A Little Book of Time Series with Python is a concise, practical guide designed as a quick reference for students, and analysts seeking to understand and apply time series analysis using Python. Inspired by Avril Coghlan’s A Little Book of R for Time Series, this volume preserves the original’s philosophy of simplicity and brevity while fully adapting the content to the modern Python ecosystem—the dominant language for data science, machine learning, and applied analytics. It emphasizes the enduring importance of statistical foundations in time series analysis and demonstrates how to implement them effectively with contemporary Python tools and libraries. Mirroring the structure and pedagogical approach of its R predecessor, the booklet provides clear explanations, code examples, and workflows tailored to Python, making it an ideal resource for concept clarification, interview preparation, self-study, and rapid application in real-world projects.