This process takes ~7 minutes to build the container of 3.11 Gb in size. And in this article I’ll show you how to do it much faster using Anaconda official Docker Image. Well, I spent whole day preparing new image build. Suddenly, I understood, that I’ve missed OpenCV for Docker image and video manipulations. Last time we’ve created Docker container with Jupiter, Keras, Tensorflow, Pandas, Sklearn and Matplotlib. Recently we published an article Quick And Simple Introduction to Kubernetes Helm Charts in 10 minutes, where you can find instructions on how to use Helm to deploy this container to your Kubernetes cluster. This image is quite useful if you’re developing ML models or you need a pre-configured Jupyter notebook with some of the most useful libraries. In this article, we’ll build a Docker container for Machine Learning (ML) development environment.
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