PyData Amsterdam 2024

Introduction

These days I was very happy to attend my first PyData conference, in Amsterdam 🇳🇱

Tutorials

First, there were the tutorials! They took place at OBA Oosterdok 📚 - a cool library next to the Amsterdam Centraal train station.

The first one I attended was on Py03, we went through some exercises on writing Python modules in Rust 🦀

Then, we worked on writing some Polars plugins for some interesting use cases 🐷

#![allow(clippy::unused_unit)]
use polars::prelude::*;
use pyo3_polars::derive::polars_expr;
use std::fmt::Write;

#[polars_expr(output_type=String)]
fn pig_latinnify(inputs: &[Series]) -> PolarsResult<Series> {
    let ca: &StringChunked = inputs[0].str()?;
    let out: StringChunked = ca.apply_into_string_amortized(|value: &str, output: &mut String| {
        if let Some(first_char) = value.chars().next() {
            write!(output, "{}{}ay", &value[1..], first_char).unwrap()
        }
    });
    Ok(out.into_series())
}

This is all about pig-latinify!

The conference

The event took place in a cool location in Amsterdam North, at Kromhouthal. I have to say that everything was well-organized, and the event was very professional.

There were some cool presentations on Polars, DBT, data science for social good and more. The one that I enjoyed the most was not a talk, but another workshop on Narwhals which is a dataframe-compatibility library.

In this workshop, we worked on some good-first-issues on GitHub and got more familiar with the project. If the related Pull Request (PR) was approved, you would end up getting a GIF