NumPy Arrays Explained: Your First NumPy Code | Lec 1.1

In this lecture we write our first real NumPy code. We set up NumPy in Jupyter, turn Python lists into arrays, build 1D and 2D arrays, use NumPy’s ready-made arrays (zeros, ones, full, arange, linspace, eye), and learn how to check an array’s shape, ndim, size, and dtype. We also cover the dtype gotcha that trips up a lot of beginners. Type the code along with me as you watch. That’s how it sticks. RESOURCES Code (Jupyter notebook): https://drive.google.com/file/d/1Pocq... Short notes: https://drive.google.com/file/d/1vCGs... Practice problems: https://drive.google.com/file/d/1_DCh... Do Section A of the practice problems before Lecture 1.2. The answer key comes out with Lecture 1.2. Previous: Lecture 1.0, Why NumPy?    • NumPy Explained: The Foundation of Data Sc...   Next: Lecture 1.2, Indexing and Slicing (coming soon) Prerequisite: Python basics (variables, loops, functions, lists) This is a brand new channel, so your suggestions mean a lot. Share them in the pinned comment. If this helped, please like, subscribe, and ring the bell so you don’t miss the next lecture. #NumPy #Python #DataScience #LearnPython #DataWalker