This open source project provides hands-on materials on different aspects of working in the clouds like AWS and GCP.
How to build Python Data Science Docker container based on Anaconda
Last time we’ve created Docker container with Jupiter, Keras, Tensorflow, Pandas, Sklearn and Matplotlib. Suddenly, I understood, that I’ve missed OpenCV for Docker image and video manipulations. Well, I spent whole day preparing new image build. And in this article I’ll show you how to do it much faster using Anaconda official Docker Image.
How to run Jupiter, Keras, Tensorflow, Pandas, Sklearn and Matplotlib in Docker container
Environment setup is a very common question when you’re trying to start learning Machine Learning (ML). In this article I’ll show you how to create your own Docker container including the following frameworks for comfortable start: Python 3 Jupyter Keras Tensorflow TensorBoard Pandas Sklearn Matplotlib Seaborn pyyaml h5py That are TOP 10 widely used Python frameworks for Data Science and you’ll find most of them in any HOWTO article on the Internet.