This technical guide provides a practical overview of recursive smoothing filters used in data processing. The article covers foundational techniques ranging from simple and exponential moving averages to low-pass filters and basic one-dimensional Kalman updates. It serves as a quick, hands-on resource for developers looking to implement efficient data smoothing algorithms.