12 Minutes to Learn NumPy (Python): Arrays, Reshape, Arange & Linspace

Описание: 👉 Join my Python Masterclass ~ https://www.zerotoknowing.com/join-now
***Save 20% off your First Month with code: save20now

12 Minutes to Learn NumPy (Python): Arrays, Reshape, Arange & Linspace — Learn the essentials FAST. NumPy array basics, reshape examples, arange vs linspace, random sampling and matrix tips — all in one compact Python crash course.

👉 Join our Discord Community ~   / discord  
👉 Join my Python Newsletter ~ https://www.thenerdnook.io
📚 Read my eBooks ~ https://www.zerotoknowing.com/ebooks

What is NumPy? NumPy (Numerical Python) is the foundational Python library for fast numeric arrays and vectorized math — the go-to toolkit for data science, ML, and scientific computing. Learn the core functions you’ll actually use on real projects.
NumPy

In this numpy tutorial you'll get:
• Hands-on NumPy array creation and indexing (np.array, np.arange, np.linspace).
• How and when to use np.reshape to change array shapes (with live examples).
• np.arange vs np.linspace — choose the right range function and avoid common pitfalls.
• Using np.random for sampling, seeds, and test data.
• Quick look at NumPy matrices, broadcasting, and common pitfalls new Python users face.

👉 Get my Masterclass ~ https://www.zerotoknowing.com/join-now

📘 Join our Facebook ~ https://tinyurl.com/msy8mnxm

Subscribe for content that helps you grow!

💥 PARTNER WITH ME - https://www.passionfroot.me/code-with...

MY FAVORITE BOOKS
🐍 Python Crash Course - https://amzn.to/3vGDXqH
🛺 Automate the boring stuff - https://amzn.to/428yoO0
💽 Data Structures and Algorithms in Python - https://amzn.to/3SkzYZL
📘 Python pocket reference - https://amzn.to/3SlK0tA

PS: Some of the links in this description are affiliate links that I get a kickback from 😜


🎬 Timestamps:
0:00 | Intro / What is NumPy? (NumPy Python Basics for Beginners)
0:25 | Why Use NumPy in Python (Speed vs Python Lists)
1:20 | Create Arrays in NumPy: np.array, np.arange, np.linspace Explained
3:53 | NumPy Reshape Examples: np.reshape 1D, 2D, and 3D Arrays
6:30 | Indexing and Slicing NumPy Arrays (Beginner Tutorial)
8:30 | NumPy Mathematical Operations with Arrays
9:30 | NumPy Statistical Operations: np.mean, np.std Examples
10:55 | Boolean Indexing with NumPy Arrays
12:25 | Simple NumPy Broadcasting Explained
13:52 | NumPy Random Module: np.random, np.seed, np.randint
15:00 | Array Concatenation in NumPy (Join Multiple Arrays)
16:16 | Next Steps & NumPy Resources

🔹🔹🔹🔹🔹🔹🔹🔹🔹

🎙 PyPod Chronicles - https://thenerdnook.substack.com/podcast

🗞 LinkedIn -   / josh-wenner  

👨‍💻 GitHub - https://github.com/Joshwen7947

🔹🔹🔹🔹🔹🔹🔹🔹🔹
Tag ~ zero to knowing, code with josh

#numpy #pythontutorial #numpyarrays #learnpython #datascience