mahmoudparsian/data-algorithms-book resource

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1082 stars · 652 forks observed · 2026-08-28

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

The official source code repository for Mahmoud Parsian's O'Reilly books 'Data Algorithms' and related titles, containing MapReduce, Spark, Java, Scala, and PySpark examples for distributed algorithms. It serves as a companion codebase with runnable examples, build scripts, and bonus chapters.

Use cases

• learn mapreduce with hadoop and spark examples
• find pyspark distributed algorithm code samples
• study spark machine learning algorithm implementations
• get source code for the data algorithms book
• learn mapreduce design patterns in java and scala
• examples of submitting spark jobs from java

When to choose

• you are reading the Data Algorithms or PySpark Algorithms books and want the accompanying code
• you want worked examples of MapReduce and Spark distributed algorithms in Java, Scala, or Python
• you are learning big data processing with Hadoop and Spark through hands-on examples

When to avoid

• you need a production-ready distributed computing library rather than educational example code
• you want a maintained framework with API stability guarantees
• you need solutions for a specific Spark version other than the one the examples target

Facets

learning-resource · maturity active

machine-learning data-science etl developer-tools big-data data-science microservices tutorials jvm python cross-platform mapreduce apache-spark pyspark hadoop scala distributed-algorithms book-source-code design-patterns

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