$ cat luca.json
{
"work": [
"💻 Machine Learning Engineer at www.xtreamers.io",
"🎓 Computer Science and Statistics TA at www.unimi.it"
],
"open-source": [
"functime-org/functime"
],
"interests": [
"📈 Time series forecasting",
"🏷 Machine learning",
"🎨 Data visualisation"
]
}
- 🎬
pbg-functime: Scalable time-series forecasting with @functime-org @PythonBiellaGroup - 🎬
pbg-polars: @pola-rs marathon @PythonBiellaGroup - 🎬
pydata-global-2023-functime: @pola-rs and @functime-org talk at @pydata - 🎬
kaggledays-functime: Scalable time-series forecasting with @pola-rs - 🎬
pyconpt-polars: I knowPolarsis fast, but my data pipelines are written inpandas! - 🎬
pyconit-polars:Polars: is the great dataframe showdown finally over? 🐻❄️ v 🐼 - 🎬
pyconit-rust-is-easy: Rust is easy, or what Pythonistas can learn to improve on their code 🐍 - 🎬
pymi-pyo3: how to usematurinandPyO3to build python packages with a Rust core 🦀 - 🎬
pymi-polars: get stared withPolars, a fast dataframe library with an embarrassingly parallel execution engine, written in Rust 🐻❄️ - 🎬
pymi-cookiecutter: get started withcookiecutter, a library to build coding project templates 🍪 - 🕶
awesome-pandas-alternatives: explore dataframe libraries alternative topandas.