Python Data Science container

This repository created to support https://hands-on.cloud articles:

• How to run Jupiter, Keras, Tensorflow and other ML libs in Docker
• How to build Anaconda Python Data Science Docker container

This is fully ready Docker container with:

• NumPy
• Pandas
• Sklearn
• Matplotlib
• Seaborn
• pyyaml
• h5py
• Jupyter
• Tensorflow
• Keras
• OpenCV 3

We're building this container on top of Ubuntu 20.04 Docker container (Dockerfile) and Anaconda Docker container (Dockerfile)

Running container

We'll use notebooks forlder to store Jupyter Notebooks:

mkdir notebooks

Run Docker container with the following command:

docker run -it -p 8888:8888 -p 6006:6006 -d -v $(pwd)/notebooks:/notebooks amaksimov/python_data_science

We're using following parameters:

• -p 8888:8888 to export Jupyter Web interface
• -p 6006:6006 to export TensorflowDashboard Web interface
• -d to run Docker container in background
• -v notebooks:/notebooks to mount just created notebooks folder Docker inside container