datasets

Practical guide for web developers and sysadmins tackling large datasets with Bash, showing how core tools—sort (including --parallel and key/column options), uniq, grep, and awk—enable fast sorting, de-duplication, pattern filtering, and aggregation. Includes numeric/column sorts, frequency counts, regex search, column sums, plus scripts for log monitoring and ML data prep, building a lean foundation for AI-ready workflows.

Guide for full stack developers and sysadmins on using Bash to manage ML datasets, highlighting its ubiquity, speed, and tool integration. Covers automating downloads (wget/curl), cleaning and filtering (awk/sed/grep), transforming (jq/Python), splitting sets, and scheduling end-to-end workflows with cron, with examples and a master script to prototype efficient, low-resource ML pipelines.