Uploaded April 2025 | Updated September 2026, 1 week ago
In this tutorial, you will learn the process of creating and activating a Python virtual environment on your Windows computer. If you’re new to Python development or want to learn how to better manage your projects and dependencies, this is the perfect video for you!
In this video, you will learn why using a virtual environment is essential for managing project dependencies. We explain the dangers of installing dependencies globally and how a virtual environment solves that problem by allowing you to manage your packages separately for each project. We will also guide you through the steps of creating a virtual environment in your project directory, ensuring a clean and conflict-free development process.
You will see how to activate and configure the virtual environment on a Windows machine and resolve potential execution policy issues that may arise when trying to activate it. If you're encountering issues with activation, we will show you how to change the execution policy settings in Windows to allow the activation command to run smoothly.
The tutorial starts with creating the project folder. We’ll create a folder on your desktop to house your Python project, and then open the folder in Visual Studio Code. After that, we’ll dive into the importance of virtual environments and why they’re crucial for maintaining clean development environments for each project.
Once we understand the benefits of virtual environments, we’ll move on to creating the environment using the command
python -m venv folder_name
where the folder name will be "venv" for this demonstration. After the virtual environment is created, we’ll show you how to activate it through the terminal and explain how to resolve any issues with the Microsoft execution policy that might prevent activation.
If you run into execution policy errors, we will provide the solution to adjust your system settings, ensuring the activation command runs properly. After activation, we will demonstrate how to install the dependencies for your Python project within the virtual environment, which keeps everything neatly separated from other projects.
Using virtual environments allows you to isolate the dependencies for each Python project, preventing conflicts between different versions of the same package. This method is essential for maintaining clean, manageable, and scalable Python projects. By following this tutorial, you’ll be able to create independent environments for each of your Python projects, making it easier to manage different dependencies and avoid version conflicts.
If you found this video helpful, please give it a thumbs up and let us know your thoughts in the comments section below! Don’t forget to subscribe for more Python tutorials and tips. Stay tuned for more tutorials on Python, programming best practices, and software development. Happy coding!
Resources:
The command for creating the virtual environment is: python -m venv venv.
To check the execution policy, use: Get-ExecutionPolicy.
To change the execution policy, run: Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy Unrestricted -Force
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In this tutorial, you will learn the process of creating and activating a Python virtual environment on your Windows computer. If you’re new to Python development or want to learn how to better manage your projects and dependencies, this is the perfect video for you!
In this video, you will learn why using a virtual environment is essential for managing project dependencies. We explain the dangers of installing dependencies globally and how a virtual environment solves that problem by allowing you to manage your packages separately for each project. We will also guide you through the steps of creating a virtual environment in your project directory, ensuring a clean and conflict-free development process.
You will see how to activate and configure the virtual environment on a Windows machine and resolve potential execution policy issues that may arise when trying to activate it. If you're encountering issues with activation, we will show you how to change the execution policy settings in Windows to allow the activation command to run smoothly.
The tutorial starts with creating the project folder. We’ll create a folder on your desktop to house your Python project, and then open the folder in Visual Studio Code. After that, we’ll dive into the importance of virtual environments and why they’re crucial for maintaining clean development environments for each project.
Once we understand the benefits of virtual environments, we’ll move on to creating the environment using the command
python -m venv folder_name
where the folder name will be "venv" for this demonstration. After the virtual environment is created, we’ll show you how to activate it through the terminal and explain how to resolve any issues with the Microsoft execution policy that might prevent activation.
If you run into execution policy errors, we will provide the solution to adjust your system settings, ensuring the activation command runs properly. After activation, we will demonstrate how to install the dependencies for your Python project within the virtual environment, which keeps everything neatly separated from other projects.
Using virtual environments allows you to isolate the dependencies for each Python project, preventing conflicts between different versions of the same package. This method is essential for maintaining clean, manageable, and scalable Python projects. By following this tutorial, you’ll be able to create independent environments for each of your Python projects, making it easier to manage different dependencies and avoid version conflicts.
If you found this video helpful, please give it a thumbs up and let us know your thoughts in the comments section below! Don’t forget to subscribe for more Python tutorials and tips. Stay tuned for more tutorials on Python, programming best practices, and software development. Happy coding!
Resources:
The command for creating the virtual environment is: python -m venv venv.
To check the execution policy, use: Get-ExecutionPolicy.
To change the execution policy, run: Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy Unrestricted -Force
Our Website
LearningLad.com
Social Media
Facebook facebook.com/LearningLad
Twitter twitter.com/LearningLadEdu
Instagram instagram.com/LearningLadOfficial
