This is the Linux app named Spark Python Notebooks whose latest release can be downloaded as spark-py-notebookssourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Spark Python Notebooks
DESCRIPTION
Spark Python Notebooks is a curated collection of example Jupyter notebooks designed to help developers and data engineers learn Apache Spark using Python in an interactive environment. Rather than only providing static code files, this project uses notebooks to teach practical data processing workflows, exposing users to real Spark programming patterns like working with RDDs, DataFrames, and distributed computations. These notebooks often demonstrate how to transform, analyze, and visualize large datasets using PySpark APIs, which mirrors many real-world big data use cases. Because Spark is widely used in industry for large-scale data processing, having these example notebooks lowers the barrier to entry for beginners and intermediate users alike. Users can run these notebooks locally or in cloud environments with notebooks like Jupyter or Zeppelin, making learning both flexible and contextual.
Features
- Tutorial notebook examples for PySpark development
- Interactive exploration of RDD and DataFrame APIs
- Hands-on code for cluster-scale data processing
- Educational focus on big data concepts
- Works within standard Jupyter ecosystems
- Active repository with community involvement
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/spark-python-notebooks.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
