Microsoft Fabric, Data Engineering, Data Science, Python.
speed, outperforming Pandas in many scenarios. Let’s delve into a comparative analysis of these libraries. Generating Synthetic Data with Faker To initiate this comparison, I utilized the Faker library to generate transaction and client data. The card_operations dataset consists of 1.6 million