Subarray Sum Equals K | Efficient Prefix Sum Approach Explained | Python Code

In this video, we will solve the "Subarray Sum Equals K" problem using an efficient prefix sum approach with Python. We’ll walk through the logic, implementation, and how to optimize the solution with a dictionary to count subarrays whose sum equals a target value k.

Here's what you'll learn:

* Understanding the problem statement.
* Using prefix sums to optimize the solution.
* Avoiding exceptions with the .get() method in dictionaries.
* Full code walkthrough with detailed explanations and comments.
For example, given nums = [100, 1, 2, 3, 4] and k = 6, we’ll demonstrate how the code finds the number of subarrays with sum equal to k efficiently.

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