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2 years ago

5 numpy functions to know to be a good data analyst

In this notebook we will discover 5 numpy functions widely used in data analysis

NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), in this notebook we will discover these 5 numpy functions :

  • numpy.copyto()
  • numpy.vstack()
  • numpy.hstack()
  • numpy.dstack()
  • numpy.append()

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.ai/ ): API KEY: ·········· [jovian] Uploading colab notebook to Jovian... Committed successfully! https://jovian.ai/fadouro/numpy-array-operations 
'https://jovian.ai/fadouro/numpy-array-operations'