DevData Hub is where web development meets data science — a growing, interconnected library of practical knowledge for people who build with code and data.
The best technical knowledge is scattered across docs, threads, half-abandoned blogs and paywalled courses. DevData Hub pulls the practical parts together into one place, written to be genuinely useful — code-first, opinionated where it helps, and honest about trade-offs.
Two worlds that increasingly overlap: web development (modern frameworks, performance, architecture) and data science & ML (analysis, modelling, evaluation, data engineering). We treat them as one connected graph, because the developers and data people who can move between them are the ones building the interesting things.
Every article aims to leave you able to do something, not just nod along. Real code, real datasets, real caveats. We'd rather publish one guide you actually finish and use than ten you skim and forget.
Under the hood we model topics, tools, libraries and concepts as a graph of related nodes — which is why articles link the way they do, and why one thing you read leads naturally to the next. Learning is a network, so we built the site like one.
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