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Python deployment with Docker and Poetry
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sfpy
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pybay23
--room bungalo_west 15333 --force
Next: 10 Let's talk about JWT
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Marks
Author(s):
Cristian Heredia
Location
Bungalo West
Date
oct Sun 08
Days Raw Files
Start
14:15
First Raw Start
13:55
Duration
00:15:00
Offset
0:19:11
End
14:30
Last Raw End
14:55
Chapters
00:00
0:09:15
Total cuts_time
12 min.
https://pybay.com/speakers/#sz-speaker-a8a33ab3-caac-43aa-a10a-6d23428c73c9
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Docker and Poetry are tools often used to deploy Python code. Docker containerizes code, making it easy to deploy in the cloud. Poetry manages dependencies. However, did you ever consider how the two could work in concert to build slim, repeatable production containers for your code? This talk aims to give developers the basics of setting up a Poetry project inside a Python Docker environment. The goal is to generate a secure container with only source code present—no docs, tests, or secrets. What this talk isn't: A deep dive into Docker, Poetry, or virtual environments. slides/code: https://github.com/caheredia/pybay2023
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production notes
2023-10-08/13_55_49.ts
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