You’ll see how to do this with pip, Homebrew and via the Spark download page. In this tutorial, you’ll interface Spark with Python through PySpark, the Spark Python API that exposes the Spark programming model to Python. This technology is an in-demand skill for data engineers, but also data scientists can benefit from learning Spark when doing Exploratory Data Analysis (EDA), feature extraction and, of course, ML.
Apache Spark and Python for Big Data and Machine LearningĪpache Spark is known as a fast, easy-to-use and general engine for big data processing that has built-in modules for streaming, SQL, Machine Learning (ML) and graph processing.
