The Data Wrangler’s Handbook

Most real-world data is messy. It arrives in odd formats, inconsistent spacing, duplicate records, and maddening commas in unexpected places. Kyle Banerjee’s The Data Wrangler’s Handbook approaches that problem with a practical, command-line-first mindset geared toward library and information professionals—but useful for anyone who works with irregular data.

Why a Command Line Toolkit Still Matters 💻

Instead of reaching for expensive software, this handbook shows how a handful of everyday command-line tools can locate, inspect, combine, and clean data quickly. The early chapters introduce the command line for readers who are completely new to it, then build toward more powerful concepts like redirecting output, piping commands, and using regular expressions.

Navigate Real-World Formats with Confidence

CSV files with hidden pitfalls, XML documents that seem impossible to query, JSON from modern APIs—each format gets a focused explanation. The book offers practical strategies for converting between formats and handling the quirks that regularly derail data projects.

Scripts and Shortcuts That Save Hours

The later chapters move beyond one-off commands into scripting, showing how variables, arguments, loops, and conditional execution turn small steps into repeatable workflows. The “One-Line Wonders” section is a genuine reference goldmine: dozens of ready-to-adapt commands for viewing files, sorting, deduplicating, transforming text, and working with delimited, JSON, and XML data.

A Practical Reference, Not Just Theory 📚

Cleaning library metadata, preparing data for a research project, or simply making sense of an inherited dataset—this handbook respects your time. It focuses on solving common problems and building transferable skills rather than covering every possible tool. The result is a book that works as both a learning path and a desk reference.