* update wide option output ([#22772](https://github.com/kubernetes/kubernetes/pull/22772), [@AdoHe](https://github.com/AdoHe))
* Change scheduler logic from random to round-robin ([#22430](https://github.com/kubernetes/kubernetes/pull/22430), [@gmarek](https://github.com/gmarek))

Please see the [Releases Page](https://github.com/kubernetes/kubernetes/releases) for older releases.

## Major Features and Improvements

*   Support for Python3.9 has been added.
*   `tf.data`:
    *   `tf.data` service now supports strict round-robin reads, which is useful
        for synchronous training workloads where example sizes vary. With strict
        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.

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