In this release, we've added lots of exciting functionality.
1. Methods `min`/`max` and `rows_with_min`/`rows_with_max` (which is like `argmin`/`argmax`).
2. A `join` method that allows adding prefix/suffix and doesn't suffer from duplicated column names (like the original `pyspark.sql.DataFrame.join` method).
3. More UDFs (see `flicker.udf`)
4. `flicker.recipes` that contains a context manager to automatically remove temporary columns
5. Tab-completion for column names in jupyter and ipython terminal (`df["a<tab>` would complete to `df["apple"]`)
Also added Apache License 2.0.