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FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96

5 snips
May 2, 2022
Guest
Sebastián Ramírez
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Episode notes
1
Introduction
00:00 • 5min
2
Fastebe
04:45 • 2min
3
Fastep Bet
06:17 • 4min
4
Pydantic - The Biggest Lesson Learned
10:09 • 2min
5
How Long Does It Take You to Learn to Build a Framework?
12:02 • 6min
6
Jangora's Framework Is a Great Example of a Good API Decomentation
18:01 • 3min
7
What Kind of Advice Would You Give to a Standard Deav?
20:52 • 5min
8
A Lot of Things That I Want to Improve in Fastepia.
25:44 • 5min
9
What I Want to Improve in Pastefia as a Developer
30:17 • 2min
10
Is There a Way to Improve the Type on Notations?
32:37 • 2min
11
The New Way to Define Type an Notations for Indimensional, a Race Or.
34:42 • 3min
12
Is Python the Language for Machine Learning?
37:20 • 5min
13
The Tweed, the Thing That Gave Me the Most Exposure on Titter, I Don't Know.
42:19 • 4min
14
How Do You Choose the Winners for You?
46:08 • 6min