There are so many programming languages now a days which are used in web development , application development and in Artificial intelligence and machine learning. from object oriented to scripting languages in computer science and it is keep evolving. As we know programming languages are nothing but set of rules and regulation and has some specific syntax which bridge gap between humans and computers.
Let’s look @list of programming languages :
- CSS stands for cascading styling sheet. It’s used to style and decorate web page. Because of CSS aesthetics of web page is improved. web Developers spends much more time to improve aesthetics of website.
- HTML stands for “Hyper Text Markup Language” and Developers utilize it for coding web pages. It marks elements of a document, like headings and paragraphs, and tells a computer how they should be displayed. Now a days , school going children’s are learning and building websites.
- Developers have used Java, an object oriented language and it has been used since the beginning of the World Wide Web to improve websites and add interactive capabilities like buttons and app widgets. It is also commonly used for programming cell phones.
- C , a fundamental programming language among C++ and Java , developers extensively use in game development .
- Python , the most popular scripting language today, powers backend development through frameworks like Django.
- let’s look @different categories of programming language which we do not use extensively as other few programming languages.
- Procedural languages
- Procedural languages are based on the data viewing range of a code statement. Examples include Ada, BASIC, C/C++ and JavaScript.
- Functional languages
- Functional languages use stored data to perform recursive functions, which execute a process and then repeat it to solve any errors that arise during programming. Examples include Agda, Cuneiform, PureScript and APL.
- Machine languages
- Machine languages are made up of binary code, which is a series 0s and 1s that symbolize text or instructions for a computer program.
- Assembly languages
- Assembly languages work in a similar way to machine languages by using short mnemonic codes to give the computer instructions. Examples include Lotus 1-2-3 and Turbo Pascal
- Logic programming languages
- Logic programming languages add restrictions to statements made by developers that cause the computer to consider the possible outcomes of different actions. Examples include Prolog, ASP and Datalog.
- Data-oriented languages
- Developers use Data-oriented languages to search and edit entity-relationship tables. Examples include Clarion, Gremlin, WebDNA and Wolfram Language.
- Business-oriented languages
- developers in large organizations use business-oriented languages to work with large quantities of data across a variety of different systems. Examples include SQL and COBOL
- Education-oriented languages
- Education-oriented languages can help to teach computer programming and coding to developers who are just beginning their journey and who are unfamiliar with the processes. Examples include BASIC, Logo and HyperTalk.
- Object-oriented languages
- Object-oriented language identifies everything it encounters as objects that have internal and external data and then it performs based on moving these “objects” to where they need to be. Examples include Java, Visual Basic .NET, Ruby and Python. Developers start their journey in software development by learning these languages.
- Scripting languages
- Developers use Scripting languages solve smaller programming issues and can be used to write operating system utilities. Examples include Perl, PHP, JavaScript and Python. Developers prefer scripting language like python or R in machine learning or backend development since it’s easy to understand and write.
- Declarative languages
- Declarative languages tell a computer what needs to be done without including instructions for how to complete the task. This type of language can be classified as a logic programming or functional language, as they all help a computer to solve problems in programming. Examples include Prolog, Lisp, ML and Haskell.
- Document formatting languages
- Developers use Document formatting languages organize printed text and graphics, and some function similarly to a word processor. Examples include TeX, PostScript and SGML.
- World Wide Web display languages
- World Wide Web display languages are used to design web pages and provide them with the desired functions, such as page retrieval through links. Examples include HTML, XML and CGI
- Front end coding languages
- Web developers use Front end development languages to code the visual aspects of websites, games, software and apps. Examples include HTML, CSS and JavaScript. Now a days there are so many low code no code platforms . Anyone who want to build website they can use these platforms to build website. While developers use these languages for front end development , there are other tools like figma , adobe to visualize front end of application which can be done through wireframing.
- Database programming languages
- while creating database , developers use Database programming languages help to create databases and manipulate the way data is stored inside them. Examples include C++, COBOL, Java and Perl.
- Rule-based languages
- Rule-based languages implement rules once they are activated by certain conditions in a data set. Examples include AWK, CLIPS, Prolog and Wolfram Language
- Compiled languages
- Compiled languages have been translated by computer programs from one programming language to another and convert information directly to code, which streamlines the programming process. Examples include ActionScript, Ballerina, C++ and ALGOL
- Back end coding languages
- Back end coding languages code program servers so that web pages appear and function correctly. Examples include Python, Java and Ruby. Backend developers plays crucial role in software development. however there is requirement of high analytical skills , attention to details, problem solving skill developers need to have.
- System languages
- System languages can complete tasks like memory management or task management when programming an entire system. Examples include Swift, Rust, C++ and Nim . Developers or programmers who are working with these languages should have strong understanding of computer architecture, operating systems and low level programming concepts and they should be familiar with memory management , concurrency and other system level concepts.
- Algorithmic languages
- Algorithmic languages convey mathematical or symbolic computations and can use algebraic operations to convey information. Examples include Fortran, ALGOL, Lisp and C.
