Top Tweets for #FastF1
Read this story from Raúl García on Medium: https://t.co/Yjsn1An9Ht
#Python #DataVisualization #PythonLibraries #F1 #FastF1 #Formula1 #USGP
I just published Violin Plots in F1 Analysis using python: #USGP2023 https://t.co/YgPaF6N75s
#Formula1 #Formula1Data #Python #PythonProgramming #FastF1 #F1 #DataVisualization #DataAnalytics #DataScience
I just published FastF1 Tutorials: Get 2023 F1 Laps data https://t.co/HKh0iHyuSW
#JapaneseGP #FastF1 #F1 #Formula1 #FormulaOne #Python #PythonLibraries #RacingDataLab
I just published FastF1 Tutorials: Drawing a F1 circuit https://t.co/CpaQb9pSD6 #SingaporeGP #JapaneseGP #FastF1 #Python #Datavisualization #DataAnalytics
Currently exploring the #FastF1 library and I have never enjoyed Python more. I'm late to the party, but this stuff is incredible.
I just published Telemetry Analysis for F1 Enthusiasts | Chapter I: Introduction
Learn how to get F1 telemetry in real time using FastF1 python library. https://t.co/VdPzg6Axk7
#DataScience #MachineLearning #BusinessAnalytics #BusinessIntelligence #F12023 #Python #FastF1
Dopo la discussione di ieri tra #Perez e #Verstappen con @MarcoGhezzi_ abbiamo rivisto l'episodio di #MonacoGP. Dai dati di velocità (ingresso curva più lento) e dell'acceleratore di Perez in curva 8 sembra più un atto voluto che un errore. #BrazilGP #f1
Dati da #fastf1
What happens when we assume the data we have is more accurate than it is? Incorrect insights. I show the perils of using the data from FastF1 in my latest post. https://t.co/YcsRXTMX2d #formulaone #f1 #fastf1 #DataScience #DataAnalytics
Seeing a lot of my racepace graphs flying by on Twitter these days 👀
Also want to learn how to create these analyses? Check out this article from a few months ago👇🏻
#Formula1 #DataAnalysis #Fastf1 #Python
https://t.co/iTbR7G3lCl
An afternoon well spent. Lets have a look at the qualifying speeds between @Charles_Leclerc and @Max33Verstappen so far this season 👇👇👇👇
Day 22 - #100DaysOfCode
I am so so so thrilled to have begun using #FastF1 #Python library to really get stuck in for my passion for @F1 and @redbullracing ! I am really pleased how my first attempts at generating plots turned out! Pictures to follow...
Endless thanks to @f1dataanalytics and @_ProjectF1 for inspiration and code tutorials to get started, and of course the #FastF1 python package for data.
Get professional #Formula1 data and anlyze them in your #RaspberryPI with #fastf1 and #python. Full tutorial with the examples to generate amazing interactive charts #linux
https://t.co/eS102rSDwK
🆕How to Analyze Formula 1 Telemetry in 2022?
With new updates to the #Fastf1 Python-library, some things have changed in the approach to analyzing telemetry.
Check out my tutorial on how to analyze telemetry on Medium!
#Formula1 #Python #DataScience
https://t.co/5aX6j0PDXv
Step 1 of my rambly #F1DataScience project had me use the position data of each racer in Bahrain to extract the track.
PS: Anyone know why #FastF1 doesn't have the second race already?
( #TBT for me working with automotive spatial data. Hello to those who know. )
There appears to be an issue with the #FastF1 library affecting telemetry and lap data from the Saudi Arabian GP Race. Hopefully will be resolved soon!
Finetuning my scripts.
Just showing some exceptional races in F1 history by showing the data.
Thanks to @f1dataanalytics and #fastf1. Got things working the way I wanted using CSV files. Will continue to learn and hopefully understand get things going with the json and ergast
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