Introduction to Pandas. Pandas is an open-source data analysis library written in Python that provides fast, flexible, and highly efficient data structures for working with structured data. The library is widely used by data analysts, data scientists, and developers to manipulate, transform, analyze, and visualize data.
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- PySpark Tutorial For Beginners (Spark with Python). PySpark is the Python API for Apache Spark, which is a cluster computing system. It allows you to write Spark applications using Python APIs and provides the PySpark shell for interactively analyzing your data in a distributed environment.
- Apache SPARK Up and Running FAST with Docker. A simple guide to get Apache Spark up and running fast with Docker. We will be using docker-compose to manage the docker containers.
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