Table of Contents
Part of the workshop dedicated to model deployment and code architecture basics.
Length: approx. 1.5 hours.
Prerequisites: basic knowledge of python (you should know how to write functions, be able to work with the primitives such as str
, list
, int
, dict
) and import packages.
In the end of the workshop: you should be able to write basic classes, enumerators, know how to run a FastAPI server in colab environment and Flask locally.
Most people that enter into data science and programming from completely unrelated fields often take long time to learn how to code in object-oriented fashion or how to bring their code into production. Usually projects end up being Google Slides presentations even if they could make a cool app.
This tutorial aims to introduce the basics of good coding practices (OOP) and get the students acquainted with server model deployment.
Open the ModelDeployment.ipynb
in colab
None
- Run the cells one by one
- Read the comments
- Do the exercises
- If possible: read through the linked resources 😄
- Write OOP-only code in the future
Distributed under the MIT License. See LICENSE.txt
for more information.
Stasja - @stasya00 - e-mail - LinkedIn
- Angelos Chronis and Serjoscha Düring - the professors leading the workshop and defining the scope
- IAAC - the university hosting the workshop
- My favorite README template