KwickClips Python · 39 sec · free
Why is NumPy fast?
Short answer. An array keeps values side by side, so maths works on all values at once.
What does np.array([60, 72, 45]) + 5 give?
[65 77 50].
Remember
| NumPy: fast number library |
| Maths on all values at once |
Add five marks for every student, without a loop? NumPy is a fast number library. An array keeps values side by side. Plus five changes every mark at once. NumPy is fast for numbers. Maths works on all values at once.
This clip is from the full lesson: Introduction to NumPy Arrays — 6 minutes, with the tables, the quick answers and the whole lesson in text.
Useful for: CBSE Class 10 Artificial Intelligence (417), CBSE Class 11 Informatics Practices (065), CBSE Class 11 Artificial Intelligence (843), CBSE Class 12 Artificial Intelligence (843)
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![Python code converting a marks list to a NumPy array; output shows [88 75 92] without commas.](/images/learn/clips/PY29-R2.webp)
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