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Some useful NumPy Array Operations

NumPy is a Python library that supports support and swift operations for arrays of any dimension. Here are some interesting functionalities that can be implemented using this awesome collection of mathematical functions.

  • logspace() for logarithmic scales
  • tile() for repetition of array elements
  • trigonometric functions
  • roots of a polynomial
  • solving a system of linear equations

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.commit(project='numpy-array-operations')
[jovian] Attempting to save notebook.. [jovian] Updating notebook "aamnaam/numpy-array-operations" on https://jovian.ai [jovian] Uploading notebook.. [jovian] Uploading additional files... [jovian] Committed successfully! https://jovian.ai/aamnaam/numpy-array-operations

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