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FastAPI for Data Science

***It is no longer possible to register for this webinar but you can watch it on-demand here***

***Participants are strongly encouraged to download the needed data from this Github repo and set up the environment prior to the start of the webinar. Please mind that the GitHub repo is not yet available and will be made public as we approach the date.***

FastAPI has become a buzzword in the DevOps world. People are starting to use it and sooner or later it will become the new industry standard. If you want to learn how to build a data science API with this tool, this webinar is for you.

Our Data Scientist, Andrea Giussani, will briefly introduce what a FastAPI is, its pros and cons, and build a simple API with some toy data. At the end of this webinar, you will be able to independently build and run a Python-based API with FastAPI.

Requirement:
In order to be able to follow this webinar, an intermediate knowledge of Python is strongly recommended along with a basic exposure to APIs.

Agenda:
– Intro to FastAPI + pros and cons
– Use of the FastAPI class
– Specification of data types
– Running the API

Don’t miss this webinar on July 29th at 9 a.m. PT | 12 p.m. ET | 6 p.m. CET.
– All registrants will receive the recording of the webinar via email

FastAPI for Data Science

Andrea Giussani, Data Scientist at Cloud Academy

Andrea Giussani, Data Scientist at Cloud Academy

With a Ph.D. in Statistics, Andrea is a full-time Data Scientist at Cloud Academy. On top of his day to day job, he is also an Academic Fellow in Computer Science at Bocconi University in Milan. He is also a published author, check out his bestseller Applied Machine Learning with Python.

Andrea Giussani
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