https://github.com/ejw-data/python-bitwise-operators

Difference between bitwise and logical operators when using pandas
https://github.com/ejw-data/python-bitwise-operators

numpy pandas

Last synced: 4 months ago
JSON representation

Difference between bitwise and logical operators when using pandas

• Host: GitHub
• URL: https://github.com/ejw-data/python-bitwise-operators
• Owner: ejw-data
• Created: 2022-03-31T23:54:37.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-06-28T02:10:29.000Z (over 3 years ago)
• Last Synced: 2025-06-03T01:28:51.597Z (8 months ago)
• Topics: numpy, pandas
• Language: Jupyter Notebook
• Homepage:
• Size: 139 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# python-bitwise-operations  

Auhtor:  Erin James Wills, ejw.data@gmail.com   

![Bitwise Operations](./images/py-bitwise.png)  




## Overview



> Occasionally I am asked during the bootcamp to explain the difference between bitwise and logical operators when using pandas.  I created this repo to have handy so I can provide some examples more quickly.




## Content

*  `initial_example`:  Contains a simple function to show the bit representation of an integer.  Several examples are provided to illustrate Pythons use of logical operators and how these are affected by using pandas series.




## Status

*  This is a work-in-progress.  




## Technologies    

*  Python




## Data Source  

Not applicable




## Setup and Installation  

1. Environment needs the following:  

    *  Python 3.6+  

    *  pandas  

    *  numpy

1. Activate your environment

1. Clone the repo to your local machine

1. Navigate the terminal to the repo folder

1. Run `python initial_example.ipynb`