Beginner Topic 3 of 50 Languages & Compilers
Programming Paradigms
Styles such as imperative, declarative and functional.
How it works
A programming paradigm is a style or model for structuring programs. Imperative programming describes step-by-step state changes, with procedural and structured variants; object-oriented programming organizes code into objects with state and behavior; functional programming composes pure functions over immutable data; declarative and logic programming state what is wanted rather than how, as in SQL and Prolog; concurrent and reactive paradigms model parallel and event-driven flows. Most modern languages support several paradigms.
Step-by-step walkthrough
- Imperative code lists commands that change state.
- Object-oriented code organizes state and behavior into objects.
- Functional code composes pure functions.
- Declarative code states what is wanted, as in SQL.
- Many languages support several paradigms.
Where it is used
Choosing a paradigm shapes design in web back ends, data pipelines, user interfaces and systems code. Understanding multiple paradigms lets developers pick the most natural one for each problem.
Common pitfall
Dogmatic adherence to one paradigm produces awkward code, such as forcing everything into classes. Paradigms are not mutually exclusive. Mixing styles carelessly causes inconsistency. Learn the strengths and trade-offs of each, and use the idioms that fit the language and the problem.
Where it fits in the course
Programming Paradigms is topic 3 of 50 in Languages & Compilers, rated Beginner. It follows Syntax and Semantics. The next topic is Static vs Dynamic Typing.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Languages & Compilers quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Languages & Compilers quiz, and revisit the topic if you miss a question.
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Related topics
- Syntax and Semantics (Languages & Compilers)
- Static vs Dynamic Typing (Languages & Compilers)
- Compiled vs Interpreted Languages (Languages & Compilers)
- Strong vs Weak Typing (Languages & Compilers)
- Dynamic Programming (Algorithms)
- CUDA Programming (Concurrency & Parallelism)
- Linear Programming (Math for Computing)