Using Python and Docker for Data Science and Scientific Computing
DockerCon 2022: session
Docker has become a standard tool for developers around the world to deploy applications in a reproducible and robust manner. The existence of Docker and Docker Compose have reduced the time needed to set up new software and implement complex technology stacks for our applications. There are thousands of tutorials and getting started documents for those wanting to adopt Docker for application deployment.
However, if you’re a data scientist, a researcher or someone working on scientific computing wanting to adopt Docker, the story is quite different. If you work on data science, machine learning or scientific computing, this talk is for you. We'll cover best practices when building Docker containers for data-intensive applications, from optimizing your image build to ensuring your containers are secure and efficient deployment workflows. We’ll talk about the most common problems faced while using Docker with data-intensive applications and how you can overcome most of them. Finally, I'll give you some practical and useful tips to improve your Docker workflows and practices.
Start: Wednesday, 11 May 2022 @ 06:30
End: Wednesday, 11 May 2022 @ 07:00
- Open to all
Organiser: DockerCon 2022
Contact: Speaker: Tania Allard (Co-director Quansight) https://www.linkedin.com/in/taniaallard
Host institution: None
Keywords: python, data science, DockerEvent type: