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/numpy-code.git

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#NumPy #Python #ArrayAttributes #DataScience #PythonBeginners #numpytutorials

Видео Mastering NumPy Arrays: Shape, Size, Dimensions & More! канала OptnGrow