Notebook Deployment on Heroku

Are you tired of manually deploying your Jupyter notebooks every time you want to share your work with others? Do you want to take your data science projects to the next level by deploying them in the cloud? Look no further than Heroku!

Heroku is a cloud platform that allows you to deploy and manage your applications in a scalable and easy-to-use environment. In this article, we will walk you through the process of deploying your Jupyter notebooks on Heroku, from start to finish.

Prerequisites

Before we get started, there are a few things you will need:

• A Heroku account
• A GitHub account
• A Jupyter notebook with your data science project

If you don't have a Jupyter notebook yet, don't worry! You can create one by following the instructions on the Jupyter website.

Step 1: Create a GitHub repository

The first step in deploying your Jupyter notebook on Heroku is to create a GitHub repository. This will allow you to easily share your code with others and deploy it to Heroku.

To create a new repository on GitHub, follow these steps:

1. Log in to your GitHub account.
2. Click on the "+" icon in the top right corner of the screen.
3. Select "New repository" from the dropdown menu.
4. Give your repository a name and description.
5. Choose whether you want your repository to be public or private.
6. Click on the "Create repository" button.

Once you have created your repository, you will need to clone it to your local machine. To do this, open up your terminal and run the following command:

git clone https://github.com/your-username/your-repository.git

Replace "your-username" and "your-repository" with your actual GitHub username and repository name.

Step 2: Prepare your Jupyter notebook for deployment

Now that you have your GitHub repository set up, it's time to prepare your Jupyter notebook for deployment. There are a few things you will need to do to make sure your notebook runs smoothly on Heroku.

Install required packages

First, you will need to make sure that all of the packages your notebook depends on are installed. To do this, create a requirements.txt file in the root directory of your repository and list all of the packages you need. For example:

numpy
pandas
scikit-learn

Create a Procfile

Next, you will need to create a Procfile in the root directory of your repository. This file tells Heroku how to run your application. For a Jupyter notebook, your Procfile should look like this:

web: jupyter notebook --no-browser --port=$PORT --ip=0.0.0.0

This tells Heroku to start a Jupyter notebook server and listen on the port that Heroku assigns to your application.

Commit your changes

Once you have created your requirements.txt and Procfile, you will need to commit your changes to your GitHub repository. To do this, run the following commands in your terminal:

git add .
git commit -m "Add requirements.txt and Procfile"
git push origin master

Step 3: Deploy your Jupyter notebook on Heroku

Now that your Jupyter notebook is ready for deployment, it's time to deploy it on Heroku. Follow these steps to get started:

1. Log in to your Heroku account.
2. Click on the "New" button in the top right corner of the screen.
3. Select "Create new app" from the dropdown menu.
4. Give your app a name and choose a region.
5. Click on the "Create app" button.

Once you have created your app, you will need to connect it to your GitHub repository. To do this, follow these steps:

1. Click on the "Deploy" tab in the top navigation bar.
2. Under "Deployment method", select "GitHub".
3. Connect your GitHub account to Heroku.
4. Search for your repository and click on the "Connect" button.

Once you have connected your repository, you can choose to deploy your app automatically whenever you push changes to your GitHub repository. To do this, follow these steps:

1. Under "Automatic deploys", click on the "Enable automatic deploys" button.
2. Choose the branch you want to deploy (usually "master").
3. Click on the "Deploy branch" button.

Heroku will now build and deploy your Jupyter notebook automatically whenever you push changes to your GitHub repository.

Step 4: Access your deployed Jupyter notebook

Congratulations! You have successfully deployed your Jupyter notebook on Heroku. To access your notebook, follow these steps:

1. Click on the "Open app" button in the top right corner of the screen.
2. Your Jupyter notebook should now open in a new tab in your web browser.

You can now share the URL of your deployed Jupyter notebook with others, and they will be able to access it from anywhere in the world.

Conclusion

Deploying your Jupyter notebooks on Heroku is a great way to take your data science projects to the next level. With Heroku, you can easily share your work with others and deploy it in a scalable and easy-to-use environment. By following the steps outlined in this article, you can deploy your Jupyter notebooks on Heroku in just a few minutes. So what are you waiting for? Start deploying your notebooks today!

Additional Resources