Cruzata
Back end

Python Development Services: Web, Data and AI

Python connects your web back end to your data and AI. We use it where speed of development and a rich ecosystem create the most value.

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Where we use Python

Web back ends

Django and FastAPI services and APIs.

Data engineering

ETL, pipelines and warehouses.

AI & ML

Models, RAG and LLM apps.

Automation

Scripts, bots and workflow tools.

Django versus FastAPI versus Flask

StrengthBest for
Django Batteries included: ORM, admin, authFull applications and back offices
FastAPI Async, typed, high-performance APIsAPI-first and ML-serving services
Flask Minimal and flexibleSmall services and prototypes

One language from API to model

Python’s advantage is breadth. The same team can build the API, the data pipeline that feeds it and the model that makes it smart, which reduces handoffs and translation errors.

We write typed, tested, linted Python and deploy it in containers with proper observability.

  • Type hints and static analysis
  • pytest suites and CI
  • Docker and cloud deployment
  • Async workers with Celery

Delivery standards

Typing
mypy / pyright
Testing
pytest
Style
ruff / black
Deploy
Docker, CI/CD

Python ecosystem

Web

  • Python 3.12
  • Django
  • Django REST Framework
  • FastAPI
  • Flask
  • Celery

Data & AI

  • pandas
  • NumPy
  • scikit-learn
  • PyTorch
  • LangChain
  • Airflow
  • dbt

Quality & ops

  • pytest
  • mypy
  • Poetry
  • Docker
  • GitHub Actions
  • Sentry

Related solutions

Outcomes we deliver with this.

Services we provide

Engineering and design capabilities behind it.

Industries we serve

Typical sectors where we deliver this.

Hire specialists

Add engineers who work in this space.

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Node.js

Node.js lets us build fast, event-driven back ends in the same language as your front end, with structure and testing that keep them maintainable.

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FAQ

Python: frequently asked questions

Web back ends, data processing, automation, analytics and AI and machine learning.

For most business systems, yes. Where performance is critical we use async, caching and, when needed, compiled libraries or other services.

Django for full applications with admin and ORM; FastAPI for high-performance, API-first services.

Yes, with the right tools such as Spark, warehouses and efficient pipelines.

Start your python project

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