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Let's Explore Some Functions In Numpy

5 Interesting Numpy Functions

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. The ancestor of NumPy, Numeric, was originally created by Jim Hugunin with contributions from several other developers. In 2005, Travis Oliphant created NumPy by incorporating features of the competing Numarray into Numeric, with extensive modifications. NumPy is open-source software and has many contributors.

  • numpy.conj()
  • numpy.reshape()
  • numpy.cross()
  • numpy.linalg.det()
  • numpy.linalg.inv()

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] Detected Colab notebook... [jovian] Please enter your API key ( from https://jovian.ml/ ): API KEY: ·········· [jovian] Uploading colab notebook to Jovian... [jovian] Committed successfully! https://jovian.ml/afram-p245/numpy-array-operations 
'https://jovian.ml/afram-p245/numpy-array-operations'

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