Streamlit - The Fastest Way to Build Data Apps
Offered By: EuroPython Conference via YouTube
Course Description
Overview
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
Related Courses
Data AnalysisJohns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera