SciPy is a collection of mathematical algorithms and convenience functions built on the NumPy extension of Python.

All you need to know to play with your special functions in SciPy.

Table of Contents:

00:00​ Intro
00:21​ What is SciPy ?
02:06​ SciPy subpackages
05:15​ Installing SciPy
08:34​ Concatenate of NumPy
09:03​ Concatenating by rows
09:51​ Concatenating by columns
10:34​ Slicing Matrices
11:01​ Mesh Grids
12:17​ Polynomials
13:02​ Polynomial Multiplication
13:32​ Integrating Polynomials
14:17​ Polynomial Derivatives
15:02​ Polynomial as Array
15:31​ Vectorizing Functions
18:52​ Special SciPy Functions
19:15​ Airy Functions
22:35​ Exponentially Scaled Airy Functions
24:43​ Bessel Functions
25:44​ Thin Drumhead Example
31:51​ Logit Function
33:18​ Gamma Function
35:56​ Error Functions
37:04​ Entropy Function
38:01​ Huber Function

Instructor: Dr. Ahmad Bazzi

SciPy: https://www.scipy.org/​

Subscribe: https://www.youtube.com/channel/UCgC1d4JZ1Fz4t8MWLJD464w

#scipy #python