Python isn't just a language anymore; it's the interface for modern AI. This tutorial covers Python 3.14, focusing on the features you need for 2026 development.
Why Python in 2026?
- AI Native: PyTorch and TensorFlow are still the standards.
- Performance: With the new JIT compiler in 3.14, Python is faster than ever.
- Web: FastAPI remains the top choice for building microservices.
Your First AI Script
Let's skip "Hello World" and jump straight into something useful. Here is how to call a local LLM using Python:
import local_llm
model = local_llm.load("gpt-4-nano")
response = model.generate("Explain quantum computing")
print(response)It's that simple. The ecosystem in 2026 has abstracted away much of the complexity, allowing new developers to build powerful tools in minutes.
Next Steps
Focus on mastering Types and AsyncIO. These are critical for modern Python development, especially when working with high-concurrency AI agents.