We are happy to announce the second instance of the PyAmsterdam meetup. This event will be kindly hosted by Crunchr. This time we want to make space for 3 talks. And of course as usual, beers and food will be provided.
Schedule
| 18:30 | Welcome with drinks and food |
| 19:00 | First talk: Battle testing your web API using OpenAPI and hypothesis |
| 19:30 | Small break |
| 19:50 | Second talk: Writing Custom Kubernetes Resource Controllers with Python |
| 20:30 | Internal implementation of the python dict |
| 20:50 | Networking |
| 21:30 | Closing time |
Talk1: Battle testing your web API using OpenAPI and hypothesis
Daniel is a full-stack developer at crunchr where he is focused on making the product scalable and robust.
Abstract
Implementing a web API is full of difficulties, it can be frightening to change the smallest thing, since breaking the contract can have devastating effects on your consumers. So how can you ensure that you don't inadvertently introduce errors?
In this talk we will present openapi-conformance, an open source python library which helps you check that your API implementation does what it is supposed to. This library is built on top of hypothesis and openapi-core and brings the power of property based testing to the world of web API development.
We are starting to use this library at crunchr to help us specify and test our API, we will share with you some of the insights gained from this experience.
Talk2: Writing Custom Kubernetes Resource Controllers with Python
Jan is a data scientist that worked at KLM for 3.5 years before starting Cubonacci, a machine learning life cycle management platform.
Abstract
Kubernetes allows you to orchestrate microservices and batchjobs in a declerative way. The base Kubernetes resources like Pods, Deployments, Services and Jobs can get you far but there are benefits to creating project specific abstractions on top of those. Kubernetes gives you the option to easily define custom resources that can be managed via the Kubernetes API.
Of course, what actually needs to happen when you create, patch or delete these components needs to be coded. Metacontroller is a project that makes it easy to manage these custom resources via your custom rolled API. In this talk I will show you what the benefits of custom resources are, how metacontroller works and how to use a framework like Flask to implement the business logic for your custom resources.
Talk3: Internal implementation of the python dict
Olga is a backend-developer with QA Automation background.
Abstract
The dictionary is probably the most popular data structure in Python. Lots of iterations of improvements have made it super efficient and beautiful. Let's see what's under the hood and dive into a world of open addressing, hash cache and double list keys.