Macro (computer science)
A macro in computer science is a rule or pattern that specifies how a certain input sequence should be mapped to a replacement output sequence according to a defined procedure. The mapping process that instantiates a macro use into a specific sequence is known as macro expansion. A facility for writing macros may be provided as part of a software application or as a part of a programming language. In the former case, macros are used to make tasks using the application less repetitive. In the latter case, they are a tool that allows a programmer to enable code reuse or to design domain-specific languages. Macros are used to make a sequence of computing instructions available to the programmer as a single program statement, making the programming task less tedious and less error-prone. Macros allow positional or keyword parameters that dictate what the conditional assembler program generates and have been used to create entire programs or program suites according to such variables as operating system, platform or other factors.
The term derives from "macro instruction", such expansions were used in generating assembly language code. Keyboard macros and mouse macros allow short sequences of keystrokes and mouse actions to transform into other more time-consuming, sequences of keystrokes and mouse actions. In this way used or repetitive sequences of keystrokes and mouse movements can be automated. Separate programs for creating these macros are called macro recorders. During the 1980s, macro programs – SmartKey SuperKey, KeyWorks, Prokey – were popular, first as a means to automatically format screenplays for a variety of user input tasks; these programs were based on the TSR mode of operation and applied to all keyboard input, no matter in which context it occurred. They have to some extent fallen into obsolescence following the advent of mouse-driven user interface and the availability of keyboard and mouse macros in applications such as word processors and spreadsheets, making it possible to create application-sensitive keyboard macros.
Keyboard macros have in more recent times come to life as a method of exploiting the economy of massively multiplayer online role-playing games. By tirelessly performing a boring, but low risk action, a player running a macro can earn a large amount of the game's currency or resources; this effect is larger when a macro-using player operates multiple accounts or operates the accounts for a large amount of time each day. As this money is generated without human intervention, it can upset the economy of the game. For this reason, use of macros is a violation of the TOS or EULA of most MMORPGs, administrators of MMORPGs fight a continual war to identify and punish macro users. Keyboard and mouse macros that are created using an application's built-in macro features are sometimes called application macros, they are created by letting the application record the actions. An underlying macro programming language, most a scripting language, with direct access to the features of the application may exist.
The programmers' text editor, follows this idea to a conclusion. In effect, most of the editor is made of macros. Emacs was devised as a set of macros in the editing language TECO. Another programmers' text editor, Vim has full implementation of macros, it can record into a register what a person types on the keyboard and it can be replayed or edited just like VBA macros for Microsoft Office. Vim has a scripting language called Vimscript to create macros. Visual Basic for Applications is a programming language included in Microsoft Office from Office 97 through Office 2019. However, its function has evolved from and replaced the macro languages that were included in some of these applications. VBA executes when documents are opened; this makes it easy to write computer viruses in VBA known as macro viruses. In the mid-to-late 1990s, this became one of the most common types of computer virus. However, during the late 1990s and to date, Microsoft has been updating their programs. In addition, current anti-virus programs counteract such attacks.
A parameterized macro is a macro, able to insert given objects into its expansion. This gives the macro some of the power of a function; as a simple example, in the C programming language, this is a typical macro, not a parameterized macro: #define PI 3.14159 This causes the string "PI" to be replaced with "3.14159" wherever it occurs. It will always be replaced by this string, the resulting string cannot be modified in any way. An example of a parameterized macro, on the other hand, is this: #define pred What this macro expands to depends on what argument x is passed to it. Here are some possible expansions: pred → pred → pred → Parameterized macros are a useful source-level mechanism for performing in-line expansion, but in languages such as C where they use simple textual substitution, they have a number of severe disadvantages over other mechanisms for performing in-line expansion, such as inline functions; the parameterized macros used in languages such
A computer program is a collection of instructions that performs a specific task when executed by a computer. A computer requires programs to function. A computer program is written by a computer programmer in a programming language. From the program in its human-readable form of source code, a compiler can derive machine code—a form consisting of instructions that the computer can directly execute. Alternatively, a computer program may be executed with the aid of an interpreter. A collection of computer programs and related data are referred to as software. Computer programs may be categorized along functional lines, such as application software and system software; the underlying method used for some calculation or manipulation is known as an algorithm. The earliest programmable machines preceded the invention of the digital computer. In 1801, Joseph-Marie Jacquard devised a loom that would weave a pattern by following a series of perforated cards. Patterns could be repeated by arranging the cards.
