5 Numpy functions that you've might not know.
Functions that you might or might not will use on the normal usage of Numpy
Numpy is a Python library that was created by Travis Oliphant in 2005. It is an open source project that anyone can use for free. Numpy stands for Numerical Python and it was created to handle arrays and multidimentional matrices with a shorter usage of computational memory than the original program language, Python. It has a large number of functions to work within those structures (arrays and matrices). On a regular basis, as a Data Cientist, you will not work directly with Numpy, but use other tools that where built based on the Numpy library, like Pandas.
- Function 1 - numpy.identity
- Function 2 - numpy.rot90
- Function 3 - numpy.sort
- Function 4 - numpy.extract
- Function 5 - numpy.count_nonzero
Note: Click on the links of each function to direct you to the corresponding section.
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
[jovian] Attempting to save notebook..
Let's begin by importing Numpy and listing out the functions covered in this notebook.