Unlock the Power of Big Data: Install PySpark 3.5.5 on Fedora 40/41 in 10 Minutes! | 2025 Updated

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In this step-by-step tutorial, learn how to install PySpark 3.5.5 on Fedora 40 or Fedora 41. PySpark is an essential tool for distributed data processing and big data analysis using the power of Apache Spark with Python.

What you'll learn in this video:
Setting up the required dependencies like Java and Python.
Downloading and configuring Apache Spark for Fedora.
Adding environment variables for Spark and Hadoop.
Installing PySpark 3.5.5 and verifying the installation.
Running your first PySpark application to ensure everything is working correctly.
Whether you're a data scientist, engineer, or enthusiast, this tutorial will help you quickly set up PySpark on Fedora so you can start processing data in no time.

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Commands Used in this video are:
export SPARK_HOME=/opt/spark
PATH=$PATH:$SPARK_HOME/bin
sudo vi ~/.bashrc
source ~/.bashrc

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