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Ya i felt the same but held back because there is a implementation of transposition_cipher.py. But that's is different from the one i have implemented here.
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* Replacing the generator with numpy vector operations from lu_decomposition.
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* Conolidated two scripts reverse_letters.py and reverse_long_words.py into one because of similar functionality
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* In place of calculating the factorial several times we can run a loop k times to calculate the combination
for example:
5 C 3 = 5! / (3! * (5-3)! )
= (5*4*3*2*1)/[(3*2*1)*(2*1)]
=(5*4*3)/(3*2*1)
so running a loop k times will reduce the time complexity to O(k)
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* to add the trapped water program
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* to remove falsy
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* tuple[int, ...]
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* Replacing the generator with numpy vector operations from lu_decomposition.
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* ValueError: Number 22.2 must instead be a positive integer
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* Let's use self-documenting variable names
This is complex code so let's use self-documenting function and variable names to help readers to understand.
We should not shorten names to simplify the code formatting but use understandable name and leave to code formatting to psf/black.
I am not sure if `nbor` was supposed to be `neighbour`. ;-)
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