Technology / Python
Python Development
Python is a general-purpose programming language widely used for AI systems, backend services and data-heavy applications.
Why We Use It
Python has the deepest ecosystem for applied AI work — model integration libraries, data processing tools and a mature web framework landscape — making it a strong default for AI-adjacent backend systems.
Our Expertise
We use Python across AI development, backend APIs and automation, typically paired with FastAPI or Django depending on the shape of the system being built.
Use Cases
Typical Use Cases
AI & LLM Integration
Backend services connecting applications to language models and AI pipelines.
Backend APIs
REST APIs built with FastAPI or Django REST Framework.
Automation & Data Pipelines
Scripted and scheduled processes handling data extraction and transformation.
How It Fits Our Architecture
Python typically sits in the service layer of our architecture: handling business logic, AI orchestration and API endpoints, backed by PostgreSQL or Redis and deployed via Docker.
Related
Related Services
Related Technologies
FAQ
Frequently Asked Questions
Yes, when the architecture is designed correctly — Python handles orchestration and business logic, while performance-critical operations use optimized libraries or are offloaded appropriately.
It depends on the project: FastAPI for lightweight, high-throughput APIs and AI services; Django when a fuller framework with built-in admin and ORM tooling fits better.
Yes — Python services are commonly exposed as APIs that a PHP application or any other client can consume.