How to perform numerical differentiation on data sets using Python

This video covers the basic concept of numerical differentiation. Taking a numerical derivative involves finding the difference between two "nodes" then dividing the difference by the change in step, or "time" values. Here a simple sin function is covered, but any function input should be valid. Numerical analysis is important because not always are we given smooth and satisfying sets of data. Therefore, we must be able to apply numerical methods to analyze the given sets of data. Hope this was helpful, please leave any questions in the comments below!

[Roberta_Toaldo]

Thank you for this amazing explanation!

[illiasolohub]

thanks, was pretty useful for my grapher, I was fiddling with the implementing auto_diff, then understood that it would take me a ton of time, so I decided to find derivatives in a lighter way, and I stumbled upon your video