PySpark for Data Science. From definition, the differences with…

The Differences Between PySpark and Pandas 2. What is PySpark? 3. Why PySpark and What is PySpark used for? Pandas is one of the Python libraries that we often hear about and use. That is commonly used for data manipulation and analysis. Besides that, it also uses in Machine Learning and Data Science projects. It is a fast and efficient library that allows you to work with data in a variety of formats, such as CSV, JSON, Excel, SQL databases, and more. Pandas is designed for working with small to medium-sized datasets that can fit into memory.