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To extract CSV and JSON files while using Google Colab and Google Drive

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To extract CSV and JSON files while using Google Colab and Google Drive, you can follow these steps:
*Step 1: Mount your Google Drive*
- In Google Colab, run the following command to mount your Google Drive:
``code
```
* Follow the prompts to authenticate and authorize access to your Google Drive.
**Step 2: Access your files**
* Once your Google Drive is mounted, you can access your files using the `!ls` command:
```bash
!ls /content/gdrive/MyDrive/
```
- Replace `MyDrive` with the name of the folder that contains your CSV and JSON files.
*Step 3: Extract CSV files*
- To extract a CSV file, use the `!cp` command:
```
shell
```
*Step 4: Extract JSON files*
- To extract a JSON file, use the `!cp` command:
```
shell
```
*Step 5: Load the files into your Colab notebook*
- To load the extracted CSV file into a Pandas dataframe:
```
import pandas as pd
```
- To load the extracted JSON file into a Python dictionary:
```
import json
```
Now you can work with your CSV and JSON files directly in your Google Colab notebook!
*Step 1: Mount your Google Drive*
- In Google Colab, run the following command to mount your Google Drive:
``code
```
* Follow the prompts to authenticate and authorize access to your Google Drive.
**Step 2: Access your files**
* Once your Google Drive is mounted, you can access your files using the `!ls` command:
```bash
!ls /content/gdrive/MyDrive/
```
- Replace `MyDrive` with the name of the folder that contains your CSV and JSON files.
*Step 3: Extract CSV files*
- To extract a CSV file, use the `!cp` command:
```
shell
```
*Step 4: Extract JSON files*
- To extract a JSON file, use the `!cp` command:
```
shell
```
*Step 5: Load the files into your Colab notebook*
- To load the extracted CSV file into a Pandas dataframe:
```
import pandas as pd
```
- To load the extracted JSON file into a Python dictionary:
```
import json
```
Now you can work with your CSV and JSON files directly in your Google Colab notebook!