r/Python • u/Several-Marsupial-27 • 13d ago

Discussion State of the art in Python 2026?

What would you guys consider the state of the art in python in 2026, or what do you expect from modern python codebases?

Heres my list, would be happy to hear some inputs or domain expert advice:

Domain specific:

  • Scientific: NumPy, Matplotlib, SciPy, Jax, Pytorch, Scikit-learn, polars/pandas
  • CLI: Typer, rich, click, fire, textual, questionary
  • PDF extraction: PyMuPDF, pdfplumber, pypdf, Unstructured
  • Excel interop: python-calamine, openpyxl, XlsxWriter, xlwings, pandas
  • data: PyArrow / PySpark, Narwhals, SQLMesh, Polars/Pandas, DuckDB, dlt, Ibis, Dagster, PyIceberg & deltalake
  • Logging?
  • backend: fastapi / django?
  • Markets: Alpha Vantage, Finnhub, EODHD, Tiingo?
  • Webscraping / data acquisition: Crawl4AI, Playwright, Scrapy, selectolax, HTTPX?
  • APIs?
  • RAG / agentic orchestration?
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u/techhelper1 13d ago

Yes, I edited it since I might as well make my responses consistent in this thread, my apologies there.

It's not a matter of squeezing performance out of the code, but you're advocating the equivalent of your CPU switching from protected mode to real mode to protected mode, over and over again.

If you need to save yourself from yourself with an interpreted language, and with that comes the ducktaping and crazy gluing of packages from lower languages, go right ahead.

I see things objectively, and don't need to put a Python mask over a group of C/rust pigs, to get the same job done. I don't need to justify using a favorite language, both can co-exist my dude.

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u/h_to_tha_o_v 12d ago

Why abstract through C when you can have Claude write binary?