Docker is one of the two most popular DevOps platforms for data scientists. There are over nine million Docker accounts and the number of developers using Docker is growing 30% a year.
There are a lot of compelling reasons that Docker is becoming very valuable for data scientists and developers. One of the reasons is that the configuration and user interface is so intuitive and convenient.
If you are a Data Scientist or Big Data Engineer, you probably find the Data Science environment configuration painful. If this is your case, you should consider using Docker for your day-to-day Data tasks.
