Kagglehub

* Add a naive Colab dataset cache resolver ([177](https://github.com/Kaggle/kagglehub/pull/177))
* Add `keras_hub` as user-agent ([176](https://github.com/Kaggle/kagglehub/pull/176))

* Hide API key in terminal when prompting in `kaggle.login(...)` ([173](https://github.com/Kaggle/kagglehub/pull/173))
* Reduce logging spam when using `force_download` in Kaggle notebook environment ([172](https://github.com/Kaggle/kagglehub/pull/172))

* Fallback to next auth mechanism if auth environment variables are set but empty ([168](https://github.com/Kaggle/kagglehub/pull/168))
* `kaggle.whoami()` returns proper value in Kaggle Notebook environment ([166](https://github.com/Kaggle/kagglehub/pull/166))
* `kaggle.whoami()` returns proper value when using Colab secrets ([165](https://github.com/Kaggle/kagglehub/pull/165))

* Attach competition in Kaggle notebook environment ([161](https://github.com/Kaggle/kagglehub/pull/161))
* Download competition using `kagglehub.competition_download(...)` ([158](https://github.com/Kaggle/kagglehub/pull/158))
* Enable authorization via Colab secrets ([157](https://github.com/Kaggle/kagglehub/pull/157))

* Integrate Keras metrics ([152](https://github.com/Kaggle/kagglehub/pull/152))
* Enhance logging messages ([151](https://github.com/Kaggle/kagglehub/pull/151))
* Upgrade Python version support to 3.9 and above ([154](https://github.com/Kaggle/kagglehub/pull/154))

* Improve upload by ignoring patterns ([147](https://github.com/Kaggle/kagglehub/pull/147))
* Upload with empty files ([145](https://github.com/Kaggle/kagglehub/pull/145))
* Attach dataset in Kaggle notebook environment ([134](https://github.com/Kaggle/kagglehub/pull/134))
* Upload datasets using `kagglehub.dataset_upload(...)` ([149](https://github.com/Kaggle/kagglehub/pull/149))
* Download datasets using `kagglehub.dataset_download(...)` ([131](https://github.com/Kaggle/kagglehub/pull/131))