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Numpy Array Operations

A selection of five - By Iman Kassim

NumPy is an open-source Python library used for scientific computing. It contains matrix and array data structures, and is commonly used in data science and analytics.

The NumPy Operations I will be talking about are:

  • dot()
  • diagflat()
  • amax()
  • shape()
  • around()
!pip install jovian --upgrade -q
WARNING: You are using pip version 20.2.2; however, version 20.2.3 is available. You should consider upgrading via the '/opt/conda/bin/python3.7 -m pip install --upgrade pip' command.
import jovian
jovian.commit(project='numpy-array-operations')
[jovian] Attempting to save notebook.. [jovian] Detected Kaggle notebook... [jovian] Please enter your API key ( from https://jovian.ml/ ): API KEY: ········ [jovian] Uploading notebook to https://jovian.ml/iman-n-s-kassim/numpy-array-operations

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