en/numba_doc

Welcome to Numba Documentation 📚

Numba is a just-in-time (JIT) compiler for Python that translates a subset of Python code into fast machine code. It's designed to work with NumPy arrays and is particularly effective for numerical computing tasks.

Key Features

• Speed Optimization: Accelerate numerical computations with GPU or CPU support.
• Seamless Integration: Works directly with NumPy and CUDA-enabled GPUs.
• Easy to Use: Decorate functions with @jit for automatic compilation.

For deeper insights, check our official guide to explore advanced usage.

Getting Started

1. Install Numba via pip: pip install numba
2. Import and decorate functions:

   from numba import jit  
   @jit  
   def add(a, b):  
       return a + b  
   

3. Run your code to experience the speed boost!

Explore more at Numba Tutorials or API Reference.