Fastf1

Latest version: v3.5.3

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2.1.1

This release mainly adds support for recording live timing data and using it as a data sources.
(consider this beta functionality)

Additionally, timing data is now loaded without telemetry by default when calling ``Session.load_laps``.
Telemetry data is usually not available anymore. Therefore, this prevents a confusing error.
You will need to record live timing data during a session if you want to have access to telemetry data.
(At least it looks like that. Whether this will change again, I don't know.)

2.1

-------------------

Use the provided wheel to install.
(`pip install fastf1-2.1rc0-py3-none-any.whl`)


Additionally, the cached data for the 2020 Race of the Belgian GP is available below. You can use this if you want to try loading of car telemetry data as this is no longer available from the API for last year's sessions.

Using the cached data:
- extract the zip file in your working directory
- make sure that the directory structure of the cache relative to your working directory is
``./cache/2020/2020-08-30_Belgian_Grand_Prix/2020-08-30_Race``
- enable the new cache functionality when using fastf1

Example:

import fastf1
fastf1.Cache.enable_cache('cache') 'cache' is the relative path to the cache directory
session = fastf1.get_session(2020, 'Belgian GP', 'R')
session.load_laps()

2.1rc

2.0.2

This release mainly fixes some existing bug and tries to be more robust and correct when processing API data.

Changelog: https://theoehrly.github.io/Fast-F1/changelog.html#v2-0-2-api-code-overhaul

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