We recommend using the latest version of Python. Werkzeug supports Python 3.6 and newer.
Werkzeug does not have any direct dependencies.
These distributions will not be installed automatically. Werkzeug will detect and use them if you install them.
Use a virtual environment to manage the dependencies for your project, both in development and in production.
What problem does a virtual environment solve? The more Python projects you have, the more likely it is that you need to work with different versions of Python libraries, or even Python itself. Newer versions of libraries for one project can break compatibility in another project.
Virtual environments are independent groups of Python libraries, one for each project. Packages installed for one project will not affect other projects or the operating system’s packages.
Python comes bundled with the
venv module to create virtual
Create an environment¶
Create a project folder and a
venv folder within:
mkdir myproject cd myproject python3 -m venv venv
py -3 -m venv venv
Activate the environment¶
Before you work on your project, activate the corresponding environment:
Your shell prompt will change to show the name of the activated environment.
Within the activated environment, use the following command to install Werkzeug:
pip install Werkzeug