Numba: Faster numerical code in Python made simple

The video introduces Numba, a library that enhances Python's numerical code performance using a Just-In-Time (JIT) compiler. It contrasts Python's convenience with its slower speed compared to languages like C and Fortran. Numba allows Python functions to be compiled into machine code at runtime, offering significant speed improvements with minimal code changes. Examples include a Monte Carlo simulation and Conway's Game of Life, demonstrating Numba's ability to accelerate computations. The video also discusses Numba's compilation strategies, including 'no Python' mode for maximum optimization.

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