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{ "item_title" : "Python for Motorsport Telemetry", "item_author" : [" Alice Schwartz", "Hayden Van Der Post "], "item_description" : "Reactive PublishingPython 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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/819/140/9798191400983_b.jpg", "price_data" : { "retail_price" : "45.99", "online_price" : "45.99", "our_price" : "45.99", "club_price" : "45.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Python for Motorsport Telemetry|Alice Schwartz

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

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9798191400983
  • ISBN-10: 9798191400983
  • Publisher: Independently Published
  • Publish Date: August 2026
  • Dimensions: 9 x 6 x 1.7 inches
  • Shipping Weight: 1.79 pounds
  • Page Count: 686

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