Bridging the gap between SQL and Python with BigQuery and the %%bqsql magic

Google Cloud introduced the %%bqsql magic to bridge the gap between SQL and Python, allowing seamless chaining of data processing workloads. This feature is now available in the open-source ecosystem, making it free to use with packages like Jupyter and BigFrames. To get started, enable the BigQuery sandbox, set up a local Python environment, and install required packages. This will enable data scientists and engineers to work effortlessly between SQL and Python.