TopN AnalyticsTechnology
Python
Our default language for data engineering, data science, and automation; mature tooling, huge ecosystem, easy to hand off.
Our Experience
How we typically use it
We write production Python with the same standards as application code: typed, tested, and documented.
Implementation Patterns
Where it fits
- Pipeline and transformation logic
- Model training and evaluation
- Internal automation and tooling
FAQs
Common questions
- Do you hand off maintainable code?
- Yes; production logic is delivered as documented, tested code your team can own, with notebooks reserved for exploration only.