Optimizing Python Code
(15 Minutes)
By: Anna Astori
Experience Level: Novice

Have you experienced issues with your Python code while wrangling new data sets and crunching big numbers? Have you wondered what are the places where you could make your Python scripts run faster? Let's talk! Today, I will cover a few options to speed up your data processing operations. This talk can be especially valuable for those who are just starting out in Data Science and Python 
development. Nonetheless, everyone interested in efficient Python is welcome!

How to build a Recommender System from scratch in (mostly) Python
(60 Minutes)
By: Aabir Abubaker Kar
Experience Level: Novice

A recommender system (recsys) is a no-brainer investment for any service that offers users a wide choice of items. This talk will teach you how to design and build one yourself, informed by lessons learnt shipping a recsys to 5 million MAUs. We'll start with the simplest heuristics and ML models that do the trick, focusing significantly on system design. We'll discuss how to compute, store, and serve recommendations - and also how to build a robust data system with long-term value. We can also nerd out about machine learning and idea jam at the end.

I write at bakerwho.github.io and tweet at @bakerwhodata sometimes. HMU

Getting Started with Prefect
(20 Minutes)
By: George Coyne
Experience Level: Intermediate

Prefect is air traffic control for the modern data stack. Monitor, coordinate, and orchestrate dataflows between and across your applications. Build pipelines, deploy them anywhere, and configure them remotely. You might just love your workflows again.

Learn how to get up and running with Prefect!

MicroPython for industrial robots
(30 Minutes)
By: Carl Karsten
Experience Level: Novice

The MicroPython part of Evezor Modular Automation System.

or how to link an input device to a liniar actuator over CAN Bus.

 

I will maybe spend 5 min talking about my anser to  "What is / Teach me programming?" 

For sure I will spend a few moments talking about Python on FPGAs like Fomu and have a few to give out.

https://micropython.org

https://github.com/adafruit/circuitpython

https://github.com/evezor/Edge_Boards

https://github.com/CarlFK/px/blob/master/For_Teachers.md

https://tomu.im/fomu.html

Python in the Cloud
(30 Minutes)
By: Adrian Garcia Badaracco
Experience Level: Advanced
Slides Link

This talk explores the relationship between Kubernetes/cloud infrastructure and the most common Python ASGI app deployment topology (Gunicorn with Uvicorn workers). We'll look at the issues that you'll encounter with this deployment strategy and how you can solve them and make your code simpler and more robust by ditching Gunicorn and taking control of your application.

Inside your ASGI web framework
(40 Minutes)
By: Adrian Garcia Badaracco
Experience Level: Intermediate
Slides Link

A walkthrough of the Asynchronous Gateway Server Interface, the API that powers Uvicorn, Starlette and FastAPI.

We'll go through some history, the spec itself, how to write an app and how to write middleware.

By the end of this talk you should have a good idea of what is going on under the hood in your ASGI web server and framework.