Python for Motorsport Telemetry: Building Data Pipelines and Predictive Strategy Engines for Race Analytics

By Hayden Van Der Post

Reactive Publishing

Python for Motorsport Telemetry provides a comprehensive, hands-on framework for software engineers, data analysts, and motorsport enthusiasts looking to process, analyze, and visualize high-frequency vehicle dynamics data. Using practical Python tools, this guide walks you through the end-to-end architecture required to transform complex sensor outputs into actionable track insights.

What You Will Learn:

Data Ingestion & Cleaning: Parse and normalize telemetry logs (CAN bus, GPS, and ECU outputs) using pandas and NumPy.

Lap Time & Telemetry Analysis: Build custom algorithms to evaluate speed traces, throttle/brake inputs, line selection, and driver consistency.

Predictive Strategy Modeling: Model tire degradation, fuel burn rates, and undercut/overcut scenarios to simulate race dynamics.

Pipeline Architecture: Develop efficient, scalable data pipelines capable of processing continuous stream data for real-time decision-making.

Visualization Frameworks: Create clear, interactive trace overlays and dash displays using matplotlib and plotly for rapid telemetry feedback.

Whether you are designing custom analysis tools for a race team or engineering software for telemetry simulation, this book offers the practical code structures and domain logic required to build professional-grade motorsport data systems.

• Format: Paperback
• Language: English
• ISBN: B0HDHCCMJK
• ISBN13: 9798191400983
• Release Date: August 2026
• Publisher: Independently Published
• Length: 686 Pages
• Weight: 1.79 lbs.
• Dimensions: 1.7" x 6.0" x 9.0"