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Welcome to f1-analysis, your go-to repository for analyzing Formula 1 data using the FastF1 library in Python. Overview. This repository is designed to provide a comprehensive toolkit for enthusiasts, analysts, and developers interested in exploring and dissecting various aspects of Formula 1 races.
1 dzień temu · FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry. Main Features. Access to F1 timing data, telemetry, sessions results and more; Full support for Ergast to access current and historical F1 data
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry.
The tutorial focuses on visualizing pitstop and tyre strategies in Formula 1 races using Python libraries such as Fastf1, Pandas, and Matplotlib. It uses the 2021 Russian GP as an example and guides users through setting up the environment, collecting data, and plotting the data.
The article begins by introducing the Fast F1 library, an open-source Python package for accessing Formula 1 historical timing data and telemetry. The author then proceeds to analyze the 2021 Abu Dhabi Grand Prix, providing a brief overview of the race and its results.
Accessing Formula -1 Race's 🏎 historical data using Python . Analyzing the 2021 Abu Dhabi Grand Prix with the Fast F1 library Resources
The theOehrly/Fast-F1 Python package [docs] provides a relatively straightforward way of downloading and accessing telemetry data from the Formula One website and the ergast historical motor racing results database.
