Grand Ballroom A

11:00 11:30 11:45 12:15 12:30 1:15 2:00 2:30 2:45 3:15 3:30 4:00 4:30 5:00 5:15 5:45

AI

AI-Assisted Contributions and Maintainer Load

Paolo Melchiorre

Grand Ballroom A

AI

AI-Powered Python Education : Towards Adaptive and Inclusive Learning

Sonny Mupfuni

Grand Ballroom A

AI

Making African Languages Visible: A Python-Based Guide to Low-Resource Language ID

Gift Ojeabulu

Grand Ballroom A

Lunch (Hall AB)

AI

Running Large Language Models on Laptops: Practical Quantization Techniques in Python

Aayush Kumar JVS

Grand Ballroom A

AI

Distributing AI with Python in the Browser: Edge Inference and Flexibility Without Infrastructure

Fabio Pliger

Grand Ballroom A

AI

AI

What Python Developers Need to Know About Hardware: A Practical Guide to GPU Memory, Kernel Scheduling, and Execution Models

Santosh Appachu Devanira Poovaiah, Vyas Ramasubramani

Grand Ballroom A

AI

How to Build Your First Real-Time Voice Agent in Python (Without Losing Your Mind)

Camila Hinojosa Añez, Elizabeth Fuentes

Grand Ballroom A

10:30 11:00 11:15 11:45 12:00 12:45 1:45 2:15 2:30 3:00 3:15 3:45 4:15 4:45 5:00 5:30

Python for Humans - Designing Python Code Like a User Interface

Justin Lee

Grand Ballroom A

Don’t Write Polars Code with a Pandas Accent

Joram Mutenge

Grand Ballroom A

No More Spreadsheets! Building PyLadiesCon Infrastructure with Python and Django

Mariatta

Grand Ballroom A

Lunch (Hall AB)

Create a Python Package: From Zero to Hero

Mario Munoz

Grand Ballroom A

Beyond Rate Limiting: Adaptive Security for Python Web Applications

Aayush Gauba

Grand Ballroom A

Tachyon: Python 3.15's sampling profiler is faster than your code

Pablo Galindo Salgado, Laszlo Kiss Kollar

Grand Ballroom A

Making Python Faster with Free Threading and Mypyc

Jukka Lehtosalo

Grand Ballroom A

High-Performance LLM Inference in Pure Python with PyTorch Custom Ops

Yineng Zhang

Grand Ballroom A

10:00 1:00 1:30 1:45 2:15 2:30 3:00

Job Fair & Community Showcase (Hall AB) Starts at 9:30

A bridge over (not) troubled waters: Collecting marine data from your couch

Sarah Kaiser

Grand Ballroom A

Running Every Street in Paris with Python and PostGIS

Vinayak Mehta

Grand Ballroom A

From Messy Clinical Data to Interoperable FHIR: A Python-First Mapping and Validation Pipeline

Lisa Smith

Grand Ballroom A