We build APIs, automation, and data workflows with Python using FastAPI/Django and rich libraries.
Python is a high-level, general-purpose programming language known for readability and rapid development. It powers APIs, automation, data processing, AI/ML workflows, and DevOps tooling across modern stacks. With frameworks like FastAPI, Django, and Flask, Python enables robust, secure, and scalable backends. It integrates well with databases, cloud services, and message queues, making it ideal for microservices.
We use Python for API services (FastAPI/Django), internal automation scripts, and data pipelines. It supports ML/analytics prototypes and utilities that complement our JS/Node.js microservices. We build cron jobs, ETL tasks, and CLI tools in Python for reliability and maintainability. Python helps us ship fast for integrations, webhooks, and server-side tasks where clarity matters.
Backend APIs and microservices
Automation, ETL, and DevOps tooling
ML/AI prototyping and data analysis
Systems scripting and integrations
Clean syntax and a rich standard library accelerate development. Strong ecosystem (FastAPI, Django, Celery, SQLAlchemy) for production use. Excellent community, docs, and long-term stability. Seamless interop with cloud services, queues, and databases makes Python a reliable backbone for modern backends.
Rapid prototyping with strong typing via Pydantic
Mature testing ecosystem (pytest) and linters (ruff, flake8)
Great async support with FastAPI/uvicorn
Broad library support for data, ML, and integrations
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