Tools 1.4The video for this lesson is on its way.
Everything else is ready: study the parts, the key terms and the quiz below.
- Part 11Two shops on different scales, and why the raw numbers mislead
- Part 22Standardising with a Python loop, one column at a time
- Part 33An array and a scalar, applied to every element
- Part 44Two arrays of the same shape, and universal functions
- Part 55The broadcasting rule: shapes lined up from the right, equal or one
- Part 66Subtracting a row of column means, and standardising in one line
- Part 77Subtracting per day: the broadcast error, and adding an axis with None
- Part 88A broadcast that runs and answers the wrong question, and allclose
- Part 99Recap and your challenge
Tools 1.4Code walkthrough9 parts
Vectorised Operations and Broadcasting
Compute on whole arrays at once, and predict when shapes combine.
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In this lesson9 parts
- 01Two shops on different scales, and why the raw numbers mislead
- 02Standardising with a Python loop, one column at a time
- 03An array and a scalar, applied to every element
- 04Two arrays of the same shape, and universal functions
- 05The broadcasting rule: shapes lined up from the right, equal or one
- 06Subtracting a row of column means, and standardising in one line
- 07Subtracting per day: the broadcast error, and adding an axis with None
- 08A broadcast that runs and answers the wrong question, and allclose
- 09Recap and your challenge