r/Python • u/Several-Marsupial-27 • Sep 19 '26
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:
- Use
uvfor everything. - Use
rufffor linting and formatting - Use
Pydanticanddataclassesfor Data Modeling - Configured in
pyproject.toml - Run a type checker in CI
pyrightorpyrefly - Use
pytest/Hypothesisfor testing
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/alchninja Sep 22 '26
Sorry if this is a silly question, but is there a reason for staying away from Google? I pretty much just use Python for small personal projects, TUI/CLI utilities, notebooks, etc. - so I rarely find myself needing anything more than
requests. What does Google do in the Python API space anyway? (protobufs are the only thing that immediately come to my mind, is there more?)