What are ufuncs in NumPy?
Ufuncs, or universal functions, are functions that operate on ndarrays in an element-wise fashion. They are a core feature of NumPy.
Can you give me an example of a ufunc?
Sure! A common ufunc is np.add
, which adds two arrays element-wise. For example, np.add([1, 2], [3, 4])
results in [4, 6]
.
How do ufuncs improve performance?
Ufuncs are optimized for performance, allowing operations to be executed in compiled code, which is faster than Python loops.
Are there any built-in ufuncs in NumPy?
Yes, NumPy provides many built-in ufuncs like np.sin
, np.exp
, and np.sqrt
, which can be used for various mathematical operations.
Can I create my own ufunc?
Yes, you can create your own ufunc using np.frompyfunc
or by defining a function and using np.vectorize
.
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