### Python 3.12 Compatible TensorFlow Version As of the latest updates, TensorFlow officially supports up to Python 3.11 for stable releases[^1]. Attempting to install TensorFlow on Python 3.12 may result in compatibility issues or installation failures due to unsupported dependencies. For users requiring TensorFlow functionality alongside newer versions of Python such as Python 3.12, it is recommended to either: - Use an earlier version of Python that is supported by TensorFlow (such as Python 3.9 or Python 3.10). - Utilize virtual environments to manage multiple Python versions specifically tailored for different projects without interfering with each other. For instance, creating a Python 3.11 environment can resolve dependency conflicts like those encountered when trying to install packages such as `pyqt6-tools` which also has limited support beyond Python 3.11[^2]. To verify whether TensorFlow installs correctly within a specific Python version, one should create a new virtual environment using this particular Python interpreter before attempting the package installation process. ```bash # Creating a virtual environment named tf_env with python 3.11 python3.11 -m venv tf_env source tf_env/bin/activate # On Windows use `tf_env\Scripts\activate` # Installing tensorflow inside the activated virtual environment pip install --upgrade pip pip install tensorflow ```