Parrot Contributes to GraphQL Library in Python - Part 1 (Imposter Syndrome and Fixing the Docs)

Hello Parrots! On the 18th of February, Patrick Arminio, the creator of strawberry, the popular GraphQL library in python, hosted an 8 hour sprint to encourage new contributors to give back to the python community!

Link to the event here

Contributing to open-source is one of the best way to gain street cred with the kind and talented engineers in the community, and learn from the best!

However, as open-source libraries can involve lots of details, it can be intimidating to even our brightest software engineers in the community.

In this series, we participate in the sprint, and candidly show-case the whole process of contributing to the library!

I have learnt alot through this experience, and I hope this "vlog" would be insightful to you!

To Patrick and our kind and talented software engineers in strawberry, if you are watching this, thank you so much for all you do! The python community is a little kinder and brighter thanks to all of you!

To our Pythonista Parrots:

- The strawberry library is a popular, powerful python library, which allows us to build self-documenting back-end services, easily composable into a single graph with Graphql.
2. Join the strawberry community, and connect with Patrick and the talented strawberry contributors here.
3. Check out the flask-pymongo-pydantic-strawberry boilerplate we contributed to strawberry!
- Use this boilerplate to setup a self-documenting (with strawberry) flask server to receive, persist, and retrieve data from a pymongo NoSQL database. Leverage pydantic as a data model validator library to ensure type safety of your data models.