Adds numba documentation and examples for issue#133

[suryanshgargbpgc]

1 .Adds doc on numba usage.
2. Include example with performance comparision.
3. Adds tests for numba acceleration functions.
4. Makes numba available as an optional dependency.

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All modified and coverable lines are covered by tests ✅

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[suryanshgargbpgc]

@adamamer20, have a look and let me know if I need to change something, I have added numba as an optional dependency

[adamamer20]

Try to use Jupyter notebooks to document the code instead of a markdown file so that the code in the file can be executed and tested when the documentation is built and gives an appropriate output to the end user. See this PR to understand how to do it: #135

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[adamamer20]

I think the main benefit for numba is vectorizing sequential functions. Try to underline that. Also show the time comparison between an example written in numba or standard python directly in the jupyter notebook to show how much faster is it.
Instead of adding an example in the examples folder, maybe write a very simple version of the diffusion example directly in the jupyter notebook? Adding an entirely new example should be handled in its own PR.