Server crashes under load, and backend can't handle thousands of requests? Python with FastAPI and async/await provides asynchronous processing, while Django delivers a powerful admin panel and ORM for complex business logic. Plus integration with ML models and neural networks where needed. We choose the framework for the task.
Python website development is the creation of web projects in a language equally good for both backend and data work. We use Django for complex systems and FastAPI for high-load APIs and microservices.
Development with Django and FastAPI — two frameworks covering the full spectrum of web tasks. Including Django.
Django ORM and admin panel out of the box — a ready-made content management system without writing additional code
Integration with ML models, neural networks and analytics tools — Python is unrivaled in data work
Transparent communication, fixed sprints, and clear reporting
Python · Django · FastAPI · PostgreSQL
Python is a language used by both startups and enterprises. We choose the framework for the task: Django for full-featured web applications, FastAPI for fast APIs and microservices.
ORM, admin panel, authentication, forms, templates — everything out of the box. Batteries included, as the community says. A ready-made CMS.
Async framework with automatic Swagger documentation. Validation via Pydantic, speed on par with Node.js. Used for real-time APIs.
Integration with TensorFlow, PyTorch, Pandas. Python backend can call ML models directly without API layers.
Modern testing framework with async test support. Pytest-asyncio, fixtures, parameterization — everything for code quality.
Powerful ORM with full SQL control. Alembic for painless database schema versioning and migrations.
Async HTTP client and server. WebSockets for real-time notifications, streaming, and live dashboards.
Python is the language where a startup turns an idea into a working prototype in a week. And a year later, when the project grows, the same codebase scales to enterprise level. We know how to make this journey without rewriting.
Creating a Python website is not just code. The package includes everything needed for stable operation, scaling, and further product development.
Architecture design — Django monolith or FastAPI microservices, database design, Celery queues.
API development — Django REST Framework for classic REST, FastAPI with auto-documentation for modern microservices.
SEO optimization for Python sites — indexing setup, meta tags, Open Graph and microdata for Django projects. Core Web Vitals improvement.
Admin panels — built-in Django admin, customized to your business processes and employee roles.
DevOps and deployment — Docker, Gunicorn, Nginx, CI/CD, monitoring with Sentry and Grafana.
API for mobile applications — FastAPI and DRF backend for iOS and Android clients, push notifications, data synchronization and authorization.
Recommendation systems, predictive analytics, natural language processing — Python allows embedding ML functionality directly into a web application without additional microservices.
Ordering a Python website means getting a product that is developed quickly, easily integrates with data analysis tools, and runs stably under load.
We choose the framework for the load: Django for admin panels and CRMs, FastAPI for high-load APIs with async endpoints.
Integration of machine learning models, Pandas for analytics, Celery for background tasks. Turning data into business decisions.
Django ORM with optimized queries, built-in admin, REST Framework, Swagger — API documentation generated automatically.
Python is an investment in development speed and flexibility. We build applications that can be extended in weeks, not months, and that easily integrate with any ecosystem tools: from neural networks to enterprise CRMs.
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