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* Add support for running Spark Connect client inside the Dataproc s8s batch ([#150](https://github.com/GoogleCloudDataproc/dataproc-spark-connect-python/issues/150)) ([e5b1708](https://github.com/GoogleCloudDataproc/dataproc-spark-connect-python/commit/e5b17086d1fbd37a91b50fe4c725df0e5eb5fcd8))
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* add support for sparksql magic ([#137](https://github.com/GoogleCloudDataproc/dataproc-spark-connect-python/issues/137)) ([274f013](https://github.com/GoogleCloudDataproc/dataproc-spark-connect-python/commit/274f0135d2f6b0fe65511eb79ca0f4154377cd4c))
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### Bug Fixes
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* Ensure DataprocSparkConnectException displays error messages in all Jupyter environments ([#136](https://github.com/GoogleCloudDataproc/dataproc-spark-connect-python/issues/136)) ([1fc26f5](https://github.com/GoogleCloudDataproc/dataproc-spark-connect-python/commit/1fc26f597a67542a562b1c2d0a57e4276827802b))
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