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News & links about Python programming.
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Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite

Numba now runs entirely in the browser through JupyterLite, compiling Python functions to WebAssembly with a new LLVM-based execution engine and delivering substantial performance gains without a server. The work also unlocks browser-native support for the broader Numba ecosystem, including PyMC, PyTensor, and other scientific computing libraries.

https://notebook.link/blog/numba-in-the-browser/
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Prototype on a laptop, scale to 16 billion rows: one Polars query

The post shows how to prototype a data pipeline locally on 97 million Polymarket orderbook rows, then run the same LazyFrame queries on 16 billion rows using distributed execution. The pipeline pre-aggregates the raw data into small Parquet artifacts in S3 that power a responsive Plotly Dash dashboard without scanning the full dataset on each request.

https://pola.rs/posts/market-data-to-plotly-enterprise-dashboard/
jsonfold: Making Pretty-Printed JSON Compact and Readable in Python

jsonfold is a streaming post-filter that compacts pretty-printed JSON by folding small arrays and objects onto single lines while preserving existing serializers and custom encoders. It processes JSON incrementally without reparsing the document, keeping additional memory usage bounded while producing more compact, human-readable output for large JSON files.

https://medium.com/@yair.lenga/a-streaming-json-formatter-that-works-with-existing-serializers-eced220da37d
Thinking in Python by Bruce Eckel

https://thinkinginpython.com/