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Timefold Solver for Python 1.11.0-beta

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@timefold-release timefold-release released this 19 Jun 16:06

Today, we are happy to announce Timefold Solver for Python!

In this first Beta release, we give the Python ecosystem access to Timefold Solver and all of its features. We invite you to try out our new Python quickstarts and let us know what you think. Do you like the APIs? Does it integrate well with your Python projects? How's the performance? We need your feedback!

Timefold Solver for Python will move out of Beta once we've heard back from enough of you. While in Beta, we reserve the right to change APIs and to add or remove functionality based on user feedback. Once we leave Beta, we will provide the same backwards compatibility guarantees as with Timefold Solver for Java.

Contributors

We'd like to thank the following people for their contributions:

  • Christopher Chianelli
  • Geoffrey De Smet
  • Jente De Meyer (@Jdmbs)
  • Lukáš Petrovický (@triceo)

Timefold Solver Community Edition is an open source project, and you are more than welcome to contribute as well!
For more, see Contributing.

Should your business need to scale to truly massive data sets or require enterprise-grade support,
check out Timefold Solver Enterprise Edition.

How to use Timefold Solver in Python

To see Timefold Solver in action, check out the quickstarts.

Add timefold==1.11.0-beta to your requirements.txt or pip install timefold==1.11.0-beta file to get started.

Additional notes

The changelog and the list of contributors above are automatically generated.
It excludes contributions to certain areas of the repository, such as CI and build automation.
This is done for the sake of brevity and to make the user-facing changes stand out more.