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




