Programming, Math and Physics
https://metaperl.github.io/pure-python-web-development/class-a.html
https://nicegui.io/
https://news.ycombinator.com/item?id=39566732
https://reflex.dev/blog/2024-03-21-reflex-architecture/
https://news.ycombinator.com/item?id=39793505
https://python.plainenglish.io/top-5-python-frontend-libraries-for-data-science-91261a65e366
eel https://www.youtube.com/watch?v=Bh8pYfwFjA0
https://kitware.github.io/trame/
https://vimeo.com/761096621/af2287747f
https://github.com/widgetti/solara
https://solara.dev/
https://betterprogramming.pub/introducing-litestar-a-new-python-web-framework-part-2-0bf2564f9f07
https://github.com/streamsync-cloud/streamsync
https://www.streamsync.cloud/getting-started.html
https://medium.datadriveninvestor.com/streamlit-vs-dash-vs-voil%C3%A0-vs-panel-battle-of-the-python-dashboarding-giants-177c40b9ea57
https://news.ycombinator.com/item?id=26842510 discussion
https://github.com/MathInspector/MathInspector
https://lowdefy.com/ An open-source low-code framework to build web apps, admin panels, BI dashboards, workflows, and CRUD apps with ease.
https://rmorshea.github.io/articles/2021/idom-react-but-its-python/article/
https://gradio.app/
https://explainerdashboard.readthedocs.io/en/latest/#
https://github.com/oegedijk/explainerdashboard
https://towardsdatascience.com/build-dashboards-in-less-than-10-lines-of-code-835e9abeae4b
turn your Python projects into websites and host it online for free
https://www.youtube.com/watch?v=VJe_80iUUuc
https://betterprogramming.pub/from-traffic-to-revenue-a-deep-dive-into-my-medium-data-98ac5b405605 + DuckDB +Plotly https://habr.com/ru/companies/amvera/articles/744952/
https://docs.streamlit.io/
https://github.com/jrieke/best-of-streamlit
https://www.coursera.org/projects/interactive-dashboards-streamlit-python
https://awesome-streamlit.readthedocs.io/
https://gilberttanner.com/blog/turn-your-data-science-script-into-websites-with-streamlit
https://www.youtube.com/watch?v=gWV1gbeB-IM&t
https://www.redhat.com/sysadmin/streamlit-display-data
https://www.kdnuggets.com/publications/sheets/Streamlit_for_Machine_Learning_Cheat_Sheet_KDnuggets.pdf
https://docs.streamlit.io/library/api-reference/charts/st.pydeck_chart
https://www.youtube.com/watch?v=yg0Y7w4AHhw
https://www.youtube.com/watch?v=7yAw1nPareM
https://towardsdatascience.com/plotly-dash-vs-streamlit-which-is-the-best-library-for-building-data-dashboard-web-apps-97d7c98b938c
https://www.youtube.com/watch?v=JwSS70SZdyM
pip install streamlit
streamlit config show
streamlit run [filename]
streamlit hello
streamlit run your_script.py [-- script args]
https://www.youtube.com/watch?v=gWV1gbeB-IM&t
https://www.redhat.com/sysadmin/streamlit-display-data
https://www.kdnuggets.com/publications/sheets/Streamlit_for_Machine_Learning_Cheat_Sheet_KDnuggets.pdf
https://docs.streamlit.io/library/api-reference/charts/st.pydeck_chart
Others https://may69.com/purepython/
https://nicegui.io/
https://habr.com/ru/post/473196/
https://medium.com/analytics-vidhya/build-and-deploy-your-own-machine-learning-web-application-by-streamlit-and-heroku-d306f2d29474
https://celadonsoft.com/ai-ml/the-complete-beginners-guide-to-web-scraping
https://discuss.streamlit.io/t/the-streamlit-roadmap-big-plans-for-2020/2054
https://github.com/mljar/mljar-studio MLJAR Studio is an Interactive Computing Platform for Humans.
https://github.com/forbesmyester/esqlate Build minimum viable admin panels quickly with just SQL
https://panel.holoviz.org/index.html
https://awesome-panel.org/home
https://medium.com/@marcskovmadsen/i-prefer-to-use-panel-for-my-data-apps-here-is-why-1ff5d2b98e8f
https://www.datarevenue.com/en-blog/data-dashboarding-streamlit-vs-dash-vs-shiny-vs-voila
https://www.deeplearningbook.org/
https://fluxml.ai/ . Julia Flux
https://news.ycombinator.com/item?id=24281613
https://www.youtube.com/watch?v=0RihZNdQc7k D-tail
https://github.com/man-group/dtale
D-Tale Visualizer for pandas data structures https://github.com/man-group/dtale
http://alphatechadmin.pythonanywhere.com/dtale/main/1
D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures.
It integrates seamlessly with ipython notebooks & python/ipython terminals.
Currently this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex.
Convert Jupyter Notebooks to Web App: mercury
https://github.com/mljar/mercury
https://github.com/mljar/mercury
https://runmercury.com/
https://www.reddit.com/r/Python/comments/15z1amc/how_to_build_the_front_end_of_a_web_app_if_you/ https://runmercury.com/
coingecko python wrapper: https://github.com/man-c/pycoingecko
coingecko api search: https://www.coingecko.com/en/api