Jupyter x Docker
Jupyter x Docker, available at Free, has an average rating of 4.5, with 10 lectures, based on 68 reviews, and has 10938 subscribers.
You will learn about Create a Jupyter Notebook Server in a Docker Container Containerized Applications Deploy Container Apps to Heroku Deploy a Jupyter Notebook Server to Heroku This course is ideal for individuals who are Jupyter Notebook Enthusiasts or Data Scientists & Data Engineers It is particularly useful for Jupyter Notebook Enthusiasts or Data Scientists & Data Engineers.
Enroll now: Jupyter x Docker
Summary
Title: Jupyter x Docker
Price: Free
Average Rating: 4.5
Number of Lectures: 10
Number of Published Lectures: 10
Number of Curriculum Items: 10
Number of Published Curriculum Objects: 10
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Create a Jupyter Notebook Server in a Docker Container
- Containerized Applications
- Deploy Container Apps to Heroku
- Deploy a Jupyter Notebook Server to Heroku
Who Should Attend
- Jupyter Notebook Enthusiasts
- Data Scientists & Data Engineers
Target Audiences
- Jupyter Notebook Enthusiasts
- Data Scientists & Data Engineers
Learn to create a Python Jupyter Notebook Server with Docker & Heroku. This series builds gives you a step-by-step reference to deploy an interactive notebook to allow your projects to be more literal while making it easier for non-technicals to run your code.
Jupyter is a tool for running interactive notebooks; basically add Python with Markdown and you’ve got Jupyter. if you haven’t used it before, I recommend you do.
Docker is a tool that gives us control over our application’s OS environment. Think of it like a recipe for your OS that you can share almost anywhere. In this one, we’ll be covering deploying this project to Heroku but using Docker means we can deploy this nearly anywhere.
In this series, I’m going to show you how to deploy a Jupyter Notebook server on Heroku using Docker step-by-step.
The big caveat
Jupyter has the ability to create new notebooks and they will 100% save on your deployed docker-based Jupyter server… but they will disappear as soon as you deploy a new version. That’s because containers, by their very nature, are ephemeral by default.
This caveat doesn’t mean we shouldn’t do this… it just means it is a HUGE consideration when using this guide over something like Google Colab.
Course Curriculum
Chapter 1: Welcome
Lecture 1: Welcome
Chapter 2: Setup & Configuration
Lecture 1: Setup Base Project
Lecture 2: Jupyter Notebook Server Configuration
Chapter 3: Using Docker
Lecture 1: Packaging Notebooks for the Ephemeral Docker Containers
Lecture 2: Create the Minimal Dockerfile
Lecture 3: Dockerfile CMD Entrypoint
Lecture 4: Build & Run with Docker
Chapter 4: Deployment with Heroku
Lecture 1: Push & Release on Heroku
Chapter 5: Bonus
Lecture 1: Bonus Installs
Chapter 6: Thank you
Lecture 1: Thank you
Instructors
-
Justin Mitchel
Coding Entrepreneur & Teacher – 568,000+ Students
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 5 votes
- 4 stars: 25 votes
- 5 stars: 37 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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