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— Under the Hood: Primitive Collections & Object Pooling
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Classroom Contents
Java DataFrames - The Missing Tool in Your Data-Oriented Toolkit
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- 1 — Meet Vladimir Zakharov Java Expert & JSR 335 Group
- 2 — What is Data-Oriented Programming DOP?
- 3 — The Cost of Records and Streams in Java
- 4 — Why Use DataFrames in a Java Ecosystem?
- 5 — The One Billion Row Challenge: Results & Analysis
- 6 — Code Comparison: Pandas vs. DataFrame-EC vs. Tablesaw
- 7 — Kotlin DataFrames: Pros and Cons
- 8 — Under the Hood: Primitive Collections & Object Pooling
- 9 — Advanced Use Cases: Joins, Pivots, and External DSLs
- 10 — Final Takeaways: When to Choose DataFrames over Databases