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Numpy Functions

5 useful numpy functions

The most important object defined in NumPy is an N-dimensional array type called ndarray. It describes the collection of items of the same type. By using different type of functions we can manupilate arrays, create arrays etc.

  • function 1 = Transpose
  • function 2 = Vertical split
  • function 3 = argmax
  • function 4 = Append
  • function 5 = Tiling

The recommended way to run this notebook is to click the "Run" button at the top of this page, and select "Run on Binder". This will run the notebook on mybinder.org, a free online service for running Jupyter notebooks.

!pip install jovian --upgrade -q
import jovian
[jovian] Attempting to save notebook.. [jovian] Updating notebook "kumar-shailesh1597/numpy-array-operations" on https://jovian.ml/ [jovian] Uploading notebook.. [jovian] Capturing environment.. [jovian] Committed successfully! https://jovian.ml/kumar-shailesh1597/numpy-array-operations

Let's begin by importing Numpy and listing out the functions covered in this notebook.