Numba

Numba:

“Numba” refers to a just-in-time (JIT) compiler for Python code, specifically designed for numerical computations and scientific computing. It is an open-source library that translates Python code into highly optimized machine code, improving the execution speed of numerical algorithms.

Numba achieves this by leveraging the LLVM compiler infrastructure, which allows it to generate efficient code that can take advantage of modern hardware, such as CPUs and GPUs. By applying type inference and dynamic compilation techniques, Numba can often achieve performance comparable to statically compiled languages like C or Fortran.

Developed by Anaconda, Inc., Numba provides decorators and functions that can be applied to Python functions or entire modules. These decorators indicate to Numba that the code within should be optimized. Numba can automatically detect the types of variables used in the code, generate optimized machine code, and execute the code with improved performance.

Overall, Numba can be a powerful tool for accelerating numerical computations in Python, making it a popular choice among scientific computing and data analysis communities.