https://github.com/ank0409/Ditching-Excel-for-Python

Functionalities in Excel translated to Python
https://github.com/ank0409/Ditching-Excel-for-Python

dataframe eda excel exploratory-data-analysis machine-learning numpy pandas pivot-tables python tutorial vba

Last synced: 2 months ago
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Functionalities in Excel translated to Python

• Host: GitHub
• URL: https://github.com/ank0409/Ditching-Excel-for-Python
• Owner: ank0409
• Created: 2019-01-17T10:06:07.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2021-04-20T14:31:52.000Z (over 3 years ago)
• Last Synced: 2024-08-02T16:53:40.080Z (5 months ago)
• Topics: dataframe, eda, excel, exploratory-data-analysis, machine-learning, numpy, pandas, pivot-tables, python, tutorial, vba
• Language: Jupyter Notebook
• Homepage:
• Size: 14.6 KB
• Stars: 233
• Watchers: 26
• Forks: 89
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• my-awesome-github-stars - ank0409/Ditching-Excel-for-Python - Functionalities in Excel translated to Python (Jupyter Notebook)
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README

        
# Ditching Excel for Python

Functionalities in Excel translated to Python.

The very first thought of creating this tutorial came into existence when I exhausted many hours online trying to search for one stop shop to replicate the most common functions in Excel using Pandas and Numpy. Though there are many tutorials/articles/blogs but then I had to traverse between multiple tabs, so to avoid wasting my time moving between tabs and there might be atleast one person like who's searching for the same I thought of creating this tutorial.

In this tutorial, we'll explore how to use Excel as input and output only rest all Excel tasks will be carried out using Python libraries: Pandas and Numpy

This is not the best for sure but should help to start your journey, I am working on another exhaustive one, which should be out soon.

Happy Learning!

[](https://deepnote.com/launch?url=https://github.com/ank0409/Ditching-Excel-for-Python/blob/master/Ditching%20Excel%20for%20Python!.ipynb)

If at all my tutorial helped you, would you buy me a Ko-fi!


[![ko-fi](https://www.ko-fi.com/img/donate_sm.png)](https://ko-fi.com/I2I0PGQA)