Dataverse SDK for Python - Pandas Integration Guide

# Dataverse SDK for Python - Pandas Integration Guide

## Overview
Guide to integrating the Dataverse SDK for Python with pandas DataFrames for data science and analysis workflows. The SDK's JSON response format maps seamlessly to pandas DataFrames, enabling data scientists to work with Dataverse data using familiar data manipulation tools.

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## 1. Introduction to PandasODataClient

### What is PandasODataClient?
`PandasODataClient` is a thin wrapper around the standard `DataverseClient` that returns data in pandas DataFrame format instead of raw JSON dictionaries. This makes it ideal for:
- Data scientists working with tabular data
- Analytics and reporting workflows
- Data exploration and cleaning
- Integration with machine learning pipelines

### Installation Requirements
```bash
# Install core dependencies
pip install PowerPlatform-Dataverse-Client
pip install azure-identity

# Install pandas for data manipulation
pip install pandas
```