Mastering NumPy Arrays: Shape, Size, Dimensions & More!
Welcome to video 4 in this beginner-friendly NumPy series! 🧮
In this episode, we're diving deep into the attributes of NumPy arrays — tools that help you explore and understand the structure of your data with ease.
🔍 What you'll learn in this video:
ndim → Check number of dimensions
shape → Get the size in each axis
size → Total number of elements
dtype → Data type of elements
itemsize → Memory used per item
nbytes → Total memory used by the array
💡 These built-in attributes make data inspection and debugging much easier — especially when working with large datasets or ML pipelines.
📌 Notebook & Code Examples:
👉 https://github.com/NikitasGithub/nump...
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