Mastering Anomaly vs Novelty Detection with Distribution Fitting in Python

This article explains the fundamental differences between anomaly and novelty detection, outlines how to model univariate outliers using probability distribution fitting with the distfit library, and demonstrates the workflow on synthetic height data and real natural‑gas price data, including model selection, visualization, and prediction.

PythonStatistical Modelinganomaly detection

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Mastering Anomaly vs Novelty Detection with Distribution Fitting in Python

Python Programming Learning Circle

Jun 13, 2025 · Fundamentals

Analyzing 2013 Toulouse Airport Weather Data with Python, pandas, and SciPy

This tutorial demonstrates how to import, clean, and explore 2013 weather observations from Toulouse Airport using Python libraries such as pandas and SciPy, perform consistency checks, visualize temperature trends, assess variable correlations, and fit probability distributions—including normal, log‑normal, and Weibull—to the data.

PythonWeather Datadistribution fitting

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Analyzing 2013 Toulouse Airport Weather Data with Python, pandas, and SciPy