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In this video, I will be providing a high-level overview of how you can use custom themes for your Streamlit web apps. Now you can customize the colors of text and background to your heart's content! - Demo (Light theme) https://apps.streamlitusercontent.com/streamlit/theming-showcase/main/streamlit_app.py/+/ - Demo (Dark theme) https://apps.streamlitusercontent.com/streamlit/theming-showcase-dark/main/streamlit_app.py/+/ - Demo (Custom green theme) https://apps.streamlitusercontent.com/streamlit/theming-showcase-green/main/streamlit_app.py/+/ - Demo (Custom blue theme) https://apps.streamlitusercontent.com/streamlit/theming-showcase-blue/main/streamlit_app.py/+/ - GitHub https://github.com/streamlit/theming-showcase - Announcement https://blog.streamlit.io/introducing-theming/ - Documentation https://docs.streamlit.io/en/stable/main_concepts.html#themes - HTML color codes https://htmlcolorcodes.com/ 🌟 Subscribe to this YouTube channel https://www.youtube.com/dataprofessor?sub_confirmation=1 🌟 Join the Newsletter of Data Professor http://sendfox.com/dataprofessor 🌟 Buy me a coffee https://www.buymeacoffee.com/dataprofessor 🌟 Download Kite for FREE https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=dataprofessor&utm_content=description-only ⭕ Playlist: Check out our other videos in the following playlists. ✅ Data Science 101: https://bit.ly/dataprofessor-ds101 ✅ Data Science YouTuber Podcast: https://bit.ly/datascience-youtuber-podcast ✅ Data Science Virtual Internship: https://bit.ly/dataprofessor-internship ✅ Bioinformatics: http://bit.ly/dataprofessor-bioinformatics ✅ Data Science Toolbox: https://bit.ly/dataprofessor-datasciencetoolbox ✅ Streamlit (Web App in Python): https://bit.ly/dataprofessor-streamlit ✅ Shiny (Web App in R): https://bit.ly/dataprofessor-shiny ✅ Google Colab Tips and Tricks: https://bit.ly/dataprofessor-google-colab ✅ Pandas Tips and Tricks: https://bit.ly/dataprofessor-pandas ✅ Python Data Science Project: https://bit.ly/dataprofessor-python-ds ✅ R Data Science Project: https://bit.ly/dataprofessor-r-ds ✅ Weka (No Code Machine Learning): http://bit.ly/dp-weka ⭕ Recommended Books: 🌟https://kit.co/dataprofessor ✅ Hands-On Machine Learning with Scikit-Learn : https://amzn.to/3hTKuTt ✅ Data Science from Scratch : https://amzn.to/3fO0JiZ ✅ 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 ⭕ Stock photos, graphics and videos used on this channel: ✅ https://1.envato.market/c/2346717/628379/4662 ⭕ Follow us: ✅ Medium: http://medium.dataprofessor.org/ ✅ FaceBook: http://facebook.com/dataprofessor/ ✅ Website: http://dataprofessor.org/ (Under construction) ✅ Twitter: https://twitter.com/thedataprof/ ✅ Instagram: https://www.instagram.com/data.professor/ ✅ LinkedIn: https://www.linkedin.com/in/chanin-nantasenamat/ ✅ GitHub 1: https://github.com/dataprofessor/ ✅ GitHub 2: https://github.com/chaninlab/ ⭕ Disclaimer: Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents. #streamlit #spreadsheets #python #datascience #dataanalyst #datascientist
