Python: 3 books in 1: Beginner’s guide, Data science and Machine learning. The easiest guide to start Python programming. Unlock your programmer potential and develop your project in just 30 days by Dimick William

Author:Dimick, William [Dimick, William]
Language: eng
Format: epub
Published: 2020-09-30T16:00:00+00:00

large_array = np. arrange (0,100,2). reshape (5,10)

large_array # show

Out []: array ([[ 0, 2, 4, 6, 8, 10, 12, 14, 16, 18],

[20, 22, 24, 26, 28, 30, 32, 34, 36, 38],

[40, 42, 44, 46, 48, 50, 52, 54, 56, 58],

[60, 62, 64, 66, 68, 70, 72, 74, 76, 78],

[80, 82, 84, 86, 88, 90, 92, 94, 96, 98]])

Tip: Try grabbing single elements and rows from random arrays you create. After getting very familiar with this, try selecting columns. The point is to try as many combinations as possible to get you familiar with the approach. If the slicing and indexing notations are confusing, try to revisit the section under list or string slicing and indexing.

Click this link to revisit the examples on slicing: List indexing

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