Docker for Data Scientists

Sharing data science work can be messy. Learn how to use Docker—the popular tool for deploying and managing apps as containers—to more efficiently share machine learning models.

Introduction

• Docker and data science
• What you should know

1. Introduction to Docker

• What is Docker?
• Why Docker?
• Install Docker
• Install a text editor

2. Working with Docker

• Using images
• Running a container
• Docker under the hood

3. Working With Dockerfiles

• Dockerfile basics
• Troubleshooting Dockerfiles
• Uploading images to Docker Hub

4. Common Use Cases

• Creating a common development environment
• Sharing results with colleagues

Conclusion

• Next steps