NumPy (2.2.6) A-Z | 01B

🚀 Course: NumPy (2.2.6) A-Z
🔁 Module 01: NumPy Basics
🧠 Lecture B: Array Fundamentals

👇 Link to the notebook:
https://tinyurl.com/27wpgn8k

🚀 NumPy array fundamentals tutorial for beginners: learn how to create NumPy ndarrays from Python lists, constant value arrays, and range or evenly spaced arrays, then inspect shape, dimensions, dtype, itemsize, and strides to understand memory layout and performance. This lecture walks through practical NumPy examples using arange, linspace, reshaping, and slicing, shows how numeric dtypes, automatic type promotion, and safe vs unsafe casting affect precision and memory, and explains contiguous vs strided views. Watch to build a solid foundation in NumPy 2.2.6 array creation, array attributes, and data type choices before moving on to more advanced array operations.

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