# Workshop 2.3 You Try Meow (Miauw)


The goal of this workshop to work with the _Discrete Fourier Transform_ (DFT), implemented in Python as the _Fast Fourier Transform_ (FFT) through `np.fft.fft`, and to understand and interpret its output.

To start off, let's do a quick quiz question: _what is the primary purpose of the DFT?_ Preview this file (and enable external content) to see the question below.
<iframe src="https://tudelft.h5p.com/content/1292126914399042257/embed" aria-label="Meow" width="544" height="544" frameborder="0" allowfullscreen="allowfullscreen" allow="autoplay *; geolocation *; microphone *; camera *; midi *; encrypted-media *"></iframe>

That's right! We convert our signal into the frequency domain.

And if you would like an additional explanation of the key frequencies, you can find it [here](https://medium.com/@kovalenko.alx/fun-with-fourier-591662576a77).

> By Christian Tiberius, Delft University of Technology. CC BY 4.0, more info [on the Credits page of Workbook](https://mude.citg.tudelft.nl/workbook-2025/credits.html).