* Enable users to leverage `set_defaults` functionality so they don't have to keep invoking individual settings on a per swifter invocation basis
1.1.3
* Enhance the robustness of swifter by randomizing the sample index to avoid sparse data impacting the validity of apply validation * Resolve issue where functions that return a non array-like cause swifter to fail on vectorization
1.1.2
* Resolve installation issue by removing import from setup.py
1.1.1
* Resolve installation issues by removing modin dependency, and modin apply route for axis=1 string applies * apply_dask_on_strings returns to original functionality, which allows control over whether to use dask or pandas by default for string applies
1.0.7
* Sample applies now suppress logging in addition to stdout and stderr * Allow new kwargs `offset` and `origin` for pandas df.resample
1.0.6
* Fix warnings introduced in 1.0.5 to appropriate warn when using an apply function