Fractional knapsack gfg python love babbar dsa cracker sheet

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fractional knapsack is a variation of the knapsack problem where items can be broken down into fractions. the goal is to maximize the total value of items taken while staying within the weight capacity of the knapsack.

here's an informative tutorial on how to solve the fractional knapsack problem in python, inspired by love babbar's dsa cracker sheet:

1. define a class `item` to represent each item with attributes `value`, `weight`, and `value_per_weight`.
2. define a function `fractional_knapsack` that takes a list of items and a knapsack weight capacity as input.
3. sort the items based on their `value_per_weight` in descending order.
4. initialize variables `total_value` and `remaining_capacity`.
5. iterate through the sorted items and add fractions of items to the knapsack until it is full.
6. update `total_value` and `remaining_capacity` accordingly.
7. return the total value of items taken.

here's the python code example:



in this code example, we have defined a class `item` to represent items with their values and weights. we then implement the `fractional_knapsack` function to solve the problem using a greedy approach. finally, we provide an example usage of the function with a sample list of items and knapsack capacity.

feel free to modify the code according to your specific requirements or to test it with different inputs to understand how fractional knapsack works in python.

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