Data Science
Building a Cost-Effective Data Science Workstation
A data science workstation build ordered by what actually stalls — memory sizing against dataset size, when the GPU matters, storage layout and three configurations.
Languages, data workflows, analytics and reproducible technical practice.
A data science workstation build ordered by what actually stalls — memory sizing against dataset size, when the GPU matters, storage layout and three configurations.
Choosing open-source AI models for data science starts with the licence — open source versus open weights, the six questions to ask, and sizing to your memory.
An AI data quality checklist of six checks — coverage, labels, duplicates, leakage, freshness, provenance. Why leakage flatters and labels cap you.
Python 3.14.6 brings maintenance fixes to a release series with free-threading support, deferred annotations, t-strings and new tooling.