Python for
AI and data.

The standard language for AI, machine learning and data. From first experiment to model in production.

AI
Type
Programming language
Ecosystem
PyTorch, pandas
Role
AI & data
(01) Explanation

What is Python?

Python is a programming language known for readable code and a huge ecosystem for data and AI. Libraries such as PyTorch, scikit-learn and pandas, and the SDKs of almost every AI provider, are available in Python first. That makes it the language in which AI applications are developed, trained and tested.

(02) Why we use it

Why Python?

01

The AI ecosystem

All the major AI and ML libraries are built for Python.

02

Rapid experimentation

From idea to working prototype in days instead of weeks.

03

From data to model

Clean data, train the model and measure results in one language.

(03) Applications

What we use it for

  • AAI assistants and RAG pipelines
  • BTraining machine learning models
  • CDocument processing and classification
  • DData analysis and forecasting
(04) Advice

When do you choose Python?

Choose Python for any AI or data application. We start with a proof of concept in Python; where speed in production is critical, we move components to Rust.

The trade-off

Python or Rust for AI?

Python is the language of the AI ecosystem: that is where we develop, train and test. We use Rust when a component has to run as fast and efficiently as possible in production. They complement each other.

(05) In our stack

Works with

Contact

Shall we
get acquainted?

Whether you have a concrete plan or just want to brainstorm, we gladly make time for you. No obligations, no sales talk. Just a good conversation about what you need.