Reproducibility: The Hidden Virtue in Data Work

This entry is part 9 of 9 in the series January 2026 - Foundations

Reproducibility is rarely celebrated. It doesn’t make for impressive demos. It doesn’t generate excitement in meetings. It rarely appears in marketing copy. And yet, without it, much of modern data work quietly collapses under scrutiny. In an age driven by dashboards, models, and automated decisions, reproducibility is one of the most important — and most …
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Principles Before Tools: Why Foundations Matter

This entry is part 7 of 9 in the series January 2026 - Foundations

Technology changes quickly. Tools, frameworks, languages, and platforms rise, mature, and fade with remarkable speed. What felt essential five years ago may now feel obsolete. Anyone who has spent time in technical work knows the quiet anxiety this can produce: am I keeping up? Against this backdrop, it is tempting to anchor our professional identity …
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Clean Code Is Not Just Style — It’s Responsibility

This entry is part 5 of 9 in the series January 2026 - Foundations

Clean code is often treated as a matter of taste. Tabs or spaces.Snake case or camel case.Long functions or many small ones. These debates can give the impression that “clean code” is largely aesthetic — a preference shaped by personal background or team culture. But this framing misses something crucial. At its heart, clean code …
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What Are My Defaults as a Programmer?

This entry is part 3 of 9 in the series January 2026 - Foundations

Every programmer has defaults. Most of us just don’t notice them. Defaults are the decisions we make without consciously deciding. They are the habits that sit beneath our awareness: the libraries we reach for instinctively, the architectural patterns we reuse, the shortcuts we allow ourselves when time is tight. Defaults are shaped by experience, pressure, …
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