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Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial
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Streamlit (Web Application in Python) - Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial

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This course includes

  • 13.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Streamlit (Web Application in Python) Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial

Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial Transcript and Lesson Notes

In this video, you'll learn how to build a shareable data storytelling web app in Python using the ipyvizzu library with Streamlit. Vizzu is a free, open-source tools for animated data stories and visualizations that sup

Quick Summary

In this video, you'll learn how to build a shareable data storytelling web app in Python using the ipyvizzu library with Streamlit. Vizzu is a free, open-source tools for animated data stories and visualizations that sup

Key Takeaways

  • Review the core idea: In this video, you'll learn how to build a shareable data storytelling web app in Python using the ipyvizzu library with Streamlit. Vizzu is a free, open-source tools for animated data stories and visualizations that sup
  • Understand how streamlit fits into Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial.
  • Understand how ipyvizzu fits into Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial.
  • Understand how vizzu fits into Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial.
  • Understand how streamlit tutorial fits into Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial.

Key Concepts

Full Transcript

In this video, you'll learn how to build a shareable data storytelling web app in Python using the ipyvizzu library with Streamlit. Vizzu is a free, open-source tools for animated data stories and visualizations that supports a wide range of platforms. 🔗 Vizzu https://vizzuhq.com/ 🕹️ Demo https://storytelling.streamlitapp.com/ During the release of this video, Streamlit Creator Avra has recently published the streamlit-ipyvizzu components 🔗 https://github.com/avrabyt/Streamlit-ipyvizzu Support my work: 👪 Join as Channel Member: https://www.youtube.com/channel/UCV8e2g4IWQqK71bbzGDEI4Q/join ✉️ Newsletter http://newsletter.dataprofessor.org 📖 Join Medium to Read my Blogs https://data-professor.medium.com/membership ☕ Buy me a coffee https://www.buymeacoffee.com/dataprofessor Recommended Resources 📚 Books https://kit.co/dataprofessor 😎 Taro (Tech Career Mentorship) https://www.jointaro.com/r/dataprofessor/ 📜 Google Data Analytics Professional Certificate https://click.linksynergy.com/deeplink?id=PNeWWakF7rI&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Fprofessional-certificates%2Fgoogle-data-analytics 🤔 Interview Query https://www.interviewquery.com/?ref=dataprofessor 🖥️ Stock photos, graphics and videos used on this channel https://1.envato.market/c/2346717/628379/4662 Subscribe: 🌟 Coding Professor https://www.youtube.com/channel/UCJzlfIoF8nmWqJIv_iWQVRw?sub_confirmation=1 🌟 Data Professor https://www.youtube.com/dataprofessor?sub_confirmation=1 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. #datascience #machinelearning #dataprofessor

Lesson FAQs

What is Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial about?

In this video, you'll learn how to build a shareable data storytelling web app in Python using the ipyvizzu library with Streamlit. Vizzu is a free, open-source tools for animated data stories and visualizations that sup

What key concepts are covered in this lesson?

The lesson covers streamlit, ipyvizzu, vizzu, streamlit tutorial, python tutorial.

What should I learn before Build a data storytelling web app in Python with ipyvizzu | Streamlit tutorial?

Review the previous lessons in Streamlit (Web Application in Python), then use the transcript and key concepts on this page to fill any gaps.

How can I practice after this lesson?

Practice by applying the main concepts: streamlit, ipyvizzu, vizzu, streamlit tutorial.

Does this lesson include a transcript?

Yes. The full transcript is visible on this page in indexable HTML sections.

Is this lesson free?

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