

venv/bin/activate # Windows py -3 -m venv. venv/bin/activate # macOS python3 -m venv. venv based on your current interpreter: # Linux sudo apt-get install python3-venv # If needed python3 -m venv. In that folder, use the following command (as appropriate to your computer) to create a virtual environment named. On your file system, create a project folder for this tutorial, such as hello_django. A virtual environment also makes it easy to Create a requirements.txt file for the environment. Using a virtual environment avoids installing Django into a global Python environment and gives you exact control over the libraries used in an application.

In this section, you create a virtual environment in which Django is installed. If the Python interpreter's folder isn't included, open Windows Settings, search for "environment", select Edit environment variables for your account, then edit the Path variable to include that folder.Ĭreate a project environment for the Django tutorial You can check the location by running path at the command prompt. On Windows, make sure the location of your Python interpreter is included in your PATH environment variable. (All operating systems) A download from Anaconda (for data science purposes).(macOS) An installation through Homebrew on macOS using brew install python3 (the system install of Python on macOS is not supported).(Linux) The built-in Python 3 installation works well, but to install other Python packages you must run sudo apt install python3-pip in the terminal.


You create this app in the context of Visual Studio Code in order to understand how to work with Django in the VS Code terminal, editor, and debugger. In this Django tutorial, you create a simple Django app with three pages that use a common base template. Django includes rich support for URL routing, page templates, and working with data.
