Good fun, I'm going to hope that using ipython still qualifies, and it made things much easier by letting you define functions that join some ad-hoc datasets to

Good fun, I'm going to hope that using ipython still qualifies, and it made things much easier by letting you define functions that join some ad-hoc datasets to look for matches, or read particular files. A similar approach to different puzzles by Peter Norvig[1] Other useful (and perhaps less common) utilities I used were 'q'[2], and the standard unix 'comm(1)'[3] [1] http://nbviewer.jupyter.org/url/norvig.com/ipython/Fred%20Buns.ipynb http://nbviewer.jupyter.org/url/norvig.com/ipython/Fred%20Bu... http://norvig.com/sudoku.html http://norvig.com/sudoku.html [2] https://harelba.github.io/q/ https://harelba.github.io/q/ - sqlite text munging ended up being a bit too clunky though, and I couldn't remember/fix the join syntax to make it worthwhile in teh end. [3] $ comm -12 <(sort memberships/AAA) <(sort memberships/Delta_SkyMiles) > aaa_delta_comm # intersect names in 2 files. Sadly can't handle more than 2 inputs directly though, and assumes pre-sorting.