This blog post is based on From Project to Productionized, a talk given at PyCon 2020 at the height of the COVID-19 pandemic. You can use this post today to learn how to deploy a Python application on Heroku. More specifically, we’ll show you how to deploy Django apps, including setting up your Django configuration, building continuous delivery pipelines, adding middleware, and everything else that goes into deploying Django on Heroku.

If you’d prefer a generic guide explaining how to deploy a Python application on Heroku, check out Getting Started on Heroku with Python.


Getting to Know Python 3.7: Data Classes, async/await and More!

engineering , Python Buildpack Maintainer and Queen Pythonista

If you're like me, or like many other Python developers, you've probably lived (and maybe migrated) through a few version releases. Python 3.7(.3), one of the latest releases, includes some impressive new language features that help to keep Python one of the easiest, and most powerful languages out there. If you're already using a Python 3.x version, you should consider upgrading to Python 3.7. Read on to learn more about some of the exciting features and improvements.

Data Classes

One of the most tedious parts about working with Python prior to 3.7 in an object-oriented way was creating classes to represent data in your application.

Prior to Python 3.7, you would have to...


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