PyConDE & PyData Berlin 2024

Raúl Cumplido

I started working with Python in 2008 with Python 2.5 and since then it became my language of choice. I have been involved in the Spanish Python community being one of the co-founders of the Python Spanish Association. I have been involved in the organisation of EuroPython in Bilbao, several PyCon ES (Spain) and the Barcelona meetup.
A couple of years ago I started working in Apache Arrow and since then I have become a committer and a PMC member and I want to share to the rest of the world what we have done and what we are doing.


X / Twitter handle

@raulcumplido


Session

04-24
13:00
90min
A deep dive into the Arrow Columnar format with pyarrow and nanoarrow
Joris Van den Bossche, Raúl Cumplido, 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 tutorial will dive deep into the details of the Arrow columnar format, the different types and buffer layouts, and explore those details interactively using the pyarrow and nanoarrow libraries.

PyData: PyData & Scientific Libraries Stack
A03-A04