# dynamic programming language

> programming language that supports manipulating program constructs at runtime

**Wikidata**: [Q1268980](https://www.wikidata.org/wiki/Q1268980)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Dynamic_programming_language)  
**Source**: https://4ort.xyz/entity/dynamic-programming-language

## Summary
A dynamic programming language is a type of programming language that allows manipulation of program constructs at runtime. This flexibility enables features like dynamic typing, runtime code modification, and reflective capabilities, making it distinct from statically typed languages. Dynamic languages are often used for scripting, rapid prototyping, and applications requiring runtime flexibility.

## Key Facts
- A subclass of programming language that supports runtime manipulation of program constructs
- Aliases include "dynamic language" and "lenguaje de programación dinámico"
- First mentioned in academic sources in 2013 (Freebase ID: /m/01j01f)
- Related to dynamic programming (a separate algorithmic paradigm)
- Manifestation of dynamic programming techniques
- Described by PCMag as a language supporting runtime manipulation
- Available in Wikipedia in multiple languages, including Arabic, German, and French
- Main category in Wikipedia: Category:Dynamic programming languages
- Notable examples include Emacs Lisp (1985), Pike (1994), and Dragon (2018)

## FAQs
### Q: What makes a programming language dynamic?
A: A dynamic programming language allows manipulation of program constructs at runtime, including dynamic typing, runtime code modification, and reflective capabilities.

### Q: Are dynamic languages easier to learn than static languages?
A: Dynamic languages often prioritize developer convenience and rapid prototyping, which can make them easier to learn for beginners, but they may lack the strict type safety of static languages.

### Q: Can dynamic languages be used for large-scale applications?
A: Yes, dynamic languages like Python and Ruby are widely used for large-scale applications, though performance considerations may vary compared to statically compiled languages.

### Q: What are some popular dynamic programming languages?
A: Popular examples include Python, JavaScript, Ruby, and PHP, though the term "dynamic programming language" is less commonly used than "dynamic language."

### Q: How does dynamic typing differ from static typing?
A: Dynamic typing means variable types are checked at runtime, while static typing occurs at compile time, leading to different trade-offs in flexibility and performance.

## Why It Matters
Dynamic programming languages play a crucial role in modern software development by enabling rapid iteration, scripting, and runtime flexibility. They are particularly valuable for tasks requiring quick development cycles, such as web applications, data analysis, and automation. The ability to manipulate program constructs at runtime allows developers to write more concise and adaptable code, though this flexibility may come with trade-offs in performance and maintainability. Dynamic languages have influenced the design of many mainstream programming languages and remain foundational in fields like artificial intelligence and scientific computing.

## Notable For
- Supporting runtime manipulation of program constructs, a key feature distinguishing it from static languages
- Being a subclass of programming language with a dedicated Wikipedia category
- Including notable examples like Emacs Lisp and Dragon, showcasing its practical applications
- Being described by PCMag as a language enabling runtime flexibility
- Having a presence in multiple Wikipedia languages, indicating its global relevance

## Body
### Definition and Characteristics
A dynamic programming language is a programming language that supports manipulating program constructs at runtime. This includes features like dynamic typing, runtime code modification, and reflective capabilities. Unlike static languages, dynamic languages prioritize flexibility and developer convenience over strict type safety and compile-time checks.

### Historical Context
The concept of dynamic programming languages was first documented in academic sources in 2013. The term is distinct from "dynamic programming," an algorithmic paradigm used in computer science. Dynamic languages have evolved alongside the broader programming language landscape, with notable examples emerging in the late 20th and early 21st centuries.

### Examples and Usage
Dynamic programming languages are used in various domains, including scripting, web development, and data analysis. Examples include Emacs Lisp (1985), Pike (1994), and Dragon (2018). These languages often prioritize ease of use and rapid development, though they may not be ideal for performance-critical applications.

### Wikipedia and Documentation
The term "dynamic programming language" has a dedicated Wikipedia page available in multiple languages. It is categorized under "Dynamic programming languages" and includes references to PCMag and other sources. The Wikipedia page reflects its relevance in both academic and practical contexts.

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Thing",
  "name": "Dynamic programming language",
  "description": "A programming language that supports manipulating program constructs at runtime.",
  "sameAs": [
    "https://www.wikidata.org/wiki/Q15241312",
    "https://en.wikipedia.org/wiki/Dynamic_programming_language"
  ],
  "additionalType": "ProgrammingLanguage"
}

## References

1. Freebase Data Dumps. 2013