Using google colab create Jupytor notebooks for Projects by using Excel and CSV files.

Colab is a Cloud based platform for Python and Machine Learning.

All libraries are already available and you only have to import them to start using. You need one google account to start using colab.

You can share your Juytor notebook files through colab platform. Keep your files in google drive and share them with others.

Adding CSV or Excel files to your code.

We can keep our CSV or Excel files in google drive and use it in our Colab platform.

Upload your CSV or Excel file to any folder in google drive. We created one folder inside our Colab Notbooks folder and named it as downloads. You can give your own name to the folders.
Now you have to mount the drive to your colab file. Run this code.

from google.colab import drive
drive.mount('/content/drive')

In your left panel you can see drive icon. Expand the directory structure to reach and select your file you want to use. Right click and use copy path.
Now use this path to create a variable to use in our read_excel() or read_csv() functions.
```
import pandas as pd
path='/content/drive/My Drive/Colab Notebooks/downloads/my_file.xlsx'
my_data = pd.read_excel(path)
```

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colab : Google Cloud Platform

Adding CSV or Excel files to your code.