Useful Tools to Setup Development Environment for Data Science

Docker container runtime for machine learning development

The container will start jupyterlab in port 8889

Python 3.6, Nvidia GPU driver, conda, jupyterlab

cd docker
docker build -f Dockerfile.ml_gpu_py3 -t xieqihui/ml_dev:gpu_py3 .

Python 2.7, Nvidia GPU dirver, conda, jupyterlab

cd docker
docker build -f Dockerfile.ml_gpu_py2 -t xieqihui/ml_dev:gpu_py2 .

These images can be used as base image for machine learning projects.

More details on the usage

Vim for Python

Vim is awesome but painful to configure. Here is the script to configure it for Python. Reference tutorial

cd vim
./vim_setup.sh