How can I use Numba to speed up my Python code?
An example of an AI chatbot conversation about using Numba for Python performance optimization.
How can I use Numba to speed up my Python code?
You can use Numba by adding the @jit decorator to your functions. This compiles them to machine code for faster execution.
Are there specific types of functions that benefit more from Numba?
Yes, Numba works best with numerical functions, especially those involving loops and array operations.
Can I use Numba with NumPy arrays?
Absolutely! Numba is designed to work seamlessly with NumPy, allowing you to accelerate array computations.
What are the limitations of using Numba?
Some limitations include unsupported Python features, and it may not speed up all types of code, especially I/O bound tasks.
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