NumPy: Fast Numerical Computing

Indexing, Slicing & Vectorization

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Basic Indexing and Slicing — and the View vs Copy Distinction

Opening your lesson…

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IN THIS LESSON

YOU’RE LEARNING TO

↗index and slice 1-D and 2-D arrays using integers and ranges

↗distinguish between a view (slice) and a copy (fancy index / boolean mask)

↗build and apply boolean masks to filter arrays

↗use fancy indexing with integer arrays to reorder or select rows

↗write vectorized element-wise expressions without explicit Python loops

↗apply universal functions (ufuncs) and explain why they beat equivalent loops