Tuesday 10:15 AM–11:00 AM in The Forum, 4th Floor / Case Studies

Python at City Scale

Hunter Owens 🌴

Audience level:
Novice

Description

This is a short technical deep dive into a few different projects where the City of Los Angeles is using Python to help residents.

1) Predicting Displacement using Scikit Learn and Pandas 2) Counting Bicyclists and Pedestrians with Machine Vision 3) Scaling City Data Systems with Airflow.

Each of these projects details how the City of LA is powered with Python.

Abstract

Each of these projects has an amazing resident service and was built entirely using free and open source tools

1) Predicting Displacement using Scikit Learn and Pandas 2) Counting Bicyclists and Pedestrians with Machine Vision 3) Scaling City Data Systems with Airflow.

We will also talk about government contracting and how to get a job with the City of LA.

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