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Arik Chakma 274082fd77 feat: clean roadmap content and sync scripts (#10181) 
* refactor: clean to roadmap content

* refactor: move shared helpers into scripts/lib
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Customizing Plots

Matplotlib allows extensive customization: titles with set_title(), axis labels with set_xlabel() / set_ylabel(), tick formatting, color palettes, line styles, font sizes, legends, and annotations. Customizing plots ensures they communicate clearly and meet the standards required for reports and presentations.

Visit the following resources to learn more:

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