Getting Started With Streamlit in Python
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- Опубліковано 10 тра 2022
- Streamlit is a powerful and easy to use Python library for developing web based applications. It does not require detailed knowledge of web frameworks, or web design, and. isgreat for deploying machine learning models to your customers, colleagues and the world.
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#datascience #petrophysics #python #streamlit #eda - Наука та технологія
This is great video, Andy, thank you! It goes through all major steps to start a working project.
Fantastic video, I love the style which is simple and clear. Thank you for sharing.
Great video, Andy.. Explained so lucidly
Great tutorial. I think I love Streamlit!
Thank you Andy!! It was real helpful to get started :)
You're very welcome!
Thank you very much! Extremely useful video!
Great stuff. Thanks!
Thank you very much Andy - its like you drove a locomotive full of information right into my cerebral cortex :) Learnt so much today - thanks again :)
Glad you enjoyed it
you're a legend, thank you so much
this is really helpful ! thanks
Thanks Andy. That was very good as usual. I like how you focus on a subject and present it so well that we can understand each segment. Thank you.
Thanks very much Craig. 👍
Excellent, Appreciate it
Great 👍 thank you andy
Thanks a lot. Good content
Nice intro. Thank you
Thanks a loooooot☺
Great
Hey thanks for the video, what is the extension that you are using that is displaying the relevant documentation as you code? Thanks :)
It’s part of the Python extension within VSCode.
Hi Andy this tutorial great but can you show how to use in Jupyter Notebook please?
How to solve this error
streamlitapiexception: set_page_config() can only be called once per app page, and must be called as the first streamlit command in your script.
Do you know why I get a 403 error when I try to upload the csv?
What type of Terminal??? can you tell me briefly how can I run streamlit? Thanks
If you are using VSCode you can use the terminal within the app.
Alternatively you can use the command prompt on windows or the terminal on macOS.
Navigate to the folder where your app is and enter: streamlit run app.py
Where app.py is the name you have given to the file you want to run.
Hope that helps