If you've learned a bit about Flask and REST APIs already (or you've taken our introductory REST API course), and you want to take your knowledge to the next level: you're in the right place.
Topics covered
- Use Marshmallow for data serialization and deserialization
- Send e-mails and user confirmations
- Upload images
- Database migrations
- Easy ways of writing documentation and testing your API
- Handle payments using Stripe
- Third party login using OAuth (GitHub is used as the example)
- Extensive software development knowledge, refactoring, debugging, and more!
- Use the latest technologies and the best practices. We teach everything using Python 3.7, the latest version.
Course structure
We’ll start with a simple REST API and teach you everything you need to know about it—so even if you’ve not taken our first course, you can follow along with absolutely no issues. We've even written an e-book to get you up to speed quickly with this starter REST API!
We introduce new features and technologies by baking them into this application so you can see how a professional REST API is developed. Every new feature is added to a fully working application and tested!
We’ll also help you understand more about how to build features incrementally to get them to your users quickly and minimise risk!
Extra resources
Many lectures contain extra resources, such as links to external documentation and projects, for you to go and learn more. And for each lecture, we include the source code at the start and at the end so you’ll never be lost. All source code is provided as downloadable and also in GitHub for your convenience.
We're always available to help in the Udemy Course Q&A and also our own student community Slack channel. Make use of these awesome resources!
Advanced course
Remember, this is our most advanced course yet! You should have enough programming experience with Python or another programming language. Some knowledge of how the web works is also really helpful.
You should have knowledge of how to install Python packages and how to run your Python applications. If you've used virtualenv or Pipenv before, that's excellent! Knowledge of PyCharm for debugging is also a plus, although we will cover using the debugger in the course!
