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Updated 2 years ago
5 Interesting and Useful Numpy Functions
- numpy.diag(v,k=0)
- numpy.swapaxes(array, axis1, axis2)
- numpy.dsplit(arrayy, indices_or_sections)
- linalg.eig(array)
- np.arange(start,stop,step)
!pip install jovian --upgrade -q
import jovian
jovian.commit(project='numpy-array-operations')
[jovian] Attempting to save notebook..
[jovian] Updating notebook "anithabhukya/numpy-array-operations" on https://jovian.ai/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ai/anithabhukya/numpy-array-operations
Let's begin by importing Numpy and listing out the functions covered in this notebook.