In 1837, Charles Babbage was inspired by Jacquard's loom to attempt to build the Analytical Engine. The names of the components of the calculating device were borrowed from the textile industry. In the textile industry, yarn was brought from the store to be milled; the device would have had a "store"—memory to hold 1,000 numbers of 40 decimal digits each. Numbers from the "store" would have been transferred to the "mill", for processing, and a "thread" being the execution of programmed instructions by the device. It was programmed using two sets of perforated cards—one to direct the operation and the other for the input variables. However, after more than 17,000 pounds of the British government's money, the thousands of cogged wheels and gears never worked together. During a nine-month period in 1842–43, Ada Lovelace translated the memoir of Italian mathematician Luigi Menabrea; the memoir covered the Analytical Engine. The translation contained Note G which detailed a method for calculating Bernoulli numbers using the Analytical Engine.
This note is recognized by some historians as the world's first written computer program. In 1936, Alan Turing introduced the Universal Turing machine—a theoretical device that can model every computation that can be performed on a Turing complete computing machine, it is a finite-state machine. The machine can move the tape forth, changing its contents as it performs an algorithm; the machine starts in the initial state, goes through a sequence of steps, halts when it encounters the halt state. This machine is considered by some to be the origin of the stored-program computer—used by John von Neumann for the "Electronic Computing Instrument" that now bears the von Neumann architecture name; the Z3 computer, invented by Konrad Zuse in Germany, was a programmable computer. A digital computer uses electricity as the calculating component; the Z3 contained 2,400 relays to create the circuits. The circuits provided a floating-point, nine-instruction computer. Programming the Z3 was through a specially designed keyboard and punched tape.
The Electronic Numerical Integrator And Computer was a Turing complete, general-purpose computer that used 17,468 vacuum tubes to create the circuits. At its core, it was a series of Pascalines wired together, its 40 units weighed 30 tons, occupied 1,800 square feet, consumed $650 per hour in electricity when idle. It had 20 base-10 accumulators. Programming the ENIAC took up to two months. Three function tables needed to be rolled to fixed function panels. Function tables were connected to function panels using heavy black cables; each function table had 728 rotating knobs. Programming the ENIAC involved setting some of the 3,000 switches. Debugging a program took a week; the programmers of the ENIAC were women who were known collectively as the "ENIAC girls." The ENIAC featured parallel operations. Different sets of accumulators could work on different algorithms, it used punched card machines for input and output, it was controlled with a clock signal. It ran for eight years, calculating hydrogen bomb parameters, predicting weather patterns, producing firing tables to aim artillery guns.
The Manchester Baby was a stored-program computer. Programming transitioned away from setting dials. Only three bits of memory were available to store each instruction, so it was limited to eight instructions. 32 switches were available for programming. Computers manufactured; the computer program was written on paper for reference. An instruction was represented by a configuration of on/off settings. After setting the configuration, an execute button was pressed; this process was repeated. Computer programs were manually input via paper tape or punched cards. After the medium was loaded, the starting address was set via switches and the execute button pressed. In 1961, the Burroughs B5000 was built to be programmed in the ALGOL 60 language; the hardware featured circuits to ease the compile phase. In 1964, the IBM System/360 was a line of six computers each having the same instruction set architecture; the Model 30 was the least expensive. Customers could retain the same application software; each System/360 model featured multiprogramming.
With operating system support, multiple programs could be in memory at once. When one was waiting for input/output, another could compute; each model could emulate other computers. Customers could upgrade to the System/360 and ret
X Window System
The X Window System is a windowing system for bitmap displays, common on Unix-like operating systems. X provides the basic framework for a GUI environment: drawing and moving windows on the display device and interacting with a mouse and keyboard. X does not mandate the user interface – this is handled by individual programs; as such, the visual styling of X-based environments varies greatly. X originated at the Massachusetts Institute of Technology in 1984; the X protocol has been version 11 since September 1987. The X. Org Foundation leads the X project, with the current reference implementation, X. Org Server, available as free and open source software under the MIT License and similar permissive licenses. X is an architecture-independent system for remote graphical user interfaces and input device capabilities; each person using a networked terminal has the ability to interact with the display with any type of user input device. In its standard distribution it is a complete, albeit simple and interface solution which delivers a standard toolkit and protocol stack for building graphical user interfaces on most Unix-like operating systems and OpenVMS, has been ported to many other contemporary general purpose operating systems.
