Backend
Python

Python

The de-facto language for AI, data science and automation — readable, batteries-included.

Latest stable: 3.13

Why teams pick it
  • Best AI/ML ecosystem
  • Fast prototyping
  • Massive package index
  • Cloud-friendly runtimes

Python is our go-to language for ML, data engineering and back-office automation. With FastAPI on the API tier, pandas / Polars in pipelines and PyTorch / TensorFlow for ML, it covers the whole spectrum.

Features

What Python does well

Readable syntax

Indent-based blocks and a thoughtful standard library lower onboarding cost.

AI / ML libraries

PyTorch, TensorFlow, scikit-learn, LangChain, Hugging Face — all native.

FastAPI

Async Python web framework with auto-generated docs and type hints.

Data tooling

pandas, Polars, DuckDB and Apache Arrow for blazing fast pipelines.

Strong typing

mypy, pyright and Pydantic let large codebases stay maintainable.

Use Cases

Where teams use Python

ML model serving

Bento, Triton, Ray Serve or FastAPI for low-latency inference APIs.

Data pipelines

Airflow, Dagster and Prefect for orchestrated ETL/ELT.

Backend APIs

Django for batteries-included web, FastAPI for performance.