* Added Viterbi algorithm Fixes: #7465
Squashed commits
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* Create recursive_approach_knapsack.py
Added a new naïve recursive approach to solve the knapsack problem.
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* Update password_generator.py
1. Use secrets module instead of random for passwords as it gives a secure source of randomness
2. Add type annotations for functions
3. Replace ctbi (variable for the characters to be included) with a more meaningful and short name
4. Use integer division instead of obtaining the integer part of a division computing a floating point
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* Create centripetal_force.py
Centripetal force is the force acting on an object in curvilinear motion directed towards the axis of rotation or centre of curvature.
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* Create potential_energy.py
Finding the gravitational potential energy of an object with reference to the earth, by taking its mass and height above the ground as input
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* Cleanup the BFS
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* Update maximum_subarray.py
1. Rectify documentation to indicate the correct output: function doesn't return the subarray, but rather returns a sum.
2. Make the function more Pythonic and optimal.
3. Make function annotation generic i.e. can accept any sequence.
4. Raise value error when the input sequence is empty.
* Update maximum_subarray.py
1. Use the conventions as mentioned in pep-0257.
2. Use negative infinity as the initial value for the current maximum and the answer.
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* Create fetch_amazon_product_data.py
This file provides a function which will take
a product name as input from the user,and fetch the necessary
information about that kind of products from Amazon like the product
title,link to that product,price of the product,the ratings of
the product and the discount available on the product
in the form of a csv file,this will help the users by improving searchability
and navigability and find the right product easily and in a short period of time,
it will also be beneficial for performing better analysis on products
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Modified function to return the data in the form of Pandas Dataframe,modified type hints and added a functionality to let the user determine if they need the data in a csv file
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* Implemented Swish Function
* Added more description and return hint in def
* Changed the name and added more descrition including test for sigmoid function
* Added * in front of links
* Adopt Python >= 3.8 assignment expressions using auto-walrus
* updating DIRECTORY.md
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* feat: Implement binary tree path sum (#7135)
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* refactor: Rename `dfs` to `depth_first_search`
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* Refactoring the syntax using list comprehension
* Update detecting_english_programmatically.py
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* Remove unnecessary else statement
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* Spheres union
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* Update volume.py
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* f-strings
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* more tests
* fix non negative
* fix 0 radius
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* fix tests
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* fix tests
* fix print
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* Create malus_law.py
Finding the intensity of light transmitted through a polariser using Malus Law and by taking initial intensity and angle between polariser and axis as input
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Made some changes in the error messages and the docstring testcases
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* Calculate GST Amount
The program helps to get the net amount after GST is added to it.
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* 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 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
* Modified Docstring and improved code
* fixed an error
* Modified docstring
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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.
* Removed check_isogram.py (file renamed).
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* Fixed test failure.
* Raise ValueError when string has non-alpha characters. Removed import.
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* Included area of n sided regular polygon
Added a function to calculate the area of n sided regular polygons
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* added script for solving system of linear equations in two variables
* implemented all the suggested changes
* changed RuntimeError to ValueError
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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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* Added Implementation of NAND gate
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* Updated xnor_gate.py
* Added Implementation of NOT gate in python
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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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* Update boolean_algebra/xor_gate.py
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* Split long comment line into two lines
* 88 characters per line
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