A special highlight was, of course, the presentation by our colleague Sebastian Adler , who was heralded as " one of the smartest SEOs ." In his session, "Confetti and Balloons Instead of Code Cells and Data Frames," Sebastian explained how to make your SEO nerd stuff accessible to non-nerds.
SEOs often use Jupyter Notebooks for reporting and documentation, but the presentation of belize phone number data this content is too complex for non-professionals. This is particularly evident in day-to-day agency work and communication with clients. Sebastian therefore recommends Streamlit , an open source library for machine learning and data science. Streamlit is based on Python and enables the direct creation of web apps. This allows data to be processed and attractively visualized.
Other advantages of Streamlit:
The apps are directly accessible via the network and also work on smartphones – unlike the Jupyter notebook.
Streamlit includes simple input widgets that are also less error-prone than the cryptic data codes of Jupyter Notebook.
Streamlit enables output widgets for a descriptive user interface.
Streamlit uses Altair as a charting library.
Screencasts can be recorded and published directly in the cloud or self-hosted.
Tables can also be used and visualized as a data source.
There is also a GSC connector: This allows you to provide the team with an improved GSC interface.
Streamlit is being developed rapidly.
The web apps ultimately feel like real applications – including fun display formats like flying balloons.
- Board index
- All times are UTC
- Delete cookies
- Contact us