Do It Yourself – Website Tutorials
In this video, we will be building a Stock price web app in Python using the Streamlit library in Python. Firstly, we will be developing a simple webscraper of the S&P500 data. Secondly, the resulting list of ticker symbols will be used to subsequently fetch the stocks price data from the yfinance library in Python. Finally, we will be combining both functions in the creation of the web app.
Code and Data:
✅ https://github.com/dataprofessor/code/tree/master/streamlit/part10
If you would like to deploy your Streamlit web app to the internet using Heroku, then watch this video:
✅ https://www.youtube.com/watch?v=zK4Ch6e1zq8
Streamlit tutorial playlist
✅ http://bit.ly/dataprofessor-streamlit
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✅ http://bit.ly/dataprofessor-bioinformatics
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✅ Hands-On Machine Learning with Scikit-Learn : https://amzn.to/3hTKuTt
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✅ Python Data Science Handbook : https://amzn.to/37Tvf8n
✅ R for Data Science : https://amzn.to/2YCPcgW
✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: https://amzn.to/33jTdcv
✅ AI Superpowers: China, Silicon Valley, and the New World Order: https://amzn.to/3nghGrd
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