The next library you'll need is Pandas, which will let you import the dataset and view it in columns as a "data frame." It's ...

Be it a Google Colab notebook, AWS Lambda function, an Airflow DAG, your local laptop, or a GPT-4 assisted development playground—dlt can be dropped in anywhere. Explore ready to use sources (e.g.

Only the notebook inputs (and optionally, the metadata) are included. Text notebooks are well suited for version control. You can also edit or refactor them in an IDE - the .py notebook above is a ...