# Text, JSON

This chapter will focus on working with text and structured textual
data (JSON and related formats, such as YAML and TOML). We will look
at both writing parsers ‘from scratch’ (using both regular
expressions and recursive descent), but also using parsing libraries
(the ‹json› and ‹csv› modules) and working with binary data.

Demonstrations:

 1. (to be done)

Practice exercises:

 1. ‹grep›     – match regular expressions against text files
 2. ‹magic›    – identify file type by content
 3. ‹report›   – parse JSON and print human-readable output
 4. ‹elements› – convert CSV to JSON
 5. ‹mueval›   – evaluate LISPy (prefix) expressions
 6. ‹flatten›  – convert JSON to TOML(-ish)

Regular exercises:

 1. ‹email›    – parsing e-mails the simple way
 2. ‹toml›     – recursive descent and INI files
 3. ‹resolv›   – parse a simplified ‹resolv.conf›
 4. ‹fstab›    – read and parse ‹/etc/fstab›
 5. ‹yaml›     – convert JSON to (readable) YAML
 6. ‹cpp›      – a simplified C preprocessor

Voluntary exercises:

 1. (nothing here yet)