Save dictionary as a pyspark Dataframe and load it Python Databricks

In this tutorial, we will explore how to save a Python dictionary as a PySpark DataFrame and load it in Databricks. PySpark is a powerful library for big data processing in the Apache Spark framework, and it allows you to work with structured data using DataFrames. We'll walk through the steps, provide code examples, and explain the process in detail.
Before you begin, make sure you have the following prerequisites in place:
In your Databricks notebook, start by initializing PySpark.
Let's create a sample Python dictionary that we want to convert into a PySpark DataFrame. For this tutorial, we will use a simple dictionary with key-value pairs.