computer science

Outline of computer programming

Outline of computer programming is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Outline of computer programming rather than just read about it. In short: The following outline is provided as an overview of and topical guide to computer programming: Computer programming – process that leads from an original formulation of a computing problem to executable computer programs. Programming involves activities such as analysis, developing understanding, generating algorithms, verification of requirements of algorithms including their correctness and resources consumption…

Key takeaways

Outline of computer programming belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Outline of computer programming to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Outline of computer programming from memory before moving on to harder problems.

Reference excerpt

The following outline is provided as an overview of and topical guide to computer programming: Computer programming – process that leads from an original formulation of a computing problem to executable computer programs. Programming involves activities such as analysis, developing understanding, generating algorithms, verification of requirements of algorithms including their correctness and resources consumption, and implementation (commonly referred to as coding) of algorithms in a target programming language. Source code is written in one or more programming languages. The purpose of programming is to find a sequence of instructions that will automate performing a given task or solving a given problem.

History History of computer science History of computing hardware History of computing hardware (1960s–present) History of programming languages Timeline of programming languages Computer programming in the punched card era Timeline of operating systems

Platforms

Computer Computer hardware Analog computer Analytical Engine Digital computer Vacuum-tube computer List of vacuum-tube computers Transistor computer List of transistorized computers Mainframe Minicomputer Microcomputer Home computers IBM PC compatible Personal computer Desktop computer Laptop computer Mobile computer Personal digital assistant (PDA) Smartphone Tablet computer Wearable computer Server Supercomputer Virtual machine Hardware virtualization Runtime system

Paradigms

Agent-oriented Aspect-oriented Automata-based Class-based Concatenative Concept Concurrent Data-driven Declarative (in contrast to imperative programming) Constraint Constraint logic Concurrent constraint logic Dataflow Flow-based (FBP) Reactive Functional Functional logic Purely functional Logic Abductive logic Answer set Concurrent logic Functional logic Inductive logic Probabilistic logic Event-driven Time-driven Expression-oriented Feature-oriented Function-level (in contrast to value-level programming) Generic Imperative (in contrast to declarative programming) Literate Procedural Inductive programming Language-oriented (LOP) Natural language programming Non-structured (in contrast to Structured) Array Nondeterministic Probabilistic Process-oriented Role-oriented Semantic-oriented (SOP) Structured (in contrast to non-structured programming) Block-structured Modular Concurrent computing Relativistic programming Object-oriented (OOP) Class-based Concurrent OOP Prototype-based Subject-oriented Tacit Value-level (in contrast to function-level programming) Visual

Writing programs Pseudocode

Methodology

Array programming End-user development Metaprogramming Automatic programming Reflection Attribute-oriented programming (AOP) Homoiconicity Template metaprogramming Policy-based design Service-oriented architecture Service-oriented modeling Recursion Separation of concerns Threaded coding

Algorithms

List of algorithms List of algorithm general topics Algorithm characterizations Introduction to Algorithms Theory of computation Computational complexity theory Analysis of algorithms Empirical algorithmics Big O notation Algorithmic efficiency Algorithmic information theory Algorithmic probability Algorithmically random sequence Search algorithm Sorting algorithm Merge algorithm String algorithms Greedy algorithm Reduction Sequential algorithm Parallel algorithm Distributed algorithm Deterministic algorithm Randomized algorithm Quantum algorithm

Programming languages Programming language – formal constructed language designed to communicate instructions to a machine, particularly a computer. Programming languages can be used to create programs to control the behavior of a machine or to express algorithms.

Generational list of programming languages List of programming languages by type List of open-source programming languages Alphabetical list of programming languages Compiled language Interpreted language Scripting language Comparison of programming languages Programming language dialect Programming language theory Formal semantics of programming languages Assembly language Macro

Attributes of programming languages Domain-specific language Dynamic programming language Esoteric programming language Extensible programming language High-level programming language Interpreted language Low-level programming language Machine programming language Multi-paradigm programming language Non-English-based programming language Object-based language Off-side rule programming language Reflective programming language Synchronous programming language Very high-level programming language

Popular languages The top 20 most popular programming languages as of December 2025:

Python C C++ Java C# JavaScript Visual Basic (.NET) SQL Perl R Delphi Object Pascal Fortran MATLAB Ada Go PHP Rust Scratch Assembly language Kotlin

Anatomy of a programming language Syntax Lexical grammar Semicolons Values Types Operators Program structures Variables Expressions Statements Keywords and reserved words Control structures Subroutines (also known as functions) Anonymous functions Loops For loops While loops Conditionals If-then If-then-else Case and switch statements Control flow Data structures Objects Arrays Regular expressions

Comparisons of programming languages Programming language comparisons

General comparison Basic syntax Basic instructions Exception handling Enumerated types Anonymous functions Conditional expressions Functional instructions Arrays Associative arrays String operations String functions List comprehension Object-oriented programming Object-oriented constructors While loops For loops Evaluation strategy List of "Hello World" programs Languages with dependent types Comparison of type systems

Comparisons of individual languages ALGOL 58's influence on ALGOL 60 ALGOL 60: Comparisons with other languages ALGOL 68: Comparisons with other languages Compatibility of C and C++ Comparison of Pascal and Borland Delphi Comparison of Object Pascal and C Comparison of Pascal and C Comparison of Java and C++ Comparison of C# and Java Comparison of C# and Visual Basic .NET Comparison of Visual Basic and Visual Basic .NET

Compilation

Programmer Source code Parsing Compilation Preprocessing Translation Assembly Linking Compiler optimization Compilation error

Software

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Outline of computer programming

Start with the simplest possible case. Write down what Outline of computer programming claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Outline of computer programming before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Outline of computer programming ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Outline of computer programming

In research: Outline of computer programming appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Outline of computer programming in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Outline of computer programming is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computer programming, Computing-related lists, Outlines, so understanding it makes those chapters shorter.
In everyday life: Look for Outline of computer programming outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Outline of computer programming in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Outline of computer programming means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Outline of computer programming out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Outline of computer programming in simple terms?

Why does Outline of computer programming matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Outline of computer programming?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Outline of computer programming.