* Update cocktail_shaker_sort.py
Added a docstring with clear explanations of the function and its parameters.
Changed variable names i, start, and end for better readability.
Improved comments to describe the purpose of each section of the algorithm.
Adjusted the loop ranges to make the code more concise and readable.
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Provided a clear message when printing the sorted list.
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* Added Lens formulae to the Physics repository
* Resolved the commented issues
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* added mean absolute error to loss_functions.py
* added doctest to mean absolute error to loss_functions.py
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* added mean absolute percentage error
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* Code Enhancements in merge_sort.py
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* Improved Equilibrium Index of an Array.
This is the modifications made to the original code:
1. Create Doctest Instructions: Python "doctest" can be executed by running the following command: python -m doctest -v equilibrium_index.py.
2. Deleted Argument {size}: Deleted the `size` argument because `len(arr)} allows the array's length to be determined inside the function, simplifying and improving the readability of the function signature.
3. Used {enumerate}: To improve code readability and indicate that we're working with element-index pairs, we iterated through the array using both elements and their indices using the `enumerate` function.
4. Optimized the Loop: To prevent pointless additions, the loop was improved by initializing {left_sum} with the value of the first element (arr[0]). Furthermore, since the beginning and last items (0 and size - 1) cannot be equilibrium indices, there is no need to check them, saving further computations.
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* Add function docstrings, comments and type hints
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* Tried new TESTS for the binomial_coefficient
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* Add type
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* Add New Algorithm: Triangular Numbers
* Calculate nth triangular number instead of generating a list
* Handle 0th position and update function name and docstring
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This commit adds a Python script for calculating the Simple Moving Average (SMA) of a time series data.
The script also includes a doctest that verifies the correctness of the SMA calculations for a sample dataset.
Usage:
- Run the script with your own time series data and specify the window size for SMA calculations.
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* don't need to return list because list is mutable
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* added the algorithm to compute the terminal velocity of an object falling in a fluid
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* Add: Time Conversion Function
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* adding new physics algorithm: center of mass
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