How can I use Dask for FFT computations?
You can use Dask to parallelize FFT computations on large datasets. First, ensure you have Dask and NumPy installed.
What are the benefits of using Dask for FFT over NumPy?
Dask allows you to handle larger-than-memory datasets and parallelizes computations, making it faster for big data.
Can you show me a simple code example?
Sure! Here's a basic example:
import dask.array as da
# Create a Dask array
x = da.random.random((10000, 10000), chunks=(1000, 1000))
# Compute the FFT
fft_result = da.fft.fft2(x)
# Compute the result
result = fft_result.compute()
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