Build A Streamlit Web App From Scratch (incl. NoSQL Database + interactive Sankey chart) 🚀

𝗗𝗘𝗦𝗖𝗥𝗜𝗣𝗧𝗜𝗢𝗡
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In this video, I will be showing you how to build a Python web application from scratch using Streamlit. I will also show you how to connect your streamlit app to a database. In particular, we will be using a free NoSQL database from deta. I will cover the entire process from start to finish and show you how easy it is to build your own web application. We will also learn how to create an interactive Sankey chart using Plotly. Additionally, I will show some very nifty streamlit tricks. After this video, you will be confident to develop your own web apps.

🌍 𝗟𝗜𝗡𝗞𝗦:

⭐ 𝗧𝗜𝗠𝗘𝗦𝗧𝗔𝗠𝗣𝗦:
00:00 – Intro
01:23 – Dependency installation and basic settings
03:58 – Coding out the entry area
09:51 – Coding out the plotting area
16:24 – Add a navigation menu
18:32 – Styling of the app
20:12 – Set up a NoSQL database
26:35 – Connect streamlit to a NoSQL database
29:03 – How to handle environment variables on a server
29:38 – Outro

𝗧𝗢𝗢𝗟𝗦 𝗔𝗡𝗗 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦
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𝗖𝗢𝗡𝗡𝗘𝗖𝗧 𝗪𝗜𝗧𝗛 𝗠𝗘
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☕ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲?
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[CodingIsFun]

💬I will be here in the comments section. For any issues, please provide your exact error message, and I will try to help.

Hey, just wanted to drop a quick note to say thank you for making that YouTube video! It was seriously so helpful and I loved how you presented the material. Great job!

[ievevy]

This is exactly what I am looking for. Your codes are neat and your presentation is easy to follow. Thanks a million!

[akebu]

Your Streamlit videos are so helpful, thank you so much, you've become my favourite YouTuber!

[catoberge]

This is brilliant! I finally start to understand some core Python/programming-concepts and this is a great tool for learning more. I especially liked the database-bit, which I didn`t believe I would.

Well done! I recommend your channel whenever I can.

[jackroark]

Awesome tutorial. The pacing is excellent. The editing is top-notch.

[maurocruz]

Great explanation. This video is about 10 advanced Streamlit videos in one!
I did't get completely that plot but I will give it a chance later.

[ricardo.alves.campos]

Excellent content !!! This channel deserves over 1 million subscribers. Mach weiter so!

[irinagetman]

Excellent tutorial. I like your code organisation with all these sections and comments, will borrow this from you.
BTW never heard of Sankey charts. Thank you for sharing this with us. ❤️

[GraphicalBoss]

Love your tutorial videos, short but valuable. Love from the 🇺🇸

[z.r.]

So much to unpack. Only the Sankey could be its own tutorial... Thank you

[fierval]

You are awesome! I thought I knew all about streamlit, you proved me wrong. 😊

[pythoninoffice]

Thanks for sharing another great vid!
Btw Deta looks cool!

[stevenl]

Thanks for the tutorial, i learn a lot from only a single video :)

[Christopher_Tron]

This is very helpful for me thank you!!!

[yeahjustlikethat]

Great video, it would be interesting to see if any of the st caching magic decorators apply to connecting to the db? Or is that reopened each time the app reloads?

[violoriser]

Excellent video as always!
Fast, clean and nice explanation of every aspect! I learned Streamlit from you, thx for finding the time to make these excellent videos.
I have a request. Could you show us how to edit an entry in the database? Not from the db panel, but from inside the streamlit app.

[learnsharegrowwithgh]

Excellent explanation and very very helpful

[biscotty]

Thank you for an excellent video. I look forward to watching more of your videos! (deta is very different and the website is a bit of a nightmare to navigate (imho) so I chose a different path there.)

[GordonShamway]

didaktisch unglaublich gut! Weiter so!