July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Introduction to PySpark
Python is one of the most popular and general purpose programming languages with a number of exciting features for data processing and machine learning tasks. To use Spark from Python, PySpark was initially developed as a lightweight frontend of Python to Apache Spark and using Spark's distributed computation engine. In this chapter, we will discuss a few technical aspects of using Spark from Python IDE such as PyCharm.
Many data scientists use Python because it has a rich variety of numerical libraries with a statistical, machine learning, or optimization focus. However, processing large-scale datasets in Python is usually tedious as the runtime is single-threaded. As a result, data that fits in the main memory can ...
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