Jupyter x Docker faq

learnersLearners: 10,496
instructor Instructor: Justin Mitchel instructor-icon
duration Duration: instructor-icon

This course is perfect for new learners who want to learn how to create a Python Jupyter Notebook Server with Docker and Heroku. It provides step-by-step instructions on how to deploy an interactive notebook, allowing projects to be more literal and easier for non-technicals to run code. It also covers the use of Docker to give control over the application's OS environment, and how to deploy the project to Heroku. Additionally, it explains the caveat that Jupyter notebooks will disappear as soon as a new version is deployed, due to the ephemeral nature of containers. With this course, you will be able to create a Python Jupyter Notebook Server with Docker and Heroku, and gain control over the application's OS environment. Click now to start your journey!

Course Feature Course Overview Course Provider
Go to class

Course Feature

costCost:

Free

providerProvider:

Udemy

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

2020-07-20

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course provides learners with the knowledge to create a Python Jupyter Notebook Server with Docker and Heroku. Step-by-step instructions are provided to deploy an interactive notebook, making projects more literal and easier for non-technicals to run code. Docker is used to give control over the application's OS environment, and the project is deployed to Heroku. The caveat of Jupyter notebooks disappearing as soon as a new version is deployed due to the ephemeral nature of containers is also discussed.

Course Provider

Provider Udemy's Stats at OeClass