Design Patterns & Anti-Patterns
(1 Minutes)
By: Peter Phyall, Nick Petrovits
Experience Level: Intermediate
Slides Link

This presentation focuses on an exploration of common software development design patterns, best development practices, and a discussion of anti-patterns.

Xpresso: an extensible and composable ASGI framework
(30 Minutes)
By: Adrian Garcia Badaracco
Experience Level: Intermediate
Slides Link

Xpresso is an extensible and composable ASGI web framework, inspired by FastAPI.

It improves on FastAPI by decoupling the dependency injection from the request/response paradigm and decoupling the framework from Pydantic, using PEP 593 annotations. This enables many nice features, like a more flexible dependency injection system, concurrent execution of dependencies and much more customizable processing of request parameters and bodies.

Introduction to GeoSpatial Data with Python
(30 Minutes)
By: Craig Barnes
Experience Level: Novice

Introduction to processing and serving Geospatial Data using Python. The talk will introduce relevant background information, common data formats, and how to create, modify and serve geospatial data. 

Everyday Design Patterns: Observer Pattern
(25 Minutes)
By: Aly Sivji
Experience Level: Intermediate

The Observer Pattern enables us to design event-driven systems using loosely coupled components. In this talk, we will learn how, when, and why to use this pattern; we will explore how popular PyPI packages use the pattern; and, we will design a decorator-based Observer to process GitHub events.

Every Way SpotHero Uses Python
(30 Minutes)
By: James Lamb
Experience Level: Novice

We love Python at SpotHero. In this talk, attendees will learn all the ways that SpotHero uses Python. Libraries, web services, machine learning, data processing, and more! After an overview of these use cases, the talk concludes with a set of practical suggestions for effective use of Python in different settings.

The primary goal of the talk is to expand attendees' imaginations around the wide range of use cases that Python can be a good fit for in a consumer-facing company.