Fractional CTO for Python
Python is the go-to language for data science, ML/AI, and increasingly for web backends. We help companies architect Python systems, choose between Django and FastAPI, and build maintainable applicati...
Expert Python Leadership
Python is the go-to language for data science, ML/AI, and increasingly for web backends. We help companies architect Python systems, choose between Django and FastAPI, and build maintainable applications.
Django MVP: 6-10 weeks, FastAPI service: 4-8 weeks, ML integration: add 4-8 weeks
$50,000-$200,000
Why Choose Us
- Readable, maintainable code
- Excellent for data science and ML workflows
- Large ecosystem of well-maintained packages
- Great for rapid prototyping
- Strong community and documentation
Common Python Challenges We Solve
Choosing between Django (batteries-included) and FastAPI (modern async)
Performance optimization for CPU-bound operations
Async programming patterns with asyncio
Type hinting adoption and enforcement
Dependency management with pip/poetry/conda
Scaling Python web applications
Integration between web apps and ML systems
Testing strategies for data-heavy applications
Python Best Practices
Use type hints throughout with mypy enforcement
Implement proper virtual environment management
Use FastAPI for new API projects requiring async
Implement proper exception handling patterns
Use Pydantic for data validation
Set up proper logging with structlog
Use pytest for comprehensive testing
Implement proper dependency injection patterns
Complementary Technologies
Scaling Considerations
Python's GIL limits CPU-bound scaling on single processes. Use multiprocessing, Celery, or horizontal scaling for compute-heavy workloads.
Security Considerations
Use Django's built-in security features, validate all inputs with Pydantic, implement proper authentication, keep dependencies updated.
Performance Optimization
Profile with cProfile, use async for I/O-bound operations, cache with Redis, optimize database queries, consider PyPy for CPU-bound work.
Success Story
Seed-stage AI startup building ML-powered API
Challenge
Needed to serve ML model predictions at scale while maintaining fast iteration on model improvements.
Solution
Fractional CTO designed FastAPI architecture with model versioning, implemented async processing, set up ML pipeline integration.
Result
Serving 1M+ predictions/day with 50ms p99 latency. Model deployment time reduced from days to hours.
Timeline: 3 months
Recommended Team Structure
Python teams often include both web developers and data engineers. Typical: 2-4 backend developers, potentially dedicated ML engineers.
Python Solutions by Industry
Our fractional CTOs specialize in Python implementations across all industries. Find tailored technical leadership for your specific vertical.
Python Experts by Location
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