Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science.
This is the 10th time I use Streamlit to create simple yet powerful web apps, but in this special tutorial, you will see how in just a few minutes you can build a cryptocurrency dashboard to present the various crypto values [in this case I retrieved data for the dataframe and charts for : Bitcoin, Ethereum, Ripple & Bitcoin-Cash ] in any period of time that you determine in the code.
Streamlit turns data scripts into shareable web apps in minutes; and the best part is that it's all in Python, and it's open source which means all for free. No front‑end experience required. So to create animation sliders, rendering charts/graphs, animating download bars and much more is done without any HTML/CSS/JS , just Python.
To try it out, go ahead to your terminal and type:
$ pip install streamlit
then fire the server for demo apps:
$ streamlit hello
If you want to know who to create and customize this cryptocurrency dashboard application, check out the latest video tutorial on the channel :
Hope you enjoy it, and I will see in next video posts :)
✨ Streamlit Website: https://streamlit.io
🔗 Social Media
Facebook : https://www.facebook.com/bekbrace
Twitter : https://twitter.com/BekBrace
Instagram : https://www.instagram.com/bek_brace/
GitHub profile : https://github.com/BekBrace
Website : https://bekbrace.netlify.app