Skip to main content

Apache Spark in Python: Beginner's Guide

A beginner's guide to Spark in Python based on 9 popular questions, such as how to install PySpark in Jupyter Notebook, best practices,...
Mar 2017  · 29 min read
banner

You might already know Apache Spark as a fast and general engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing. It’s well-known for its speed, ease of use, generality and the ability to run virtually everywhere. And even though Spark is one of the most asked tools for data engineers, also data scientists can benefit from Spark when doing exploratory data analysis, feature extraction, supervised learning and model evaluation.

Today’s post will introduce you to some basic Spark in Python topics, based on 9 of the most frequently asked questions, such as

If you are interested in learning more about PySpark, consider taking DataCamp’s Introduction to PySpark course.

Check out our Apache Spark Tutorial: ML with PySpark.

Introduction to Python

Beginner
4 hours
4,585,012
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
See DetailsRight Arrow
Start Course

Intermediate Python

Beginner
4 hours
880,209
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

Introduction to PySpark

Beginner
4 hours
106,678
Learn to implement distributed data management and machine learning in Spark using the PySpark package.
See all coursesRight Arrow
Related
Data Science Concept Vector Image

How to Become a Data Scientist in 8 Steps

Find out everything you need to know about becoming a data scientist, and find out whether it’s the right career for you!
Jose Jorge Rodriguez Salgado's photo

Jose Jorge Rodriguez Salgado

12 min

DC Data in Soccer Infographic.png

How Data Science is Changing Soccer

With the Fifa 2022 World Cup upon us, learn about the most widely used data science use-cases in soccer.
Richie Cotton's photo

Richie Cotton

The 23 Top Python Interview Questions & Answers

Essential Python interview questions with examples for job seekers, final-year students, and data professionals.
Abid Ali Awan's photo

Abid Ali Awan

22 min

Plotly Express Cheat Sheet

Plotly is one of the most widely used data visualization packages in Python. Learn more about it in this cheat sheet.
DataCamp Team's photo

DataCamp Team

0 min

Getting started with Python cheat sheet

Python is the most popular programming language in data science. Use this cheat sheet to jumpstart your Python learning journey.
DataCamp Team's photo

DataCamp Team

8 min

Python pandas tutorial: The ultimate guide for beginners

Are you ready to begin your pandas journey? Here’s a step-by-step guide on how to get started. [Updated November 2022]
Vidhi Chugh's photo

Vidhi Chugh

15 min

See MoreSee More