• Add a new autoinspect API and remove default expectations.
• Improve details for expect_table_columns_to_match_ordered_list (#379, thanks @rlshuhart)
• Linting fixes (thanks @elsander)
• Add support for dataset_class in from_pandas (thanks @jtilly)
• Improve redshift compatibility by correcting faulty isnull operator (thanks @avanderm)
• Adjust partitions to use tail_weight to improve JSON compatibility and
  support special cases of KL Divergence (thanks @anhollis)
• Enable custom_sql datasets for databases with multiple schemas, by
  adding a fallback for column reflection (#387, thanks @elsander)
• Remove IF NOT EXISTS check for custom sql temporary tables, for
  Redshift compatibility (#372, thanks @elsander)
• Allow users to pass args/kwargs for engine creation in
  SqlAlchemyDataContext (#369, thanks @elsander)
• Add support for custom schema in SqlAlchemyDataset (#370, thanks @elsander)
• Use getfullargspec to avoid deprecation warnings.
• Add expect_column_values_to_be_unique to SqlAlchemyDataset
• Fix map expectations for categorical columns (thanks @eugmandel)
• Improve internal testing suite (thanks @anhollis and @ccnobbli)
• Consistently use value_set instead of mixing value_set and values_set (thanks @njsmith8)