Computation times

10:26.187 total execution time for 10 files from auto_examples:

Example	Time	Mem (MB)
Various string encoders: a sentiment analysis example (0020_text_with_string_encoders.py)	03:39.477	1270.4
AggJoiner on a credit fraud dataset (0070_join_aggregation.py)	02:51.874	838.6
Encoding: from a dataframe to a numerical matrix for machine learning (0010_encodings.py)	00:52.899	512.3
Spatial join for flight data: Joining across multiple columns (0060_multiple_key_join.py)	00:47.653	3017.7
Interpolation join: infer missing rows when joining two tables (0080_interpolation_join.py)	00:39.360	2578.9
Fuzzy joining dirty tables with the Joiner (0040_fuzzy_joining.py)	00:34.121	500.5
SquashingScaler: Robust numerical preprocessing for neural networks (0100_squashing_scaler.py)	00:29.233	499.7
Hands-On with Column Selection and Transformers (0090_apply_to_cols.py)	00:15.630	499.7
Handling datetime features with the DatetimeEncoder (0030_datetime_encoder.py)	00:12.319	504.4
Deduplicating misspelled categories (0050_deduplication.py)	00:03.621	500.1