Set up a virtual env ==================== It is recommended to run your Python setup within a virtual environment. This guide shows three different examples how to create a virtual environment with pyenv virtualenv, poetry, or Anaconda. You can follow the instructions or choose your preferred setup. Python Version -------------- Flower requires at least `Python 3.9 `_, but `Python 3.10 `_ or above is recommended. .. note:: Due to a known incompatibility with `ray `_, we currently recommend utilizing at most `Python 3.11 `_ for running Flower simulations. Virtualenv with Pyenv/Virtualenv -------------------------------- One of the recommended virtual environment is `pyenv `_/`virtualenv `_. Please see `Flower examples `_ for details. Once Pyenv is set up, you can use it to install `Python Version 3.10 `_ or above: .. code-block:: shell pyenv install 3.10.12 Create the virtualenv with: .. code-block:: shell pyenv virtualenv 3.10.12 flower-3.10.12 Activate the virtualenv by running the following command: .. code-block:: shell echo flower-3.10.12 > .python-version Virtualenv with Poetry ---------------------- The Flower examples are based on `Poetry `_ to manage dependencies. After installing Poetry you simply create a virtual environment with: .. code-block:: shell poetry shell If you open a new terminal you can activate the previously created virtual environment with the following command: .. code-block:: shell source $(poetry env info --path)/bin/activate Virtualenv with Anaconda ------------------------ If you prefer to use Anaconda for your virtual environment then install and setup the `conda `_ package. After setting it up you can create a virtual environment with: .. code-block:: shell conda create -n flower-3.10.12 python=3.10.12 and activate the virtual environment with: .. code-block:: shell conda activate flower-3.10.12 And then? --------- As soon as you created your virtual environment you clone one of the `Flower examples `_.