Skip to Content
Learn Python by Building Data Science Applications
book

Learn Python by Building Data Science Applications

by Philipp Kats, David Katz
August 2019
Beginner
482 pages
12h 56m
English
Packt Publishing
Content preview from Learn Python by Building Data Science Applications

Docker containers

Docker containers allow developers to isolate and package certain code and some parts of the surrounding operating system as a binary file. This file can then be run on any other machine with a similar OS, with no changes needed. Because Docker images do not include the whole OS, they are relatively small (a few gigabytes in size) and can be pulled over the internet. At the same time, they are fairly isolated and can be run with little exposure. Multiple containers can run on the same machine at once. Using Docker software, an image can be compiled into a set of layers, similar to how classes inherit from each other. For this compilation, you should use a short text file, commonly called a Dockerfile, that's convenient to ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python for Data Science

Python for Data Science

Yuli Vasiliev
Introduction to Machine Learning with Python

Introduction to Machine Learning with Python

Andreas C. Müller, Sarah Guido

Publisher Resources

ISBN: 9781789535365Supplemental Content