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

Data scientists and data engineers often find themselves caught between two worlds: SQL and Python. Some find SQL more intuitive, especially when combined with a powerful engine like BigQuery to process data at scale. Others find it easier to work in Python with its rich ecosystem of libraries and runtimes.