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About Python NumPy Tutorial for Beginners
Explore Python NumPy Tutorial for Beginners with 2,216,332 views, 51,034 likes, and 765 comments. Experience the impact of this video content that has captured audience attention.
Learn the basics of the NumPy library in this tutorial for beginners. It provides background information on how NumPy works and how it compares to Python's Built-in lists. This video goes through how to write code with NumPy. It starts with the basics of creating arrays and then gets into more advanced stuff. The video covers creating arrays, indexing, math, statistics, reshaping, and more. 💻 Code: https://github.com/KeithGalli/NumPy 🎥 Tutorial from Keith Galli. Check out his YouTube channel: https://www.youtube.com/channel/UCq6XkhO5SZ66N04IcPbqNcw ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba) ⭐️ Course Contents ⭐️ ⌨️ (01:15) What is NumPy ⌨️ (01:35) NumPy vs Lists (speed, functionality) ⌨️ (09:17) Applications of NumPy ⌨️ (11:08) The Basics (creating arrays, shape, size, data type) ⌨️ (16:08) Accessing/Changing Specific Elements, Rows, Columns, etc (slicing) ⌨️ (23:14) Initializing Different Arrays (1s, 0s, full, random, etc...) ⌨️ (31:34) Problem #1 (How do you initialize this array?) ⌨️ (33:42) Be careful when copying variables! ⌨️ (35:45) Basic Mathematics (arithmetic, trigonometry, etc.) ⌨️ (38:20) Linear Algebra ⌨️ (42:19) Statistics ⌨️ (43:57) Reorganizing Arrays (reshape, vstack, hstack) ⌨️ (47:29) Load data in from a file ⌨️ (50:20) Advanced Indexing and Boolean Masking ⌨️ (55:59) Problem #2 (How do you index these values?) ⭐️ Links with more info ⭐️ 🔗 NumPy vs Lists: https://www.youtube.com/channel/UC_mmB9WkzXQAQmwj6EPmXQw 🔗 Indexing: https://docs.scipy.org/doc/numpy-1.13.0/user/basics.indexing.html 🔗 Array Creation Routines: https://docs.scipy.org/doc/numpy/reference/routines.array-creation.html 🔗 Math Routines Docs: https://docs.scipy.org/doc/numpy/reference/routines.math.html 🔗 Linear Algebra Docs: https://docs.scipy.org/doc/numpy/reference/routines.linalg.html -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://www.freecodecamp.org/news
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