Django
Python 'batteries included' web framework
Python
Versatile language for web, data and AI with clear syntax
Typing: dynamic Created: 1991
Paradigms
object-orientedfunctionalprocedural
Pros and Cons
Ventajas
- + Clear and easy to learn syntax
- + Huge library ecosystem
- + Dominant in Data Science and ML
- + Excellent for rapid prototyping
- + Very active community
Desventajas
- - Slower than compiled languages
- - GIL limits real multithreading
- - Dependency management can be complex
- - Not ideal for native mobile
Casos de Uso
- APIs and web backends
- Machine Learning and AI
- Data analysis
- Automation and scripting
- Scientific applications
Frameworks and Libraries (8)
FastAPI
Modern, fast Python framework with types
Flask
Simple and extensible Python microframework
LangChain
Framework for applications with LLMs
NVIDIA Omniverse
3D simulation and collaboration platform
Playwright
Microsoft's E2E testing framework
PyTorch
Preferred deep learning framework in research
TensorFlow
Google's ML framework for production