You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I found the given examples either not related to Data science directly, or too involved (in terms of front-end code) for data scientists who want to just run NumPy/Matplotlib code on the browser with simple user interactions with HTML widgets. So, I created a simple example of random variable generation (which is foundational for data science work anyway).
Here is the HTML hosted on my Github page. An awesome nod to the power of PyScript that we can run this kind of computation on a Github static page w/o a single line of JS code actually doing anything :-)
I found the given examples either not related to Data science directly, or too involved (in terms of front-end code) for data scientists who want to just run NumPy/Matplotlib code on the browser with simple user interactions with HTML widgets. So, I created a simple example of random variable generation (which is foundational for data science work anyway).
Here is the HTML hosted on my Github page. An awesome nod to the power of PyScript that we can run this kind of computation on a Github static page w/o a single line of JS code actually doing anything :-)
https://tirthajyoti.github.io/pyscript_random_gen.html
The text was updated successfully, but these errors were encountered: