Numba is a Just-In-Time compiler that translates a subset of Python and NumPy code into fast machine code. It is an excellent tool for speeding up numerical computations and scientific computing in Python.
Features
- Just-In-Time Compilation: Numba translates Python functions to machine code on-the-fly, which can significantly speed up execution.
- Support for NumPy: Numba can utilize NumPy arrays and functions, making it easy to integrate with existing code.
- Easy to Use: Numba has a simple syntax and integrates seamlessly with Python.
Getting Started
To get started with Numba, you first need to install it. You can do so by running the following command:
pip install numba
Once installed, you can start using Numba to speed up your code. Here's an example:
from numba import jit
@jit(nopython=True)
def add(a, b):
return a + b
result = add(2, 3)
print(result) # Output: 5
Tutorials
If you're new to Numba, we recommend checking out our tutorials. They cover the basics of using Numba and provide examples of how to use it with different types of code.
Images
Numba Logo
Numba Example