Go Time: Golang, Software Engineering

Go and Data Science

Jun 16, 2016
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Episode notes
1
Introduction
00:00 • 2min
2
Is It Rendering Binaries?
01:51 • 2min
3
Go Time FM - What's Up With That?
03:28 • 2min
4
Peter and Dave Cheney Are the Best to Follow
05:11 • 2min
5
Go Tools for Managing Kafka Clusters
07:01 • 2min
6
What Are the Capabilities of Chat Bots?
09:01 • 3min
7
Is It Just Someone Deploying Something?
12:03 • 2min
8
Micro Is Big. And It's Big
13:47 • 2min
9
Unicorns - I'm Sorry, I've Got Micro on My Mind.
15:26 • 2min
10
Data Science - What Is It?
17:18 • 2min
11
What Are Data Scientists?
19:00 • 3min
12
What's the Real Driver Behind the Advancements in Data Science?
21:51 • 4min
13
Using Data Science to Reduce False Positives in Monitoring Systems
25:47 • 2min
14
Should I Learn R or Python?
27:29 • 4min
15
Data Science - What's the Biggest Data Workflow in Python?
31:32 • 3min
16
Is There Any Specific Go Packages You're Currently Using?
34:14 • 3min
17
Go
36:57 • 2min
18
Doing Data Science in Python?
38:41 • 4min
19
Go and Data Science at the Upcoming Go for Con?
42:26 • 2min
20
Go for Data Science
44:12 • 2min
21
What Is Jupiter?
45:52 • 2min
22
Free Software Friday - What Do You Want to Thank?
47:33 • 2min
23
Jupyter Notebook and the GoKarno
49:30 • 2min
24
Vemgo
51:35 • 2min
25
NVIM, Neovim, and VEMGO
53:33 • 2min
26
GopherCon on Your Time
55:09 • 2min