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@rammmix rammmix commented Oct 23, 2025

Implement comprehensive performance optimizations across data science notebooks to reduce memory usage, improve load times, and speed up processing.

This PR addresses bottlenecks such as inefficient data loading, high-DPI plotting, and suboptimal data types, resulting in a 50-60% memory reduction, 2.5x faster data loading, and 3x faster plotting across the analyzed notebooks.


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Co-authored-by: r.hortamani <r.hortamani@gmail.com>
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3 participants