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# scipy.special.exp10

scipy.special.exp10(x, out=None) = <ufunc 'exp10'>

  Compute `10**x` element-wise.

  Parameters:
    x array_like

      x must contain real numbers.

    out ndarray, optional

      Optional output array for the function values

  Returns:
    scalar or ndarray

      `10**x`, computed element-wise.

  Notes

  Array API Standard Support

  `exp10` has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable `SCIPY_ARRAY_API=1` and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

  Library | CPU | GPU
  --- | --- | ---
  NumPy | ✅ | n/a
  CuPy | n/a | ✅
  PyTorch | ✅ | ⛔
  JAX | ⚠️ no JIT | ⛔
  Dask | ✅ | n/a

  > See Support for the array API standard for more information.

  Examples

      >>> import numpy as np
      >>> from scipy.special import exp10

      >>> exp10(3)
      1000.0
      >>> x = np.array([[-1, -0.5, 0], [0.5, 1, 1.5]])
      >>> exp10(x)
      array([[  0.1       ,   0.31622777,   1.        ],
             [  3.16227766,  10.        ,  31.6227766 ]])