A Practical Introduction to PySpark

Author(s): Mihir Gandhi

Originally published on Towards AI.

This article explains what PySpark is, some common PySpark functions, and data analysis of the New York City Taxi & Limousine Commission Dataset using PySpark.

PySpark is an interface for Apache Spark in Python. With PySpark, you can write Python and SQL-like commands to manipulate and analyze data in a distributed processing environment.

Apache Spark: Apache Spark is an open-source data processing framework for processing large datasets in a distributed manner. It does in-memory computations to analyze data in real-time. It leverages Apache Hadoop for both storage and processing.

select: Projects a set of expressions and returns a new DataFrame, where a DataFrame… Read the full blog for free on Medium.

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Published via Towards AI