baggiponte's Introduction

👋 Hi! I am Luca

$ 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"
  ]
}

🛠 Solving problems with

📚 Learning about...

👾 What I have been up to...

🎬 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 know Polars is fast, but my data pipelines are written in pandas!
🎬 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 use maturin and PyO3 to build python packages with a Rust core 🦀
🎬 pymi-polars: get stared with Polars, a fast dataframe library with an embarrassingly parallel execution engine, written in Rust 🐻‍❄️
🎬 pymi-cookiecutter: get started with cookiecutter, a library to build coding project templates 🍪
🕶 awesome-pandas-alternatives: explore dataframe libraries alternative to pandas.

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