### Python 3.7 Compatible TensorFlow and Keras Versions Python 3.7 is compatible with several versions of TensorFlow, but it is important to note that the compatibility depends on the specific TensorFlow version[^1]. For Python 3.7, TensorFlow versions starting from 1.13.1 up to TensorFlow 2.x are generally supported. However, TensorFlow 1.14.0 and later versions officially support Python 3.7[^4]. For TensorFlow 2.x series, Python 3.7 is fully supported, and it is recommended to use TensorFlow 2.3 or higher for better performance and stability[^3]. Regarding Keras, since TensorFlow 2.x integrates Keras as `tf.keras`, there is no need to install a separate Keras package. The integrated `tf.keras` in TensorFlow 2.x is kept up-to-date with the latest Keras API standards. To create a Conda environment specifically for Python 3.7 with TensorFlow and Keras, the following command can be used: ```bash conda create -n tensorflow python=3.7 ``` After creating the environment, TensorFlow can be installed using either Conda or pip: ```bash # Using Conda conda install tensorflow # Using pip pip install tensorflow ``` If specific versions of TensorFlow or Keras are required, they can be explicitly installed: ```bash pip install tensorflow==2.5.0 ``` ### Example Code for Verifying Installation Below is an example code snippet to verify the installation of TensorFlow and Keras: ```python import tensorflow as tf from tensorflow import keras print(f"TensorFlow Version: {tf.__version__}") print(f"Keras Version: {keras.__version__}") ```