v0.3.0

Added

• Add DataFrame.concat_columns/1 and DataFrame.concat_columns/2 for horizontally stacking
  dataframes.

• Add compression as an option to write parquet files.

• Add count metadata to DataFrame table reader.

• Add DataFrame.filter_with/2, DataFrame.summarise_with/2, DataFrame.mutate_with/2 and
  DataFrame.arrange_with/2. They all accept a DataFrame and a function, and they all work with
  a new concept called "lazy series".

  Lazy Series is an opaque representation of a series that can be
  used to perform complex operations without pulling data from the series. This is faster than
  using masks. There is no big difference from the API perspective compared to the functions that were
  accepting callbacks before (eg. filter/2 and the new filter_with/2), with the exception being
  DataFrame.summarise_with/2 that now accepts a lot more operations.

Changed

• Bump version requirement of the table dependency to ~> 0.1.2, and raise for non-tabular values.
• Normalize how columns are handled. This changes some functions to accept one column or
  a list of columns, ranges, indexes and callbacks selecting columns.
• Rename DataFrame.filter/2 to DataFrame.mask/2.
• Rename Series.filter/2 to Series.mask/2.
• Rename take/2 from both Series and DataFrame to slice/2. slice/2 now they accept ranges as well.
• Raise an error if DataFrame.pivot_wider/4 has float columns as IDs. This is because we can´t
  properly compare floats.
• Change DataFrame.distinct/2 to accept columns as argument instead of receiving it as option.

Fixed

• Ensure that we can compare boolean series in functions like Series.equal/2.
• Fix rename of columns after summarise.
• Fix inspect of float series containing NaN or Infinity values. They are represented as atoms.

Deprecated

• Deprecate DataFrame.filter/2 with a callback in favor of DataFrame.filter_with/2.