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The article discusses the concept of half-open ranges in Python slicing, emphasizing their utility in avoiding off-by-one errors. It explains how slicing works, including the allocation of new containers and the impact of stride values. The piece concludes with practical advice on when to use slicing and the hidden costs associated with it.
- ▪Half-open ranges in Python slicing help eliminate off-by-one errors.
- ▪Slicing creates a new container and copies references or values for the selected range.
- ▪Using descriptive names for slices can enhance code readability.
Opening excerpt (first ~120 words) tap to expand
1.1Readable slicing in production codeA slice with half-open bounds is the difference between `a[:n]` + `a[n:]` composing perfectly and staring at off-by-one errors at 2 AM.WHAT IT ISThink of slices like train cars: each car has a number, but you board at the front edge of car N and get off at the front edge of car M. The car at the stop edge stays outside the ride. That is half-open: start included, stop excluded.The beauty is composition. If you split a list at index n, `a[:n]` and `a[n:]` cover every element exactly once. No overlap, no gap.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Vercel.
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