Arik Chakma
274082fd77
* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
9 lines
705 B
Markdown
9 lines
705 B
Markdown
# Arrays & ndarray
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The `ndarray` is NumPy's core data structure: a multi-dimensional, homogeneously typed array stored in contiguous memory. It supports element-wise operations, broadcasting, and vectorized computation far faster than Python lists. Understanding ndarray is fundamental to working efficiently with numerical data in Python.
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Visit the following resources to learn more:
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- [@official@NumPy: the absolute basics for beginners](https://numpy.org/doc/stable/user/absolute_beginners.html)
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- [@official@numpy.array](https://numpy.org/doc/stable/reference/generated/numpy.array.html)
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- [@video@Ultimate Guide to NumPy Arrays](https://www.youtube.com/watch?v=lLRBYKwP8GQ&pp=ygUMbnVtcHkgYXJyYXlz) |