Backend
Python
Where the ecosystem wins - data, ML, scripting.
What it is
Python is everywhere data and ML are happening. For applied-AI work, for data pipelines, and for infrastructure scripting, Python is almost always our default - not because the language is great, but because the library ecosystem is.
Why we reach for it
- The richest ecosystem for data, ML, and AI - numpy, pandas, pytorch, langchain, anything you need.
- Most AI model providers ship their best-supported SDK in Python first.
- Excellent for scripting, glue code, and automation - often the right tool for the 20% that Node.js handles awkwardly.
- Mature frameworks (FastAPI, Django) for when we need a full Python backend.
When we don’t
- -High-performance CPU-bound services - Python is slow enough that Go or Rust is usually the right call.
- -Frontend or mobile - the language is just not the right tool.
Where it shows up
Engagements where Python typically lands.
Also in Backend
Working with Python?
Tell us what you’re shipping.
30 minutes, no pitch deck. We’ll ask what you’re building, what hurts, and whether we’re the right fit. Python expertise is table stakes - we talk scope, not résumés.