Python

AI and Backend with Python

Python's simplicity and powerful library ecosystem make it a reliable choice for both rapid prototyping and production environments. Its dominance in data science and AI research, combined with recent growth in web backend development, has made full-stack Python projects a reality.

At Detartech we primarily use Python for AI solutions, data processing pipelines and LLM-based applications. We build type-safe async REST APIs with automatic OpenAPI documentation generation using FastAPI. With LangChain, LlamaIndex and Haystack frameworks, we design RAG (Retrieval-Augmented Generation) systems, vector database integrations and agent-based workflows.

Where does Detartech use Python?

When the weight of the work is in the data model and admin screens, Python and Django deliver faster; the concrete example of this choice, described on our MVP development service page, is Anneekspres. The mother and baby products marketplace was built from scratch on Django and PostgreSQL: category-based product management, a seller panel where sellers manage products, stock, orders and sales reports, secure payment and order tracking all run on the same foundation. The message queue was set up with RabbitMQ and the delivery pipeline with Jenkins. Python is also among the technologies we use in our AI solutions.

When is Python the right choice?

When a product's value is concentrated in its data model, admin screens and business rules, Django's built-in admin panel, ORM layer and authentication speed up the first release. In work that involves data processing, reporting and AI integration, Python's library ecosystem saves time as well.

When is Python not the right choice?

When transaction complexity, role structure and enterprise integration dominate, we build the backend with .NET; for many concurrent connections and I/O-heavy workloads, Node.js comes first. The deciding criterion is not the popularity of the language but who will maintain the system after handover, whether engineers are available for that technology, and whether hosting can stay in the client's own account.