Streamlit (Web Application in Python) - How to quickly prototype your Streamlit web app

In this video, you'll learn how to quickly prototype your Streamlit app using streamlit-faker, which allows the generation of synthetic (fake) data. Particularly, it's something similar to using Lorem ipsum to space fill text in a word document. Additionally, you can also quickly generate image or also map data as well. 🐙 streamlit-faker https://github.com/arnaudmiribel/streamlit-faker 🐙 Forked repo https://github.com/dataprofessor/streamlit-faker Getting started is simple. 1. Install using: pip install streamlit-faker 2. Import the library function and call any Streamlit command in combination with the get_streamlit_faker() command. Support my work: 👪 Join as Channel Member: https://www.youtube.com/channel/UCV8e2g4IWQqK71bbzGDEI4Q/join ✉️ Newsletter http://newsletter.dataprofessor.org 📖 Join Medium to Read my Blogs https://data-professor.medium.com/membership ☕ Buy me a coffee https://www.buymeacoffee.com/dataprofessor Recommended Resources 📚 Books https://kit.co/dataprofessor 😎 Taro (Tech Career Mentorship) https://www.jointaro.com/r/dataprofessor/ 📜 Google Data Analytics Professional Certificate https://click.linksynergy.com/deeplink?id=PNeWWakF7rI&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Fprofessional-certificates%2Fgoogle-data-analytics 🤔 Interview Query https://www.interviewquery.com/?ref=dataprofessor 🖥️ Stock photos, graphics and videos used on this channel https://1.envato.market/c/2346717/628379/4662 Subscribe: 🌟 Coding Professor https://www.youtube.com/channel/UCJzlfIoF8nmWqJIv_iWQVRw?sub_confirmation=1 🌟 Data Professor https://www.youtube.com/dataprofessor?sub_confirmation=1 Disclaimer: Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents. #datascience #machinelearning #dataprofessor