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jadianes/spark-py-notebooks resource

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks observed · 2026-08-28

github.com/jadianes/spark-py-notebooks · homepage · Jupyter Notebook · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4137
  • days_rel: n/a
  • days_push: 900
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1659 stars · 904 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Jupyter/IPython notebooks teaching Apache Spark with Python (pySpark), from RDD basics to MLlib machine learning. It uses the KDD Cup 1999 dataset and is meant to be run in pySpark mode with a local Spark installation.

Use cases

  • learn pyspark from scratch
  • understand RDD transformations like map and filter
  • tutorials for machine learning with Spark MLlib
  • big data analysis examples in Python
  • hands-on Spark notebooks to follow along
  • introduction to Spark for data science

When to choose

  • you want a free, notebook-based introduction to Spark with Python
  • you learn best by running code step by step
  • you need beginner-to-intermediate coverage of RDDs and MLlib

When to avoid

  • you need up-to-date Spark APIs like DataFrame-first Spark 3.x patterns
  • you want production-ready code rather than tutorials
  • you prefer Scala or R for Spark

Facets

learning-resource · maturity maintenance

data-science machine-learning etl big-data data-science machine-learning tutorials python cross-platform spark pyspark jupyter-notebooks mllib rdd big-data educational

2 sources

Member repositories

RepositoryRoleHealth v2
jadianes/spark-py-notebooksmain32

For agents

markdown · JSON · MCP: product_card(name="jadianes/spark-py-notebooks")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem