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Python 3.12 · Django · FastAPI

🐍 Python & Django
Backend, AI, and Data. All in One.

From Django REST APIs to FastAPI microservices, data pipelines to LLM integrations — our Python engineers write clean, well-tested, production-grade code.

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// Python & Django at Nexcode
// Python & Django expertise
version: "Python 3.12 · Django · FastAPI"
projects: 50+
rating: 4.9★
delivery: "on-time & on-budget"
50+
Python Projects
4.9★
Client Rating
AI/ML
LangChain & PyTorch Experts
Django
& FastAPI Specialists
50+
Python Projects
4.9★
Client Rating
AI/ML
LangChain & PyTorch Experts
Django
& FastAPI Specialists
Use Cases

What we build with Python & Django

Production applications we ship using Python & Django every day.

🌐
Django REST APIs

Full-featured web APIs with Django REST Framework — battle-tested, scalable, and secure.

⚡
FastAPI Microservices

High-performance async APIs with automatic OpenAPI docs and Pydantic validation.

🤖
AI & LLM integration

LangChain, LlamaIndex, OpenAI, and custom model serving — production AI backends.

📊
Data Engineering

ETL pipelines, data transformation, dbt models, and data warehouse connectors.

🔬
machine learning

PyTorch model training, scikit-learn pipelines, and ML model serving at scale.

🕸
Scraping & Automation

Scrapy, Playwright, and Selenium-based data collection and process automation.

Expertise Breakdown

Our Python & Django capabilities

🌐
Django Mastery

Full-Stack Python Web

✓ DRF APIs, Django Admin, ORM, middleware, and signals.
⚡
FastAPI

Modern Async Python

✓ Type hints, Pydantic models, async handlers, and auto-docs.
🤖
AI/LLM Stack

Production AI

✓ LLM integration, RAG pipelines, and agent frameworks — all in Python.
📊
Data & ML

Scientific Python Stack

✓ Pandas, NumPy, PyTorch — the full scientific computing stack.
🧪
Testing

Python Testing Mastery

✓ pytest, factory-boy, and coverage for reliable Python codebases.
☁
Deployment

Python in Production

✓ Gunicorn, uvicorn, celery — Python served efficiently at scale.
Development Process

How we deliver Python & Django projects

01
📋

Scope & Tech Choice

02
🏗

Project Setup

03
⚙

API development

04
🗄

Database & Migrations

05
🤖

AI Integration

06
🧪

Testing & Quality

07
🚀

Deploy

Ecosystem

The full Python & Django ecosystem we use

Web Frameworks
→ Django 5
→ Django REST Framework
→ FastAPI 0.110
→ Flask
AI/ML
→ LangChain
→ LlamaIndex
→ PyTorch
→ HuggingFace Transformers
Data
→ Pandas
→ NumPy
→ SQLAlchemy 2
→ Alembic
Task Queues
→ Celery
→ Redis
→ RQ
→ Apache Airflow
Testing
→ pytest
→ Factory Boy
→ mypy
→ Bandit
Deploy
→ Gunicorn
→ Uvicorn
→ Docker
→ AWS Lambda
When to choose

Python & Django vs alternatives

An honest comparison to help you choose the right technology.

FeaturePython & DjangoPNRG
AI/ML EcosystemBest (PyTorch, sklearn)LimitedLimitedLimited
Web API SpeedFast (FastAPI async)FasterGoodFastest
Developer ProductivityHighHighHighMedium
Data EngineeringExcellentLimitedLimitedGood
Talent PoolVery largeVery largeShrinkingSmaller
Best ForAI/ML, data, versatile backendsReal-time, full-stack JSRapid prototypingHigh-throughput microservices
FAQ

Python & Django
questions

Common Python & Django questions before you decide.

Start a Project →
Django vs FastAPI — which should I use?+
Django for full-featured web applications — when you need admin, ORM, auth, and a mature ecosystem. FastAPI for high-performance APIs, microservices, and anything where async matters. FastAPI is also excellent for AI/ML API serving due to its type system and performance.
Can Python handle high load?+
Yes with the right architecture. FastAPI with uvicorn is genuinely fast. For CPU-bound work, we use Celery workers or offload to dedicated services. For pure throughput, Go or Node.js are faster — but for Python-first teams and AI workloads, Python is the right call.
How do you integrate Python AI with a Next.js frontend?+
REST API via FastAPI is the cleanest approach. We build a FastAPI service that exposes LLM/ML endpoints with streaming support (Server-Sent Events for streaming LLM responses), and consume it from Next.js server actions or API routes.
Do you do data engineering in Python?+
Yes — dbt for transformations, SQLAlchemy for ORM, Pandas for manipulation, and Apache Airflow for orchestration. We build end-to-end data pipelines from ingestion to warehouse.
Related Tech

Often used with Python & Django

🟢
Node.js

Complementary backend for JS teams.

Explore →
🤖
AI & ML Services

LLM and ML projects in Python.

Explore →
🐘
PostgreSQL

Primary database with Python.

Explore →
☁
AWS

Cloud platform for Python services.

Explore →

Ready to build with Python & Django?

Senior Python & Django engineers · Fixed-price quotes · Free discovery call · 24hr proposal.

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