- Command-line interface languages
- Command-line interface languages use lines of text to send commands to computer programs. Examples include Batch, CLIST, TACL and 4DOS. In windows : windows PowerShell , command prompt
- Computational languages
- Computational languages declaratively communicate the logic and functions of a computer command. Examples include Wolfram Language, Gremlin, QML and Mercury.
- Visual languages
- Visual languages specify programs in two-dimensional ways through different types of graphic layouts. Examples include Grasshopper, GameMaker Language, XOD and ToonTalk.
- XML-based languages
- XML, or Extensible Markup Language, encodes documents in a way that can be read and understood by both people and computers and exists across the internet. Examples include Apache Ant, MXML, ECMAScript for XML and XQuery.
- Syntax handling languages
- Syntax handling languages generate analyzers that convert character sequences to token sequences that have specified meanings for context-free grammar. Examples include ANTLR, lex, Prolog and JavaCC.
- Interpreted languages
- Interpreted languages enable programs to be executed from source code with the help of an interpreter, rather than being compiled. Examples include Apache Ant, JavaScript, PostScript and Windows PowerShell. generally , developers use these languages for rapid development , prototyping.
- Little languages
- Little languages help to manage a specialized problem domain, such as text formatting, combinations and resource allocation. Examples include AWK, Comet, sed and SQL.
- Metaprogramming languages
- Metaprogramming languages write programs that write and edit other programs. Examples include C++, META II, Python and TREEMETA. Developers working with metaprogramming need to possess a strong foundation in programming languages and concepts.
- Esoteric languages
- Esoteric languages test unorthodox methods of programming language design, such as using a fictional language as a basis for a program. Examples include Beatnik, INTERCAL, Piet and Whitespace
- Non-English-based languages
- Non-English-based programming languages take keywords from languages other than English to create commands. Examples include Chinese BASIC, Lexico, Rapira and ezhil.
- Curly-bracket languages
- Curly-bracket languages use curly brackets or brace characters to define statement blocks. Examples include AWK, Ballerina, C++ and ECMAScript
- Off-side rule languages
- Off-side rule languages designate blocks of code based on their indentation. Examples include ISWIM, ABC, Python and Elixir.
- Iterative languages
- Iterative languages are built around generators that solve smaller instances of a certain problem to inform how they can solve the original problem and generate a certain outcome. Examples include Aldor, Eiffel, Julia and Python.
- Constraint programming languages
- Constraint programming languages fall under declarative programming language and express relationships between their variables as constraints. Examples include MiniZinc, Oz and Kaleidoscope.
- Numerical analysis languages
- Numerical analysis languages are mainly used for technical computing. Examples include Wolfram Language, Analytica, Fortran and MATLAB.
- Multiparadigm languages
- Multiparadigm languages allow a program to use multiple programming styles to work at once in a single program and combine constructs from different programming languages. Examples include ALF, C++, ECMAScript and Python.
- Embeddable languages
- Embeddable languages are used in source code, for servers and by clients to embed code into free-form text. Developers working with embeddable languages should have knowledge in php , java script, vb script.
- Imperative languages
- Imperative languages convey information to computers through serial orders and large amounts of detail. They might also fall under other classifications as multiparadigm programming languages. Examples include MATLAB, ECMAScript, Perl and Python.
- Dataflow languages
- Dataflow languages use a representation of the exchange of data to specify programs and process streams of data. Examples include Analytica, Lucid, Oz and Ballerina.
- Authoring languages
- Authoring languages help to create interactive computer programs, such as tutorials or websites. Examples include Lasso, PILOT, TUTOR and Authorware.
- Concurrent languages
- Concurrent languages pass messages and offer language constructs for executing multiple processes at the same time. Examples include Ada, ChucK, Java and Oz.
- Array languages
- Array languages use scalars to apply operations to vectors, matrices and other high-dimensional arrays. Examples include Analytica, BASIC, MATLAB and Fortran 90.
- Extension languages
- Extension languages are embedded into other programs to use their features in extension scripts. Examples include JavaScipt, Perl, Squirrel and CAL.
- Hardware description languages
- Hardware description languages detail the design, structure and operation of electronic and digital logic circuits. Examples include Verilog, VHDL, Java and Ruby.
- Macro languages
- Macro languages can be for application or textual substitution to change one source code file into another, often in order to preprocess source code. Examples include C++, m4 and ML/I.
- Shading languages
- Shading languages use real-time rendering and offline rendering to create images, such as 3D computer graphics. Examples include AGAL, PSSL and RenderMan Shading Language. Developers should posses knowledge of computer graphics , mathematics , programming, rendering framework.
- Reflective languages
- Reflective languages empower programs to inspect and modify their high-level structure. Examples include Cobra, ECMAScript, Prolog and Ruby.
- Fourth-generation languages
- Fourth-generation languages are high-level languages built around database systems and are often used for managing databases and generating reports. Examples include ABAP, FOCUS, Open Edge ABL and Data Flex.
- Decision table languages
- Decision table languages provide clarity to program logic before programmers translate it into programming language. Examples include Filetab and FORTAB.