* Create minimums_squares_to_represent_a_number.py
added a dynamic programming approach of finding the minimum number of square to represent a number.
eg :
25 = 5*5
37 = 6*6 + 1*1
21 = 4*4 + 2*2 + 1*1
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* Update and rename minimums_squares_to_represent_a_number.py to minimum_squares_to_represent_a_number.py
updated the code
* Update minimum_squares_to_represent_a_number.py
I have added the appropriate checks for 0 and 12.34.
It would be great if you could suggest a name for the dp array
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updated
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* added support for inverse of 3x3 matrix
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* Added function that checks if a string is an isogram.
* Added wiki reference and fixed comments.
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* Made function name more self-documenting. Raise ValueError if string contains 1 or more digits. Renamed file. Lowercase string inside function.
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* Included area of n sided regular polygon
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* added script for solving system of linear equations in two variables
* implemented all the suggested changes
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* Updated documentation of cnn_classification.py for much better understanding
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* Added Implementation for XNOR gate
* Added Implementation for OR gate
* Added implementation of NAND gate
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* Create kinetic_energy.py
Finding the kinetic energy of an object,by taking its mass and velocity as input
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* Add function for xor gate
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* Split long comment line into two lines
* 88 characters per line
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* Add Spain National ID validator (#7574)
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* Some systems add a dash
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* Update count_number_of_one_bits.py
removed the modulo operator as it is very time consuming in comparison to the and operator
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Updated with the timeit library to compare. Moreover I have updated my code which helps us in reaching the output comparatively faster.
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* Update knapsack.py
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* Update comments in check_pangram.py script
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* Add web program to fetch top 10 realtime billioners using forbes API.
* Provide return type to function.
* Use rich for tables and minor refactors.
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* Add the top {LIMIT} in rich table title.
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* Create superdense_coding.py
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* Reduced Time Complexity to O(sqrt(n))
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* Add signum function
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* Created sum_of_harmonic_series.py
Here in this code the formula for Harmonic sum is not used, Sum of the series is calculated by creating a list of the elements in the given Harmonic series and adding all the elements of that list !
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* renamed maclaurin_sin.py to maclaurin_series.py and included function for cos approximation
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* Create quantum_random.py
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* Implemented Gelu Function
* Renamed file and added more description to function
* Extended the name GELU
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* Update gaussian_naive_bayes.py
Just adding in a final metric of accuracy to declare...
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