This course contains the use of artificial intelligence. Wrangling JSON from APIs, logs, and config files can be slow and error-prone without the right tools. jq is powerful, but its syntax can feel cryptic when deadlines are tight. JQ Essentials: Practical Guide cuts through the noise so you can query, transform, and validate JSON confidently from the command line.
**Learn jq by building real queries you can paste into your terminal today.**
Across 26 concise lectures, you’ll practice with bite-size datasets and challenges to master:
- Filter composition (|) to build readable pipelines
- Field access and slicing for nested data
- Boolean operators and comparisons for precise logic
- Array iteration to handle lists cleanly
- select() and map() to filter and transform collections
- sort_by() and group_by() for ordering and aggregation
- Object construction to reshape records
- Error handling with try-catch for robust scripts
- Update operators (|=) to modify values in place
- keys(), del(), and targeted edits
- to_entries/from_entries to pivot between objects and arrays
- Workflow habits: composing pipelines, testing, and refactoring
By the end, you’ll turn messy JSON into clean reports, extract exactly what you need, and automate everyday data tasks in shell scripts and CI pipelines. Leave with a toolbox of copy-paste ready patterns and the confidence to use jq on real work tomorrow.
