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How I build Streamlit Components (a small Javascript / React tutorial)

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Do you want to take your Streamlit apps to the next stage by integrating your own web components?
This is a tutorial for beginners and advanced developers alike. No HTML/CSS/JS prerequisites are required, though it will be much easier if you have a general idea of how to employ them. I suggest you watch the full tutorial once before actually attempting to implement it by yourself. After this tutorial, you should be able to embed almost any NPM package as a bidirectional Streamlit Component - especially if it takes JSON as input!
👉 Links
My tools (Affiliate links to support me!)
📑 Chapters
00:00 Integrate any NPM package into Streamlit?
00:26 Vanilla Javascript
06:18 Managing and Bundling Javascript libraries
12:03 Using the React Component Template
15:45 Build Components to help Data Scientists!
16:29 Outro
🪶 29th video, out of the 35 videos for 2022 goal. Longest video tutorial of the year (not counting the Epic Tutorial that I split in 2). I crunched 3 years of developing Streamlit Components in 17 minutes. Honestly the video is jam-packed with information, I hope you’ll have to rewatch it multiple times 😄 I need to do shorter videos now to catch up on the lost time..
👍 On this channel, we love building a lot of small yet smart Streamlit apps to improve our Python chops, and recall our stories around Data Science and Content Creation. Like & Subscribe if you would like to see more videos!
⚠️ Disclaimer: This video is not sponsored. Links included in this description might be affiliate links. If you purchase a product or service with the links that I provide I may receive a small commission. Thank you for supporting my channel so I can continue to provide you with free content!
#streamlit #python #datascience #dataapps
This is a tutorial for beginners and advanced developers alike. No HTML/CSS/JS prerequisites are required, though it will be much easier if you have a general idea of how to employ them. I suggest you watch the full tutorial once before actually attempting to implement it by yourself. After this tutorial, you should be able to embed almost any NPM package as a bidirectional Streamlit Component - especially if it takes JSON as input!
👉 Links
My tools (Affiliate links to support me!)
📑 Chapters
00:00 Integrate any NPM package into Streamlit?
00:26 Vanilla Javascript
06:18 Managing and Bundling Javascript libraries
12:03 Using the React Component Template
15:45 Build Components to help Data Scientists!
16:29 Outro
🪶 29th video, out of the 35 videos for 2022 goal. Longest video tutorial of the year (not counting the Epic Tutorial that I split in 2). I crunched 3 years of developing Streamlit Components in 17 minutes. Honestly the video is jam-packed with information, I hope you’ll have to rewatch it multiple times 😄 I need to do shorter videos now to catch up on the lost time..
👍 On this channel, we love building a lot of small yet smart Streamlit apps to improve our Python chops, and recall our stories around Data Science and Content Creation. Like & Subscribe if you would like to see more videos!
⚠️ Disclaimer: This video is not sponsored. Links included in this description might be affiliate links. If you purchase a product or service with the links that I provide I may receive a small commission. Thank you for supporting my channel so I can continue to provide you with free content!
#streamlit #python #datascience #dataapps
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