chiphuyen/python-is-cool

Covers functional programming patterns (lambda, map, filter, reduce) alongside list manipulation techniques including unpacking, advanced slicing, and insertion operations. Uses generators with lazy evaluation for memory-efficient processing of large sequences, demonstrated through n-gram generation that reduces space complexity from O(nm) to O(m+n). Provides interactive Jupyter notebooks executable via Binder, targeting Python 3.6+ for developers learning advanced syntax applicable to data preprocessing and transformation tasks.

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