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5 Numpy Functions that make the job smooth

These functions are very useful to solve any data related problem

Numpy is an open source Python extension that allow us to use vectors and matrices. We can also use Numpy in the domain of
Linear Algebra and Fourier Transforms. Its supports large and multi dimensional arrays and matrices.
By using Numpy libraty we get faster results than those obtained from traditional python lists. It faster than python list.

In this notebook we can go through five numpy function that are very useful in mathematical computation in Data Science.

  • array
  • transpose
  • reshape
  • arange
  • around

Let's start by imporing Numpy library into our notebook and listing out these functions in this notebook

!pip install jovian --upgrade -q
import jovian
jovian.commit(project='numpy-array-operations')
[jovian] Attempting to save notebook.. [jovian] Updating notebook "joybarai09/numpy-array-operations" on https://jovian.ai [jovian] Uploading notebook.. [jovian] Uploading additional files... [jovian] Committed successfully! https://jovian.ai/joybarai09/numpy-array-operations

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