How to Build & Share Streamlit Apps WITHOUT Installing Python

𝗗𝗘𝗦𝗖𝗥𝗜𝗣𝗧𝗜𝗢𝗡
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In this video, I’ll show you how to create and share a Streamlit app without installing anything. With Pycafe, you can code your app directly in your browser—perfect if you can’t install Python at work or just want an easy way to share your app.
I’ll guide you through setting up a free account, building an app, and sharing it. You can even embed it on a website like WordPress or Notion. It’s simple, but since it runs in your browser, it might load a little slower.
The best part? Pycafe is free right now! Try it out and let me know how you’d use it in the comments.
#Streamlit #Pycafe #PythonWebDevelopment

🌍 𝗟𝗜𝗡𝗞𝗦:

⭐ 𝗧𝗜𝗠𝗘𝗦𝗧𝗔𝗠𝗣𝗦:
00:00 – Introduction
00:26 – PyCafe Interface
01:40 – Sharing a Project
02:32 – Sharing an App
03:02 – Embedding in WordPress
04:40 – Embedding in Notion
05:00 – Embedding Streamlit Community Cloud Apps
05:30 – PyCafe Limitations
06:08 – PyCafe Advantages
06:34 – Additional Considerations
07:32 – PyCafe Pricing
08:00 – Outro

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

*Let me know in the comments what you think about PyCafe and if you have a use case for it.* ⤵

[samratsudeepchoudhary]

Your videos related to streamlit are always dope!

[chemistesp.]

Great video! Could you make a video about making an executable desktop app from Streamlit? There is little about this out there, and you are always clearer and more straightforward.

[ricardo.alves.campos]

Thank you so much for showing us this and explaining how it works, it will be helpful to use it in my workplace.

[florianroeseler]

Extremely helpful to get around the restrictions at my workplace. Thank you so much!

[souravbarua]

Wow. Thank you for this lesson. I was looking for this kind of platform to create my streamlit app. I learned from new things from your videos.

[williansuarez]

Excelente información, como siempre, se ve interesante todo, gracias, saludos desde Venezuela

[MortenEghj]

One view with Streamlit which is of interest is how to handel SQL queries within Streamlit and also re-runs of the data. Often standard 5 lines of Python is used and it seems to slowdown over time for large datasets and also the re-sun part. ( Similar video for PyGWalker if of interest )