The Austin Python Meetup Monthly Meetup

We typically have a main presentation or a series of lightning talks, followed by discussion and Q&A. There is a diversity of domains and experience levels represented, so come with your questions and be prepared to talk about how you use Python!

This will be an online meeting - please join the meetup at the link listed. Please note that this link may update and updates may appear in the discussion section below - so scroll down if you have technical difficulties.

The presentations will start after 7, yet feel free to join starting 6:30.

In this meetup we will have the following presentations:

Talk 1: Sam Scott will present on “Authorization patterns for GraphQL using oso with the Python graphene library”

Talk 2: Tyler Potts will present on "QHub: Deploy JupyterHub with Dask Gateway on Kubernetes in 15 minutes"

Details about the presentations below:

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Talk 1: “Authorization patterns for GraphQL using oso with the Python graphene library”

Description: oso + GraphQL both take a declarative, code-based approach to their problem domains, and GraphQL explicitly leaves authorization to the application, which is where oso comes in! This talk will cover oso, an open source authorization library, and the different authorization patterns in a GraphQL application. We'll demo a sample application that uses the Python graphene library, and an introduction to GraphQL for people who haven't yet had a chance to try it out. For more information on oso visit https://www.osohq.com .

Bio: Sam Scott is the cofounder and CTO of oso. He’s received a PhD in Cryptography, is an engineer by training, and can discuss anything from authorization and security patterns in Python/Django, to how oso works under the hood and interfaces with Python via FFI, to trends in security policy-as-code and his contributions to TLS 1.3.

Talk 2: "QHub: Deploy JupyterHub with Dask Gateway on Kubernetes in 15 minutes"

Description: Deploying and maintaining a Dask+JupyterHub cluster on the Cloud is a very difficult task. Throw Kubernetes in there and it can all get overwhelming quite fast. With that challenge in mind, we decided to build a platform that uses Infrastructure-as-Code to handle and simplify such deployments. We call it: QHub. In this talk, I will show how QHub allows teams and individuals to build scalable data science environments under 15 minutes, deploying them to multiple Cloud providers. Kubernetes for those who don't know Kubernetes.

Bio: Coder at Quansight. Data Scientist, core maintainer for QHub Cloud and QHub OnPrem, and open source advocate. Recently arrived to the DevOps party. Check out the projects at github.com/quansight/qhub-cloud and github.com/quansight/qhub-onprem. Graduated from BYU in Neuroscience. Likes chicken (raising and eating).