Performance Session List

Talk pydata-pydata-scientific-libraries-stack

5 Steps to Speed Up Your Data-Analysis on a Single Core

Jonathan Striebel

Data Engineering, Performance

Your data analysis pipeline works. Nice. Could it be faster? Probably. Do you need to parallelize? Not yet. Discover optimization steps that boost the performance of your data analysis pipeline on a single core, reducing time & costs.

Optimize your network inference time with OpenVINO

Adrian Boguszewski

Jupyter, Neural Networks / Deep Learning, Performance

Learn how to automatically convert the model using Model Optimizer and how to run the inference with OpenVINO Runtime to infer your model with low latency on the CPU and iGPU you already have. The magic with only a few lines of code.

Speeding up Python with Zig

Adam Serafini

Packaging, Performance

Let's speed up Python, with Zig! A tour through Python's C API and packaging challenges...

Tutorial pycon-devops

We know what your app did last summer. Do you? Observing Python applications using Prometheus.

Jessica Greene (she/her), Vanessa Aguilar

Data Visualization, DevOps, Performance

We know what your app did last summer. Do you? Join us for this practical & theoretical session if you’re looking to grasp the key concepts of observability, useful metrics, and ensuring operational excellence for your Python applications using Prometheus!