Which Python does PySpark use?
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Subsequently, one may also ask, what is PySpark in Python?
PySpark is the Python API written in python to support Apache Spark. Apache Spark is a distributed framework that can handle Big Data analysis.
Beside above, does spark work with Python 3? Apache Spark is a cluster computing framework, currently one of the most actively developed in the open-source Big Data arena. Since the latest version 1.4 (June 2015), Spark supports R and Python 3 (to complement the previously available support for Java, Scala and Python 2).
Herein, what can I do with PySpark?
It provides a wide range of libraries and is majorly used for Machine Learning and Real-Time Streaming Analytics. In other words, it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.
How is PySpark different from Python?
PySpark is an API written for using Python along with Spark framework. As we all know, Spark is a computational engine, that works with Big Data and Python is a programming language.