Talk Python To Me

#423: Solving 10 different simulation problems with Python

Jul 24, 2023
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Episode notes
1
Introduction
00:00 • 2min
2
How to Use Python to Model Your Domain
01:56 • 2min
3
How to Create a Curriculum That Works for You
04:04 • 2min
4
Elm: A Programming Language for Web Applications
06:21 • 2min
5
Python: A Front-End Language
08:30 • 2min
6
Pyscript and MicroPython
10:09 • 2min
7
How Influx DB Impacts the Way Developers Build Real Time Applications
12:18 • 2min
8
Modeling and Simulation in Python
14:17 • 4min
9
Python and the Problem of Population Growth
18:03 • 3min
10
The Demographic Transition: How Population Levels Off
20:40 • 2min
11
The Importance of Data Science in Teaching
22:41 • 3min
12
The Importance of Visualizing Simulations
25:34 • 2min
13
The PyBites Developer Mindset Program
27:17 • 2min
14
The Kermac-McKendrick Model of the Freshman Plague
29:18 • 2min
15
The Importance of Modeling Discontinuous Systems
31:41 • 3min
16
The Importance of Modeling in Science
34:45 • 3min
17
How to Simulate a Hypothetical Course of COVID
37:48 • 2min
18
The Coffee Cooling Problem
39:26 • 2min
19
How to Solve Differential Equations in Python
41:53 • 3min
20
The Difference Between Mechanical Energy and Heat Energy
44:48 • 2min
21
The Limits to Growth
46:21 • 3min
22
The Minimal Model of Blood Sugar and Insulin
49:05 • 3min
23
How to Solve Systems Equations in Simpy
51:37 • 2min
24
The Importance of Symbolic Computation
53:32 • 2min
25
The Limits of Vector Addition in Scientific Computing
55:25 • 2min
26
The Insanity of a Bungee Dunk
57:33 • 2min
27
How to Model a Bungee Jump
59:17 • 3min
28
How to Write Python Code
01:02:25 • 2min
29
How to Level Up Your Python Career
01:04:05 • 2min