2604 #UbuntuLinux #Linux #PythonProgramming #Python3 #Pip #VirtualEnvironment #LinuxTutorial #UbuntuTutorial #Programming #SoftwareDevelopment #DeveloperTools #DevOps #PythonDeveloper #LearnPython #LinuxForBeginners #TechTutorial
# How to Install Python on Ubuntu 26.04 LTS Linux | Complete Step-by-Step Guide
In this complete beginner-friendly tutorial, you'll learn **how to install Python on Ubuntu 26.04 LTS** and set up your Linux system for Python programming. Python is one of the most popular programming languages in the world and is widely used for web development, automation, data science, artificial intelligence, machine learning, scripting, DevOps, cybersecurity, and software development.
Whether you're completely new to Python, a Linux beginner, a student, developer, DevOps engineer, or preparing an Ubuntu machine for programming, this tutorial will guide you through the installation process step by step.
In this video, we'll begin by explaining **what Python is and why it is commonly used on Ubuntu Linux**. You'll learn the difference between the Python interpreter, Python packages, and development tools, and understand how Python fits into the Linux development environment.
Next, we'll show you how to check whether Python is already installed on Ubuntu 26.04 LTS. Ubuntu includes Python components as part of the operating system, but you may need additional packages and tools to create a complete Python development environment.
We'll walk through the process of installing Python using the **APT package manager** and demonstrate how to verify that the installation was successful.
Topics covered in this tutorial:
* What is Python?
* Why use Python on Ubuntu?
* Checking the installed Python version
* Updating Ubuntu package repositories
* Installing Python on Ubuntu 26.04 LTS
* Installing Python development packages
* Installing pip
* Verifying the Python installation
* Running Python from the terminal
* Running your first Python command
* Creating a simple Python script
* Executing Python programs
* Understanding Python packages
* Using virtual environments
* Troubleshooting common Python installation issues
In the practical demonstration, we'll open the Ubuntu Terminal and use standard Linux commands to install the required Python packages. After installation, we'll verify Python by checking its version and launching the Python interpreter directly from the command line.
We'll also introduce **pip**, Python's package installer, and explain how it can be used to install additional libraries and dependencies for your projects.
Another important topic covered in this tutorial is **Python virtual environments**. Virtual environments allow you to create isolated Python environments for individual projects, preventing package conflicts and helping you maintain clean and manageable development setups.
You'll learn why virtual environments are useful and how they fit into a professional Python development workflow.
We'll also discuss common issues beginners may encounter, including:
* Python command not found
* pip installation problems
* Package installation errors
* Permission errors
* Python version confusion
* Virtual environment issues
Once Python is installed, your Ubuntu machine will be ready for many different development workflows. You can use it to build Python scripts, automation tools, web applications, APIs, data science projects, AI applications, and much more.
This tutorial also provides a solid foundation before installing popular Python development tools and frameworks such as **Visual Studio Code, PyCharm, Jupyter, Django, Flask, FastAPI, NumPy, Pandas, and TensorFlow**.
By the end of this tutorial, you'll know how to install Python on Ubuntu 26.04 LTS, verify the installation, install pip, create Python scripts, and prepare your Linux environment for Python development.
If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Ubuntu, Linux, Python, programming, DevOps, cloud computing, AI, and technology tutorials.
#Python #PythonInstallation #Ubuntu #Ubuntu2604 #UbuntuLinux #Linux #PythonProgramming #Python3 #Pip #VirtualEnvironment #LinuxTutorial #UbuntuTutorial #Programming #SoftwareDevelopment #DeveloperTools #DevOps #PythonDeveloper #LearnPython #LinuxForBeginners #TechTutorial







![How to Install OpenAI Codex in Visual Studio Code (AI Coding Assistant Setup) (2026)
How to Install OpenAI Codex in Visual Studio Code
In this step-by-step tutorial, you’ll learn how to install and use **OpenAI Codex** inside **Visual Studio Code** to supercharge your coding workflow with AI.
OpenAI Codex is a powerful AI coding assistant that can read, write, debug, and explain code directly within your development environment. When integrated with VS Code, it becomes a seamless tool for boosting productivity and accelerating software development.
### 🚀 What You’ll Learn in This Video:
• How to install the OpenAI Codex extension in VS Code
• Sign in using your OpenAI / GitHub Copilot account
• Set up your development environment
• Connect Codex with your workspace
• Run your first AI coding prompt
• Generate and edit code using AI
• Debug and refactor code with Codex
• Troubleshoot common installation issues
### ⚙️ Step-by-Step Setup Overview:
**1. Install Visual Studio Code**
Download and install VS Code if you haven’t already.
**2. Install Codex Extension**
Go to Extensions → Search for “Codex” → Install the official extension (preview).
**3. Sign In**
Log in using your OpenAI account or GitHub Copilot (required for access). ([GitHub Docs][1])
**4. Configure Environment**
Set up your workspace and ensure required tools (Node.js, Git) are installed.
**5. Start Using Codex**
Open a project → Use command palette or sidebar → Start prompting Codex.
### 💡 Alternative Method (CLI in VS Code Terminal):
You can also install Codex CLI and use it inside the VS Code terminal:
```bash
npm install -g @openai/codex
codex
```
This runs a local AI coding agent directly in your terminal. ([OpenAI Help Center][2])
### 🔥 Benefits of Using Codex in VS Code:
• AI-powered code generation and debugging
• Works directly inside your editor
• Supports multiple programming languages
• Improves productivity and learning
• Can run locally via CLI for privacy-focused workflows
### 🎯 This Tutorial is Perfect For:
• Beginner programmers
• Professional developers
• Students learning coding
• Anyone exploring AI coding tools
By the end of this tutorial, you’ll have OpenAI Codex fully set up in VS Code and ready to help you write, debug, and optimize code faster.
If you found this tutorial helpful, don’t forget to like, subscribe, and share it with other developers.
#OpenAICodex #VSCode #AICoding #DeveloperTools #Programming #ArtificialIntelligence #CodingAssistant #SoftwareDevelopment #AIWorkflow #TechTutorial
[1]: https://docs.github.com/copilot/concepts/agents/openai-codex?utm_source=chatgpt.com OpenAI Codex - GitHub Docs
[2]: https://help.openai.com/en/articles/11096431-openai-codex-ci-getting-started?utm_source=chatgpt.com OpenAI Codex CLI – Getting Started | OpenAI Help Center How to Install OpenAI Codex in Visual Studio Code (AI Coding Assistant Setup) (2026)](https://i.ytimg.com/vi/kurkZN1o-4g/mqdefault.jpg)


