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Updated 4 years ago
Numpy Array Operations
A selection of five - By Iman Kassim
NumPy is an open-source Python library used for scientific computing. It contains matrix and array data structures, and is commonly used in data science and analytics.
The NumPy Operations I will be talking about are:
- dot()
- diagflat()
- amax()
- shape()
- around()
!pip install jovian --upgrade -q
WARNING: You are using pip version 20.2.2; however, version 20.2.3 is available.
You should consider upgrading via the '/opt/conda/bin/python3.7 -m pip install --upgrade pip' command.
import jovian
jovian.commit(project='numpy-array-operations')
[jovian] Attempting to save notebook..
[jovian] Detected Kaggle notebook...
[jovian] Please enter your API key ( from https://jovian.ml/ ):
API KEY: ········
[jovian] Uploading notebook to https://jovian.ml/iman-n-s-kassim/numpy-array-operations
Let's begin by importing Numpy and listing out the functions covered in this notebook.