X provides the basic framework, or primitives, for building such GUI environments: drawing and moving windows on the display and interacting with a mouse, keyboard or touchscreen. X does not mandate the user interface. Programs may use X's graphical abilities with no user interface; as such, the visual styling of X-based environments varies greatly. Unlike most earlier display protocols, X was designed to be used over network connections rather than on an integral or attached display device. X features network transparency, which means an X program running on a computer somewhere on a network can display its user interface on an X server running on some other computer on the network; the X server is the provider of graphics resources and keyboard/mouse events to X clients, meaning that the X server is running on the computer in front of a human user, while the X client applications run anywhere on the network and communicate with the user's computer to request the rendering of graphics content and receive events from input devices including keyboards and mice.
The fact that the term "server" is applied to the software in front of the user is surprising to users accustomed to their programs being clients to services on remote computers. Here, rather than a remote database being the resource for a local app, the user's graphic display and input devices become resources made available by the local X server to both local and remotely hosted X client programs who need to share the user's graphics and input devices to communicate with the user. X's network protocol is based on X command primitives; this approach allows both 2D and 3D operations by an X client application which might be running on a different computer to still be accelerated on the X server's display. For example, in classic OpenGL, display lists containing large numbers of objects could be constructed and stored in the X server by a remote X client program, each rendered by sending a single glCallList across the network. X provides no native support for audio. X uses a client–server model: an X server communicates with various client programs.
The server sends back user input. The server may function as: an application displaying to a window of another display system a system program controlling the video output of a PC a dedicated piece of hardwareThis client–server terminology – the user's terminal being the server and the applications being the clients – confuses new X users, because the terms appear reversed, but X takes the perspective of the application, rather than that of the end-user: X provides display and I/O services to applications, so it is a server. The communication protocol between server and client operates network-transparently: the client and server may run on the same machine or on different ones with different architectures and operating systems. A client and server can communicate securely over the Internet by tunneling the connection over an encrypted network session. An X client itself may emulate an X server by providing display services to other clients; this is known as "X nesting". Open-source clients such as Xnest and Xephyr support such X nesting.
To use an X client application on a remote machine, the user may do the following: on the local machine, open a terminal window use ssh with the X forwarding argument to connect to the remote machine request local display/input service The remote X client application will make a connection to the user's local X server, providing display and input to the user. Alternatively, the local machine may run a small program that connects to the remote machine and starts the client application. Practical examples of remote clients include: administering a remote machine graphically using a client application to join with large numbers of other terminal users in collaborative workgroups running a computationally intensive simulation on a remote machine and displaying the results on
Computer programming is the process of designing and building an executable computer program for accomplishing a specific computing task. Programming involves tasks such as: analysis, generating algorithms, profiling algorithms' accuracy and resource consumption, the implementation of algorithms in a chosen programming language; the source code of a program is written in one or more languages that are intelligible to programmers, rather than machine code, directly executed by the central processing unit. The purpose of programming is to find a sequence of instructions that will automate the performance of a task on a computer for solving a given problem; the process of programming thus requires expertise in several different subjects, including knowledge of the application domain, specialized algorithms, formal logic. Tasks accompanying and related to programming include: testing, source code maintenance, implementation of build systems, management of derived artifacts, such as the machine code of computer programs.
These might be considered part of the programming process, but the term software development is used for this larger process with the term programming, implementation, or coding reserved for the actual writing of code. Software engineering combines engineering techniques with software development practices. Reverse engineering is the opposite process. A hacker is any skilled computer expert that uses their technical knowledge to overcome a problem, but it can mean a security hacker in common language. Programmable devices have existed at least as far back as 1206 AD, when the automata of Al-Jazari were programmable, via pegs and cams, to play various rhythms and drum patterns. However, the first computer program is dated to 1843, when mathematician Ada Lovelace published an algorithm to calculate a sequence of Bernoulli numbers, intended to be carried out by Charles Babbage's Analytical Engine. Women would continue to dominate the field of computer programming until the mid 1960s. In the 1880s Herman Hollerith invented the concept of storing data in machine-readable form.
A control panel added to his 1906 Type I Tabulator allowed it to be programmed for different jobs, by the late 1940s, unit record equipment such as the IBM 602 and IBM 604, were programmed by control panels in a similar way. However, with the concept of the stored-program computers introduced in 1949, both programs and data were stored and manipulated in the same way in computer memory. Machine code was the language of early programs, written in the instruction set of the particular machine in binary notation. Assembly languages were soon developed that let the programmer specify instruction in a text format, with abbreviations for each operation code and meaningful names for specifying addresses. However, because an assembly language is little more than a different notation for a machine language, any two machines with different instruction sets have different assembly languages. Kathleen Booth created one of the first Assembly languages in 1950 for various computers at Birkbeck College. High-level languages allow the programmer to write programs in terms that are syntactically richer, more capable of abstracting the code, making it targetable to varying machine instruction sets via compilation declarations and heuristics.
