It looks like it’s time for our mid-month Scientific Computing with Python webinar! This month’s topic is sure to prove very useful for many of you data analysts: Interpolation with NumPy and SciPy.
In many data-processing scenarios it is necessary to use a discrete set of available data-points to infer the value of a function at a new data-point. One approach to this problem is interpolation, which constructs a new model-function that goes through the original data-points. There are many forms of interpolation (polynomial, spline, kriging, radial basis function, etc.), and SciPy includes some of these interpolation forms. This webinar will review the interpolation modules available in SciPy and in the larger Python community and provide instruction on their use via example.
NumPy/SciPy interpolation
Friday, November 20
1pm CDT (7pm UTC)
register at GoToMeeting
Hope to see you there!
Is there an archive of this? How about just the slides?
Unfortunately, I missed it.