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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 remove falsy
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* tuple[int, ...]
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* ValueError: Number 22.2 must instead be a positive integer
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* Create MajorityVoteAlgorithm.py
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* symmectric tree
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* Added algorithm to deeply clone a graph
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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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* largest divisible subset
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* fix the edge case of the double ended queue pop the last element
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* feat: add gas station
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* Replacing the generator with numpy vector operations from lu_decomposition.
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* Replacing the generator with numpy vector operations from lu_decomposition.
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* Replacing the generator with numpy vector operations from lu_decomposition.
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* Program to convert a given string to Pig Latin
This is a program to convert a user given string to its respective Pig Latin form
As per wikipedia (link: https://en.wikipedia.org/wiki/Pig_Latin#Rules)
For words that begin with consonant sounds, all letters before the initial vowel are placed at the end of the word sequence. Then, "ay" is added, as in the following examples:
"pig" = "igpay"
"latin" = "atinlay"
"banana" = "ananabay"
When words begin with consonant clusters (multiple consonants that form one sound), the whole sound is added to the end when speaking or writing.
"friends" = "iendsfray"
"smile" = "ilesmay"
"string" = "ingstray"
For words that begin with vowel sounds, one just adds "hay", "way" or "yay" to the end. Examples are:
"eat" = "eatway"
"omelet" = "omeletway"
"are" = "areway"
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Photoelectric effect is one of the demonstration of quanta of energy.
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* Moved file relu.py from maths/ to neural_network/activation_functions
* Renamed relu.py to rectified_linear_unit.py
* Renamed relu.py to rectified_linear_unit.py in DIRECTORY.md
