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In this mini course, you'll learn about Streamlit, a fantastic Python UI library that allows you to make interfaces very quickly. I'll be showing you how to build an entire website in just a few minutes, and cover all of the graphical components like forms, models, charts, and buttons. Not only that, I'll also explain the more advanced features of Streamlit such as the architecture and how things are rendered so you can build more complex applications. This mini course will show everything you need to know and how easy it is to build websites and interfaces in purely Python.
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🎞 Video Resources 🎞
Multiple Pages Docs: https://docs.streamlit.io/develop/concepts/multipage-apps/pages-directory

⏳ Timestamps ⏳
00:00:00 | Overview
00:03:26 | Installation/Setup
00:04:40 | st.write() and Magic
00:10:25 | Streamlit Data Flow
00:14:35 | Text Elements
00:17:33 | Images
00:19:27 | Data Elements
00:23:00 | Chart Elements
00:25:13 | Form Elements
00:27:35 | Simple Form Example
00:39:16 | Advanced Form Example
00:42:00 | Session State
00:48:40 | Callbacks
01:00:22 | Layouts
01:05:06 | Advanced Widget Concepts
01:15:30 | Caching
01:22:37 | st.rerun()
01:24:55 | Fragments
01:28:22 | Multi-Pages App
01:32:27 | More Advanced Pages

Hashtags
#streamlit #course #python

TechWithTim, founded by Tim Ruscica, is a popular YouTube channel and blog offering tutorials, guides, and projects on programming, game development, and machine learning. With a friendly and approachable teaching style, Tim covers a wide range of topics, including Python programming, game development with Pygame, and machine learning algorithms with TensorFlow and Keras. Developers of all skill levels can benefit from TechWithTim's engaging content and hands-on coding projects, making it an in resource for learning and honing technical skills.

Tech With Tim

This post introduces Streamlit, a powerful Python UI library for quickly building web interfaces using only Python code. It covers the basic and advanced features of Streamlit, including support for data visualization tools like pandas, matplotlib, and numpy. The post also offers a hands-on tutorial for setting up a Streamlit project, installing necessary dependencies, and building simple applications. Additionally, it highlights a free resource guide on landing a developer role in the AI field, sponsored by HubSpot.

Streamlit Mini Course - Make Websites With ONLY Python

I’ve uses Streamlit for over a year and this is a great tutorial. I picked up a few things I’d missed.

I got scared when I heard about refreshing the whole code when you click the submit button :bad :bad :bad

Really this is something crazy!!!