If you don't have Homebrew installed on your Macbook, you can install Homebrew on your MacOSX and then use it to install Python 3.8 on your machine. We will use Homebrew to install Python 3.8 and will then move on to creating a virtual environment. So to set up a virtual environment, we won't be using virtualenv or virtualenvwrapper module, which are the most popular to set up a virtual environment.īut we will be using the venv module which comes as a default with Python 3.x version and is recommended to use for virtual environment creation. You can set up a different virtual environment for each project for example if you are working on one project based on Tkinter module, or some other projects based on the Numpy module, then you can easily do this. We can have different versions of Python installed inside the virtual environment. When we have a virtual environment, then we can install new packages inside the virtual environment which will not affect the operating system's python modules. You must be thinking about why we need a virtual environment. Instead, you should set up a virtual environment for your development purpose. If you are a Mac user, you should know that Python 2.7.x comes pre-installed in your Macbook, but as that is required by your operating system, you cannot modify it or update it and I would recommend that you don't use it at all. They allow you to create a self-contained space for each project, where you can install specific versions of Python packages without worrying about conflicts with your system-wide installations.īy the end of this article, you will have a solid understanding of how to set up a Python virtual environment on your Mac and get started on your coding endeavors hassle-free. Whether you're a seasoned developer or just starting your coding journey, understanding virtual environments is crucial. Setting up a virtual environment on macOS can seem like a daunting task, but fear not! In this article, we will guide you through the easiest way to set up a Python virtual environment on your Mac. Python virtual environments are essential tools for managing project dependencies and ensuring a clean, isolated development environment.
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