#372: Applied mathematics with Python

1

Introduction

00:00 • 4min

2

How Did You Get Your Ph.D. In Mathematical Science?

04:16 • 3min

3

Applying Mathematics to a Real Situation

07:14 • 3min

4

What's the Next Step?

10:03 • 3min

5

Teaching a Soft Topic Through Commercial Softe?

13:33 • 3min

6

Compiler Podcast From Red Hat

16:52 • 4min

7

Is It Unethical to Not Keep Up With the Latest Marks?

20:38 • 2min

8

Is There a Library for That?

22:56 • 5min

9

Distinct Event Simulation - Theoretical Ideas

27:52 • 2min

10

The Best Chapter in the Book

29:33 • 3min

11

Python at Scale Summit

32:40 • 2min

12

How to Pick Ther Deafin Better

34:59 • 2min

13

Thenalge Library Can Just Solve It for You

37:09 • 2min

14

Using the Numpi Nu Num Dot Lin Ag Magic

38:54 • 2min

15

What Is Mathematical?

40:28 • 4min

16

Using Random Numbers to Build a Virtual Representation of the System

44:19 • 2min

17

The Difference Between Mark of Chain and Simulator of Chain

46:21 • 2min

18

The Useos Assimilation Is Essentially Streams Around the Numbers

48:35 • 2min

19

Is There a Data Scientist in Bike Shops?

50:11 • 5min

20

Then I'm Going to Go Off on a Differential Equation.

55:21 • 5min

21

The Story of a Number

01:00:28 • 4min

22

The Game of Taxes and Agent Bates Modelling

01:04:46 • 2min

23

Is This a Zero Some Game?

01:07:01 • 4min

24

Thera, Pipe and Ternery Is a Library for Plodding on Triangles

01:10:38 • 2min

25

Talk Python Podcast - Part 2

01:12:25 • 3min