Tell a Story about Data using Interactive UIs | Matplotlib | ipywidgets | Jupyter Notebook | Python

Hi, My name is Sunny Solanki and in this video tutorial, I explain how to create interactive UIs (dashboard) in Jupyter Notebook using Python libraries "Matplotlib" and "ipywidgets". This can help you tell better story about your data with added interactivity. Spend 15 minutes of your time and you'll end up learning a very valuable skill that every data scientist should possess.

If you are interested in learning ipywidgets in-depth, I recommend you check out our playlist for the whole crash course.

=======================================================
Useful Tutorials:

====================================================
Important Chapters:

0:00 - Intro
2:34 - Load Dataset
4:40 - Scatter Chart
10:10 - Bar Chart
13:16 - Final Dashboard (Interactive UI)
14:45 - Outro

====================================================

Social:

#python #jupyternotebook #jupyterlab #jupyter #ipython #datavisualization #dataviz #style #layout #dashboard #charts #interactive #ipywidgets#styling #widgets #widgets-layout #widgetlayout #webapp #exploratorydataanalysis #datascience #datasciencetutorial #python #pythonprogramming #pythoncode #pythontutorial #matplotlib #pandas #automate #pythonwebdevelopment #matplotlib-dashboard #python-dashboard-jupyter-notebook