NumPy Explained - Full Course (3 Hrs)

Comprehensive course explaining Python NumPy. This course includes theory, examples, and practice problems. 0:00 - promo 0:24 - introduction 1:05 - 2.1 numpy array motivation 6:36 - 2.2 numpy array basics 12:48 - 2.3 creating numpy arrays 17:26 - 2.4 indexing 1d arrays 23:21 - 2.5 indexing multidimensional arrays 28:53 - 2.6 basic math on arrays 30:49 - 2.7 challenge: high school reunion 33:36 - 2.8 challenge: gold miner 36:31 - 2.9 challenge: chic-fil-a 41:12 - 3.1 broadcasting 46:11 - 3.2 newaxis 47:57 - 3.3 reshape() 52:33 - 3.4 boolean indexing 56:14 - 3.5 nan 57:31 - 3.6 infinity 59:04 - 3.7 random 1:10:12 - 3.8 challenge: love distance 1:13:10 - 3.9 challenge: professor prick 1:16:49 - 3.10 challenge: psycho parent 1:20:51 - 4.1 where() 1:24:11 - 4.2 math functions 1:26:35 - 4.3 all() and any() 1:27:40 - 4.4 concatenate() 1:29:00 - 4.5 stacking 1:32:59 - 4.6 sorting 1:37:17 - 4.7 unique() 1:38:50 - 4.8 challenge: movie ratings 1:41:45 - 4.9 challenge: big fish 1:44:46 - 4.10 challenge: taco truck 1:48:44 - 5.1 advanced array indexing 1:56:15 - 5.2 view vs copy 1:58:52 - 5.3 challenge: population verification 2:06:25 - 5.4 challenge: prime locations 2:10:27 - 5.5 challenge: the game of doors 2:16:22 - 5.6 challenge: peanut butter 2:22:41 - 6.1 as_strided() 2:26:24 - 6.2 einsum() 2:31:17 - 6.3 challenge: one-hot-encoding 2:35:08 - 6.4 challenge: cumulative rainfall 2:39:08 - 6.5 challenge: table tennis 2:47:34 - 6.6 challenge: wheres waldo 2:52:25 - 6.7 challenge: outer product --- Code ------------------------ https://www.practiceprobs.com/problemsets/python-numpy/ --- Vids & Playlists ---------------------------------- Google Colab - https://youtu.be/SUCRr56Jzkw NumPy - https://youtu.be/eClQWW_gbFk Pandas - https://youtu.be/8xUgesdShE8 Neural Networks - https://youtu.be/kPXmGbDhBGs --- Subscribe To Mailing List ---------------------------------- https://eepurl.com/hC1Pmj --- Support ------------------------ https://merchonate.com/gormanalysis