PyData & Scientific Libraries Stack

3 talks from the 2024 edition.

A deep dive into the Arrow Columnar format with pyarrow and nanoarrow ▶ Recording 📝 Transcript

Joris Van den Bossche, Raúl Cumplido Domínguez, Alenka Frim

Apache Arrow has become a de-facto standard for efficient in-memory columnar data representation. You might have heard about Arrow or using Arrow, but do you understand the format and why it’s so useful? This...
Boost your Data Science skills with the new Python in Excel ▶ Recording 📝 Transcript

Valerio Maggio

Python in Excel is the new integration created by Microsoft that brings Python programming directly into Excel workbooks, for advanced data analytics. With Python in Excel, it is now possible to embed Python code...
Mostly Harmless Fixed Effects Regression in Python with PyFixest ▶ Recording 📝 Transcript

Alexander Fischer

This session introduces PyFixest, an open source Python library inspired by the "fixest" R package. PyFixest implements fast routines for the estimation of regression models with high-dimensional fixed effects,...