Talk Python To Me

#393: Space Science with Python

Dec 8, 2022
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Episode notes
1
Introduction
00:00 • 2min
2
Python Space Science and Astronomy Live Stream
02:17 • 3min
3
Is This Mission a Generation Project?
05:47 • 2min
4
How Much Data Does a Cassini Mission Generate?
08:09 • 2min
5
Deep Space Network
09:51 • 2min
6
Is There a New Social Network for Data Science?
12:02 • 4min
7
Compiler Podcast
16:23 • 2min
8
Spicy Pie Is a Toolkit for Python on a NASA Toolkit
18:50 • 2min
9
How to Compute Trajectories With Spicy Pie
21:04 • 2min
10
Machine Learning and Machine Learning in Astronomy
23:01 • 2min
11
Astro Ml
25:19 • 3min
12
Python Python - What's the Best Visualization Library for Python?
28:28 • 1min
13
What Is a Close Flyby?
29:56 • 2min
14
AWS Insiders Podcast Part 2
32:02 • 4min
15
Is There a Primer to Understanding Trajectories of New Earth Objects?
35:54 • 2min
16
Orbital Elements and the Excentricity and the Perry
37:38 • 3min
17
How to Compute the Change of Orbits of Asteroids Without a Heavy Simulation
40:22 • 2min
18
How to Visualize a Comet in 3d
42:10 • 3min
19
Using Python Part 22 Comet and 3d in Visual Studio Code
44:46 • 3min
20
Using Python in Space to Detect Dust Particles
47:24 • 2min
21
The Rosetta Lunge - What Science Did You Get Out of It?
49:15 • 2min
22
Using High QT Framework in a Science Community Is Like It's Amazing Right?
51:33 • 3min
23
ML 112 Auto Encoder Latent Space Visualization
54:06 • 2min
24
How to Use Machine Learning to Classify and Cluster Spectra
56:35 • 2min
25
Vs Code Is a Perfect Time Now to Say Goodbye to Atom
58:22 • 2min
26
AWS Insiders Podcast
01:00:28 • 3min