How delta-io/delta-examples works
delta-examples is a learning repository: users run notebooks to explore Delta Lake across Spark, Python bindings, Rust, and other data tools. The principal workflow is launching a notebook in its corresponding runtime and following its Delta Lake example. The tree shows substantial topic collections for table operations, interoperability, and analytics. Only the README and one small utility source were sampled, so links between individual examples and underlying operations are not asserted.
Main entry points: pyspark PySpark notebooks · scala Scala notebooks · python-deltalake Python Delta Lake
Components 14
Spark examples
- PySpark notebooks
notebooks/pyspark - Scala notebooks
notebooks/scala - Table operations
notebooks/pyspark/delta-basic-operations.ipynb - Change management
notebooks/pyspark/change-data-feed.ipynb
Python examples
- Python Delta Lake
notebooks/python-deltalake - Tensor transform
notebooks/deltatorch/utils.py - Pandas examples
notebooks/pandas - Polars examples
notebooks/polars - Dask example
notebooks/python-deltalake/dask-deltalake.ipynb
Other engines
- DuckDB examples
notebooks/duckdb - Iceberg example
notebooks/iceberg - Daft example
notebooks/daft
Learning materials
- Example datasets
data
Other components
- Learner
Connections 3
- Learner → PySpark notebooks: runs notebooks
README.md - Learner → Scala notebooks: runs notebooks
README.md - Learner → Python Delta Lake: runs notebooks
README.md