Headless CMS with Wagtail and Nextjs
(30 Minutes)
By: Josh Martin
Experience Level: Novice

This talk will cover how to host a Wagtail/Django backend running on Digital Ocean with Dokku. And a Next.js frontend running on Vercel. This combination leads to an ultra-cheap solution for a scaleable and fault-tolerant solution for personal projects or startups.

ChiPy celebrates Pi Day
(10 Minutes)
By: Phil Robare
Experience Level: Intermediate

The calculation of π to an insane number of digits is something that has an interesting history.  This talk will look at historic algorithms for the calculation π and implementation of the algorithms in Python.  And we will meditate upon how lucky we are to have computers to do the calculation. In doing this we will see things in the Python standard library that make it possible to calculate the crazy values needed in modern algorithms (e.g. one over a factorial cubed). The final demonstration is the calculation of π to 100 significant digits.

Getting Started with Software Testing in Python
(30 Minutes)
By: Paul Zuradzki
Experience Level: Novice

The goal of this talk is to give you a roadmap on a journey to writing stronger code with software testing. How do you actually know if your code really works? How do you know that you didn't break something "over there" when you changed something "over here"? In this talk, we'll demonstrate common problems and solutions with respect to verifying code correctness and improving maintainability.

Maybe you've already started trying to learn testing and some things are still unclear: 
- "What is the point of a mock?",  
- "What is the difference between patching with pytest vs unittest or using a with-block vs a decorator?"
- "I get stuck writing a test as soon as I go to a nontrivial example."

Boosting Neuroimaging Analysis and Results Digestibility 🧠
(30 Minutes)
By: Carlos A Aranibar
Experience Level: Intermediate

Make neuroimaging results easier to digest for patients and equip technicians with an enhanced toolkit featuring improved visualization and statistical analysis capabilities through MNE, an open-source Python Library.

From Cron to Airflow - Understanding the need for Schedulers
(40 Minutes)
By: Raymond Berg
Experience Level: Novice

Help! I want to run a simple task on a schedule how do I do that? Wait, remember when I said "a simple task", well it just got more complicated. And why isn't the data ready when my job runs?! Oh no, yesterdays job failed...what do I do?

These are all common problems lots of data analysts/engineers and scripters encounter. How do you solve them in a sustainable way? This intro talk is helpful for all who think about job scheduling.