The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography

Python Maps

Mar 18, 2022
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Episode notes
1
Introduction
00:00 • 3min
2
Go Spacial Data - How Did You Go From a Phd. In Chemistry to a Data Scientist?
03:09 • 3min
3
The Biggest Hiccup in Your Geospatial Career?
06:06 • 2min
4
Python - A Very Useful Language
08:05 • 2min
5
Python - A Tool That You Need to Know
09:36 • 2min
6
Sgelat - Learning on the Job
11:59 • 2min
7
Python Maps
13:39 • 2min
8
Python - What Python Libraries Do You Use to Make These Visualizations?
15:10 • 2min
9
Is There a Data Set With Eight Billion Points?
17:25 • 3min
10
Python Maps - What Do You Get Out of It?
20:22 • 2min
11
Python Maps
22:04 • 2min
12
Is It Ok to Have a Buffer Between You and the Work That You're Doing?
23:47 • 2min
13
Are There Any Other Benefits That Have Come Out of This?
25:37 • 3min
14
Data Science - Communication Is Critical
28:36 • 2min
15
Sell Your Visual Skills to a Potential Employer?
30:26 • 2min
16
Python
32:32 • 2min
17
Are You a Data Scientist?
34:29 • 2min
18
Python Maps - What's the Best Place to Reach Out?
36:30 • 2min