Overview
Syllabus
What is NumPy.
NumPy vs Lists (speed, functionality).
Applications of NumPy.
The Basics (creating arrays, shape, size, data type).
Accessing/Changing Specific Elements, Rows, Columns, etc (slicing).
Initializing Different Arrays (1s, 0s, full, random, etc...).
Problem #1 (How do you initialize this array?).
Be careful when copying variables!.
Basic Mathematics (arithmetic, trigonometry, etc.).
Linear Algebra.
Statistics.
Reorganizing Arrays (reshape, vstack, hstack).
Load data in from a file.
Advanced Indexing and Boolean Masking.
Problem #2 (How do you index these values?).
Taught by
freeCodeCamp.org