Computation times

10:01.031 total execution time for 11 files from auto_examples:

Example	Time	Mem (MB)
Various string encoders: a sentiment analysis example (0020_text_with_string_encoders.py)	03:35.401	1384.7
AggJoiner on a credit fraud dataset (0070_join_aggregation.py)	02:47.012	729.2
Encoding: from a dataframe to a numerical matrix for machine learning (0010_encodings.py)	00:55.308	517.0
SquashingScaler: Robust numerical preprocessing for neural networks (0100_squashing_scaler.py)	00:32.401	519.2
Spatial join for flight data: Joining across multiple columns (0060_multiple_key_join.py)	00:30.899	2410.2
Fuzzy joining dirty tables with the Joiner (0040_fuzzy_joining.py)	00:28.937	517.5
Interpolation join: infer missing rows when joining two tables (0080_interpolation_join.py)	00:25.130	1971.8
Getting Started (0000_getting_started.py)	00:15.563	518.9
Hands-On with Column Selection and Transformers (0090_apply_to_cols.py)	00:15.520	516.7
Handling datetime features with the DatetimeEncoder (0030_datetime_encoder.py)	00:11.271	520.6
Deduplicating misspelled categories (0050_deduplication.py)	00:03.590	517.0