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A programming language is a system of notation for writing computer programs. Programming languages are described in terms of their syntax (form) and semantics (meaning), usually defined by a formal language. Languages usually provide features such as a type system, variables, and mechanisms for error handling. An implementation of a programming language is required in order to execute programs, namely an interpreter or a compiler. An interpreter directly executes the source code, while a compiler produces an executable program.
Computer architecture has strongly influenced the design of programming languages, with the most common type (imperative languages—which implement operations in a specified order) developed to perform well on the popular von Neumann architecture. While early programming languages were closely tied to the hardware, over time they have developed more abstraction to hide implementation details for greater simplicity.
Thousands of programming languages—often classified as imperative, functional, logic, or object-oriented—have been developed for a wide variety of uses. Many aspects of programming language design involve tradeoffs—for example, exception handling simplifies error handling, but at a performance cost. Programming language theory is the subfield of computer science that studies the design, implementation, analysis, characterization, and classification of programming languages.
Programming: Programming languages
Variables and Data Types, Control Structures, Functions and Methods, Object-Oriented Programming (OOP), Functional Programming, Procedural Programming, Event-Driven Programming, Concurrent and Parallel Programming, Error Handling and Debugging, Memory Management, Recursion, Algorithms, Data Structures, Design Patterns, Software Development Life Cycle (SDLC), Version Control Systems, Database Programming, Web Development, Mobile App Development, Game Development, Machine Learning and AI Programming, Network Programming, API Development, Security in Programming, Testing and Quality Assurance, User Interface and User Experience Design, Scripting Languages, Assembly Language, High-Level Programming Languages, Low-Level Programming Languages, Compiler Design, Interpreter Design, Garbage Collection, Regular Expressions, Graphical User Interface (GUI) Programming, Command Line Interface Development, Cross-Platform Development, Cloud Computing in Programming, Blockchain Programming, IoT Programming, Embedded Systems Programming, Microservices Architecture, Serverless Architecture, Big Data Technologies, Data Visualization, Data Mining and Analysis, Natural Language Processing (NLP), Computer Graphics Programming, Virtual Reality (VR) Development, Augmented Reality (AR) Development, Cryptography in Programming, Distributed Systems, Real-Time Systems Programming, Operating System Development, Compiler and Interpreter Development, Quantum Computing, Software Project Management, Agile Methodologies, DevOps Practices, Continuous Integration and Continuous Deployment (CI/CD), Software Maintenance and Evolution, Software Licensing, Open Source Development, Accessibility in Software Development, Internationalization and Localization, Performance Optimization, Scalability Techniques, Code Refactoring, Design Principles, API Design, Data Modeling, Software Documentation, Peer-to-Peer Networking, Socket Programming, Front-End Development, Back-End Development, Full Stack Development, Secure Coding Practices, Code Reviews, Unit Testing, Integration Testing, System Testing, Functional Programming Paradigms, Imperative Programming, Declarative Programming, Software Architecture, Cloud-Native Development, Infrastructure as Code (IaC), Ethical Hacking for Developers, Artificial Intelligence Ethics in Programming, Software Compliance and Standards, Software Auditing, Debugging Tools and Techniques, Code Optimization Techniques, Software Deployment Strategies, End-User Computing, Computational Thinking, Programming Logic and Techniques, Advanced Data Management
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WHERE ARE MY DATABASES INFO? Popular and Most Popular: w3techs.com and BuiltWith.com (Web Technology Usage Trends - Web and Internet Technology Usage Statistics), The Chrome User Experience Report (also known as the Chrome UX Report, or CrUX for short), Popular Frameworks, Popular Web Frameworks, Popular Libraries (Popular JavaScript Libraries, Popular Python Libraries, Popular Java Libraries), Standard Libraries, Popular Software, DB-Engines.com (Most Popular Relational Databases DBMS, NoSQL Database Management Systems and Data Stores), Most Popular Websites. Most Popular Programming Languages are determined by StackOverflow Tags, StackOverflow Developer Survey, JetBrains State of Developer Ecosystem, RedMonk Programming Language Rankings, PYPL (PopularitY of Programming Language) Index, TIOBE Index, GitHub Octoverse, GitHub Star Ranking for Repositories, Most GitHub Stars, Most GitHub Forks, Rosetta Code: (1. Python, 2. JavaScript, 3. Java, 4. C#, 5. C++, 6. PHP, 7. TypeScript, 8. Ruby, 9. C, 10. Swift, 11. R, 12. Objective-C, 13. Scala, 14. Go, 15. Kotlin, 16. Rust, 17. Dart, 18. Lua, 19. Perl, 20. Haskell, 21. Julia, 22. Clojure, 23. Elixir, 24. F#, 25. Assembly, 26. Shell/bash, 27. SQL, 28. Groovy, 29. PowerShell, 30. MATLAB, 31. VBA, 32. Racket, 33. Scheme, 34. Prolog, 35. Erlang, 36. Ada, 37. Fortran, 38. COBOL, 39. VB.NET, 40. Lisp, 41. SAS, 42. D, 43. LabVIEW, 44. PL/SQL, 45. Delphi/Object Pascal, 46. ColdFusion, 47. CLIST, 48. REXX. Old Programming Languages: APL, Pascal, Algol, PL/I). (navbar_popular - see also navbar_famous)
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