From the course: Docker for Data Scientists
Join today to access over 22,600 courses taught by industry experts or purchase this course individually.
Next steps
- [Jonathan] Now that you know the basics of Docker, go ahead and put a Docker file together. Create an image and push it to Docker Hub so that you can share your application with others or are you working with other teams that don't have data science and machine learning software on their computers? Well, get them to install Docker and then share analysis and insights with them without having to worry about it not working on their computers. In the past, you might have had to get the help of data engineers to productionize your code or make it available before speaking to the business teams. Now, with Docker, you can turn around applications and get feedback from stakeholders much more quickly. This is just the start, but Docker is key to machine learning and data science. I hope you found this course helpful. Now, if you've liked this one, you'll probably like some of my other courses on LinkedIn Learning. Thanks for watching, and I'd love to hear back from you and to connect via…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.