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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.
The Formula1_Race_Simulator is a cutting-edge Python project designed to bridge the excitement of Formula 1 racing with the precision of data science. Leveraging Python's robust capabilities, including the matplotlib library for graphical representations, this simulator offers an immersive exploration into the dynamics of F1 races.
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.
8 gru 2023 · What is FastF1? FastF1 is a simple yet powerful tool for anyone interested in Formula 1. It's a Python library that lets you easily access and analyse F1 data. The library grants you access to a wide range of F1 data, including lap timing, car telemetry, position, tyre data, weather data, event schedules, and session results.
24 paź 2021 · This tutorial will get you started with everything need to go analyze Formula 1 data yourself. It’ll show you through the basics of setting up your Python environment and help you to set up...
29 sty 2022 · This tutorial will show you how you can visualize the pitstop- and tyre strategies of a race, like in the following figure: Doing this will learn you how reshape the raw data to the format we...
This simulation framework uses Python's OOP capabilities to model and analyze the complex interplay of factors in Formula 1 racing. By incorporating randomness and strategic elements, it offers a nuanced view of racing dynamics.
