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Temporal Architecture: The Dates Module Hierarchy
AI015 Lesson 7
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The Dates module in Julia provides a robust, hierarchical framework for managing temporal data through three primary immutable types: Time (clock-based), Date (calendar-based), and DateTime (combined).

1. Namespace Management

Choosing how to load the module dictates your interaction syntax:

  • using Dates: Brings all exported functions into Main. You can call today() directly.
  • import Dates: Functions must be explicitly prefixed (e.g., Dates.now()). This is safer for large-scale engineering to avoid name collisions.
Dates ModuleDateDateTimeTimeYYYY-MM-DDISO-8601HH:MM:SS.ms

2. Accessors & Extraction

Beyond creation, Julia allows surgical metadata extraction using specialized functions like year(), minute(), or dayofweekofmonth() to identify specific patterns (e.g., the third Friday).

main.py
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