Fix issue #23

v1.1.1

Fix issue #23

Add compatibility with Python 3.5

v1.1.0

Add compatibility with Python 3.5

First stable release

v1.0.0

Update README.md

Implement RollingGroupby.parallel_apply

v0.1.7

Implement RollingGroupby.parallel_apply

Implement `Series.rolling.parallel_apply`

v0.1.6

Implement Series.rolling.parallel_apply

Implement `Series.parallel_apply` & `DataFrame.parallel_applymap`

v0.1.5

Implement DataFrame.parallel_applymap

Improve efficiency of `DataFrameGroupBy.parallel_apply`

v0.1.4

Improve DataFrameGroupBy.parallel_apply

Series.parallel_map & DataFrameGroupBy.parallel_apply improved

Series.parallel_map:

• Can take all arguments map takes
• Implement progress bar

DataFrameGroupBy.parallel_apply

• Return type is the same as apply return type

DataFrame.parallel_apply: Complet & Implement progress bar

For DataFrame.parallel_apply:

• Now can take all possible arguments of DataFrame.apply
• Implement progress bar (WARNING: Experimental feature)

pip install now installs all needed dependencies

Dependencies are:

• pandas
• pyarrow