# Use Python with Occlum This project demonstrates how Occlum enables _unmodified_ [Python](https://www.python.org) programs running in SGX enclaves, which is based on glibc. ## Sample Code: CSV Processing in Python To make the sample code more realistic, we choose to write a Python program that processes CSV data files using [NumPy](https://numpy.org), [pandas](https://pandas.pydata.org), and [scikit-learn](https://scikit-learn.org). The sample code can be found [here](demo.py). ## How to Run This tutorial is written under the assumption that you have Docker installed and use Occlum in a Docker container. Occlum is compatible with glibc-supported Python, we employ miniconda as python installation tool. You can import any python dependencies using conda. Here, miniconda is automatically installed by install_python_with_conda.sh script, the required python and related dependencies for this project are also loaded by this script. Here, we take occlum/occlum:0.23.0-ubuntu18.04 as example. Step 1 (on the host): Start an Occlum container ``` docker pull occlum/occlum:0.23.0-ubuntu18.04 docker run -it --name=pythonDemo --device /dev/sgx/enclave occlum/occlum:0.23.0-ubuntu18.04 bash ``` Step 2 (on the host): Download miniconda and install python to prefix position. ``` cd /root/occlum/demos/python/python_glibc bash ./install_python_with_conda.sh ``` Step 3 (on the host): Run the sample code on Occlum ``` cd /root/occlum/demos/python/python_glibc bash ./run_python_on_occlum.sh ``` It will process CSV data files and generate a file (`smvlight.dat`) in `./occlum_instance`.