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Part 1 - Interactive UIs from Python Functions | ipywidgets Crash Course

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Hi, My name is Sunny Solanki and this is the first video of my series on the Python library "ipywidgets". In this ipywidgets tutorial, I explain how to create interactive UIs from Python functions using "ipywidgets". I explain functions interact(), interactive(), interact_manual() and interactive_output() from ipywidgets to create UIs. I also explain how we can create various widgets available from ipywidgets. It'll clear all your doubts and will get you started with the library.
If you are interested in learning ipywidgets in-depth, then I recommend you check out our playlist for the whole crash course.
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Important Chapters:
0:00 - Interactive UIs from Python Functions
1:08 - ipywidgets Tutorial Start
2:09 - interact()
2:22: Simple UI Creation
6:07 - Fix Value of Argument
7:06 - How "interact()" Determines Widget Type?
11:07 - Create Widget Objects for More Flexibility
17:29 - Prevent Continuous Updates
19:58 - interactive()
22:16 - interactive_output()
24:00 - Outro
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Social:
#python #interactiveui #jupyternotebook #jupyterlab #jupyter #ipython #interactive #ipywidgets #widgets #exploratorydataanalysis #datascience #datasciencetutorial #python #pythonprogramming #pythoncode #pythontutorial #matplotlib #bokeh #pandas #automate #pythonwebdevelopment #jupyter-notebook-widgets
If you are interested in learning ipywidgets in-depth, then I recommend you check out our playlist for the whole crash course.
========================================================
=======================================================
=======================================================
=======================================================
=======================================================
====================================================
Important Chapters:
0:00 - Interactive UIs from Python Functions
1:08 - ipywidgets Tutorial Start
2:09 - interact()
2:22: Simple UI Creation
6:07 - Fix Value of Argument
7:06 - How "interact()" Determines Widget Type?
11:07 - Create Widget Objects for More Flexibility
17:29 - Prevent Continuous Updates
19:58 - interactive()
22:16 - interactive_output()
24:00 - Outro
====================================================
Social:
#python #interactiveui #jupyternotebook #jupyterlab #jupyter #ipython #interactive #ipywidgets #widgets #exploratorydataanalysis #datascience #datasciencetutorial #python #pythonprogramming #pythoncode #pythontutorial #matplotlib #bokeh #pandas #automate #pythonwebdevelopment #jupyter-notebook-widgets
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