Spline Interpolation In Python (Linear, Quadratic, Cubic, etc…) | Numerical Methods

Welcome to our YouTube tutorial on "Spline Interpolation in Python!" In this video, we'll explore various types of spline interpolation techniques, including linear, quadratic, and cubic, and demonstrate how to implement them using Python. Whether you're a beginner or an experienced programmer, this tutorial will provide you with the knowledge and code examples needed to effectively interpolate data points using splines. Join us as we dive into the world of spline interpolation and unlock its power in Python programming.

This timeline is meant to help you better understand how to use Spline Interpolation In Python:
0:00 Introduction
0:38 How to import libraries in PyCharm
2:26 How to create a scatterplot in Python
3:18 How to use linear spline interpolation in Python
5:05 How to use quadratic spline interpolation in Python
5:57 How to use cubic spline interpolation in Python
6:32 How to use cubic spline interpolation with boundary conditions in Python
7:46 Outro

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This video is part of our Numerical Methods course. Numerical methods is about solving math problems through approximating the solution of problems that would be difficult or impossible to solve analytically. In this playlist we will cover topics such as solving systems of linear equations, solving systems of non-linear equations, numerical integration, numerical derivatives, etc..
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[ninavanleeuwen]

What if I want something more smooth that does not necessarily go through all the datapoints? How would you do this and is it then still called interpolation?

[ruin]

How will the interpolation logic work when we can have only two outputs 1 and 0 only