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FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96
MLOps Coffee Sessions #96 with Sebastián Ramírez, FastAPI for Machine Learning co-hosted by Adam Sroka.
// Abstract
Fast API almost never happened. Sebastián Ramírez, the creator of FastAPI, tried as hard as possible not to build something new. After many failed attempts at finding what he was looking for he decided to scratch his own itch and build a new product.
The conversation goes over what Fast API is, how Sebastián built it, what the next big problems to tackle in ML are, and how to focus on adding value where you can.
// Bio
👋 Sebastián Ramírez is the creator of FastAPI, Typer, and other open-source tools.
Currently, Sebastián is a Staff Software Engineer at Forethought while also helping other companies as an external consultant.🤓
// MLOps Jobs board
https://mlops.pallet.xyz/jobs
// Related Links
Website: https://tiangolo.com/
https://fastapi.tiangolo.com/
https://typer.tiangolo.com/
https://www.forethought.ai/
https://sqlmodel.tiangolo.com/
https://github.com/tiangolo
--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Adam on LinkedIn: https://www.linkedin.com/in/aesroka/
Connect with Sebastián on LinkedIn: https://www.linkedin.com/in/tiangolo/
Timestamps:
[00:00] Introduction to Sebastián Ramírez
[00:44] Takeaways
[02:45] Apply () Conference is coming up!
[03:38] FastAPI background
[05:02] Ramp up reason
[06:17] Tipping point
[08:11] Surprising ways using FastAPI
[10:08] Twist it and break it lessons learned
[12:00] Length of comprehension process
[15:59] Missing pieces
[21:25] Advice to technically capable what to start with
[25:19] Making FastAPI better
[27:52] What to simplify and why are they cumbersome right now?
[30:14] Building FastAPI vs solving the problem
[32:42] Next itch to scratch
[34:26] Landscape's pathway
[38:03] Things that would not change
[40:13] Sebastián's change in life since FastAPI
[43:09] Sebastián's famous tweet
[44:13] Experienced vs inexperienced
[46:07] Approach to becoming a tools expert
[50:22] Wrap up
View all episodes
By Demetrios
4.9
2020 ratings
MLOps Coffee Sessions #96 with Sebastián Ramírez, FastAPI for Machine Learning co-hosted by Adam Sroka.
// Abstract
Fast API almost never happened. Sebastián Ramírez, the creator of FastAPI, tried as hard as possible not to build something new. After many failed attempts at finding what he was looking for he decided to scratch his own itch and build a new product.
The conversation goes over what Fast API is, how Sebastián built it, what the next big problems to tackle in ML are, and how to focus on adding value where you can.
// Bio
👋 Sebastián Ramírez is the creator of FastAPI, Typer, and other open-source tools.
Currently, Sebastián is a Staff Software Engineer at Forethought while also helping other companies as an external consultant.🤓
// MLOps Jobs board
https://mlops.pallet.xyz/jobs
// Related Links
Website: https://tiangolo.com/
https://fastapi.tiangolo.com/
https://typer.tiangolo.com/
https://www.forethought.ai/
https://sqlmodel.tiangolo.com/
https://github.com/tiangolo
--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Adam on LinkedIn: https://www.linkedin.com/in/aesroka/
Connect with Sebastián on LinkedIn: https://www.linkedin.com/in/tiangolo/
Timestamps:
[00:00] Introduction to Sebastián Ramírez
[00:44] Takeaways
[02:45] Apply () Conference is coming up!
[03:38] FastAPI background
[05:02] Ramp up reason
[06:17] Tipping point
[08:11] Surprising ways using FastAPI
[10:08] Twist it and break it lessons learned
[12:00] Length of comprehension process
[15:59] Missing pieces
[21:25] Advice to technically capable what to start with
[25:19] Making FastAPI better
[27:52] What to simplify and why are they cumbersome right now?
[30:14] Building FastAPI vs solving the problem
[32:42] Next itch to scratch
[34:26] Landscape's pathway
[38:03] Things that would not change
[40:13] Sebastián's change in life since FastAPI
[43:09] Sebastián's famous tweet
[44:13] Experienced vs inexperienced
[46:07] Approach to becoming a tools expert
[50:22] Wrap up
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