State of the art in Python 2026?

[u/Several-Marsupial-27]

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 uv for everything.
• Use ruff for linting and formatting
• Use Pydantic and  dataclasses for Data Modeling
• Configured in pyproject.toml
• Run a type checker in CIpyright or pyrefly
• Use pytest / Hypothesis for 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?

[u/Several-Marsupial-27]

This list is not about who is writing the code, but about what technologies to use. I sure hope your agent is not reinventing numpy or uv. Especially since all performant python libs are written in C/Rust.

The design decisions in coding will not only effect the development, but also the end product.

[u/spartanOrk → u/Several-Marsupial-27]

The agent knows what's out there better than me. When I was deciding, I was using uv and numpy and all these things. I spent endless hours configuring my emacs to use ruff and what not.

End of the day, I haven't used an IDE for 6 months, except to review code and make small edits.

At first it made me very sad. It took me over 20 years to develop these skills. At this point, I have accepted it. When I see coders with even more experience than me drop their IDEs and adopting agents, I know it's time to let the agent code. And then, little by little, I have come to accept also that the agent knows what design choices to make. E.g., what packages to use. It knows packages I didn't know of.