Editing Formal Languages (section)

== <span style="color: #FFFFFF;">Analyzing</span> ==
{| class="wikitable"
|+ Regular vs. Context-Free
! Feature !! Regular Language (Type 3) !! Context-Free Language (Type 2)
|-
| Rule Structure || Linear (A -> aB) || Recursive (A -> aAb)
|-
| Memory Needed || Zero || One Stack
|-
| Complexity || Simple (Search/Match) || High (Nesting/Parsing)
|-
| Example || Email Address Format || Python Source Code
|-
| Analogy || A 'String of Beads' || A 'Set of Russian Dolls'
|}

'''The Concept of "Turing-Completeness"''': Analyzing "Power." If a language is complex enough to "Simulate a Turing Machine" (Type 0), it is "Turing-Complete." Almost every programming language you use today is Type 0. This means you can "Write a Python interpreter in Python," which leads to the "Infinite Power" of modern computing.
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