Sliding Window Pattern

Concepts covered: pySlidingWindow

The sliding window pattern maintains a "window" over a contiguous portion of a sequence. The window slides through the data, adding elements at one end and removing them from the other. This efficiently solves problems involving contiguous subarrays or substrings. Fixed-Size Window The simplest form uses a fixed window size. Rather than recalculating from scratch for each position, we update the window incrementally: The fixed-size sliding window follows a simple four-step recipe on every iteration: Moving Average A practical application is calculating moving averages, common in time series analysis and financial data: Variable-Size Window More complex problems use a variable-size window that expands and contracts based on conditions. This is powerful for finding optimal subarrays: Unique

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