Generate a Year of Synthetic IoT Temperature Data with Mimesis
The article walks through using Python’s Mimesis library alongside pandas and NumPy to create a year‑long series of daily temperature readings that follow a realistic seasonal pattern, complete with device‑level metadata such as IDs and locations. This synthetic IoT dataset can be used for testing, benchmarking, and developing data pipelines without collecting real sensor data.