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Discover how to rapidly build data science applications using Streamlit in this 22-minute EuroPython 2021 conference talk by Steven Kolawole. Learn about the advantages of Streamlit over traditional frameworks like Flask, including its simplicity and hot-reloading feature. Follow along with a step-by-step demonstration of creating a basic Streamlit app, and explore the pros and cons of using this open-source web framework compared to other popular Python options for data scientists and machine learning engineers. Gain insights into streamlining your development process without the need for extensive front-end coding.
Syllabus
Intro
Overview
Problem Statement
Advantages
Installation
Demo
Other Apps
Cons
Taught by
EuroPython Conference