The first compiler for a programming language was developed by Grace Hopper. When Hopper went to work on UNIVAC in 1949, she brought the idea of using compilers with her. Compilers harness the power of computers to make programming easier by allowing programmers to specify calculations by entering a formula using infix notation for example. FORTRAN, the first used high-level language to have a functional implementation which permitted the abstraction of reusable blocks of code, came out in 1957. In 1951 Frances E. Holberton developed the first sort-merge generator which ran on the UNIVAC I. Another woman working at UNIVAC, Adele Mildred Koss, developed a program, a precursor to report generators. In USSR, Kateryna Yushchenko developed the Address programming language for the MESM in 1955; the idea for the creation of COBOL started in 1959 when Mary K. Hawes, who worked for Burroughs Corporation, set up a meeting to discuss creating a common business language, she invited six people, including Grace Hopper.
Hopper was involved in developing COBOL as a business language and creating "self-documenting" programming. Hopper's contribution to COBOL was based on her programming language, called FLOW-MATIC. In 1961, Jean E. Sammet developed FORMAC and published Programming Languages: History and Fundamentals which went on to be a standard work on programming languages. Programs were still entered using punched cards or paper tape. See computer programming in the punch card era. By the late 1960s, data storage devices and computer terminals became inexpensive enough that programs could be created by typing directly into the computers. Frances Holberton created a code to allow keyboard inputs while she worked at UNIVAC. Text editors were developed that allowed changes and corrections to be made much more than with punched cards. Sister Mary Kenneth Keller worked on developing the programming language, BASIC when she was a graduate student at Dartmouth in the 1960s. One of the first object-oriented programming languages, was developed by seven programmers, including Adele Goldberg, in the 1970s.
In 1985, Radia Perlman developed the Spannin
Graphical user interface
The graphical user interface is a form of user interface that allows users to interact with electronic devices through graphical icons and visual indicators such as secondary notation, instead of text-based user interfaces, typed command labels or text navigation. GUIs were introduced in reaction to the perceived steep learning curve of command-line interfaces, which require commands to be typed on a computer keyboard; the actions in a GUI are performed through direct manipulation of the graphical elements. Beyond computers, GUIs are used in many handheld mobile devices such as MP3 players, portable media players, gaming devices and smaller household and industrial controls; the term GUI tends not to be applied to other lower-display resolution types of interfaces, such as video games, or not including flat screens, like volumetric displays because the term is restricted to the scope of two-dimensional display screens able to describe generic information, in the tradition of the computer science research at the Xerox Palo Alto Research Center.
Designing the visual composition and temporal behavior of a GUI is an important part of software application programming in the area of human–computer interaction. Its goal is to enhance the efficiency and ease of use for the underlying logical design of a stored program, a design discipline named usability. Methods of user-centered design are used to ensure that the visual language introduced in the design is well-tailored to the tasks; the visible graphical interface features of an application are sometimes referred to as chrome or GUI. Users interact with information by manipulating visual widgets that allow for interactions appropriate to the kind of data they hold; the widgets of a well-designed interface are selected to support the actions necessary to achieve the goals of users. A model–view–controller allows flexible structures in which the interface is independent from and indirectly linked to application functions, so the GUI can be customized easily; this allows users to select or design a different skin at will, eases the designer's work to change the interface as user needs evolve.
Good user interface design relates to users more, to system architecture less. Large widgets, such as windows provide a frame or container for the main presentation content such as a web page, email message or drawing. Smaller ones act as a user-input tool. A GUI may be designed for the requirements of a vertical market as application-specific graphical user interfaces. Examples include automated teller machines, point of sale touchscreens at restaurants, self-service checkouts used in a retail store, airline self-ticketing and check-in, information kiosks in a public space, like a train station or a museum, monitors or control screens in an embedded industrial application which employ a real-time operating system. By the 1980s, cell phones and handheld game systems employed application specific touchscreen GUIs. Newer automobiles use GUIs in their navigation systems and multimedia centers, or navigation multimedia center combinations. Sample graphical desktop environments A GUI uses a combination of technologies and devices to provide a platform that users can interact with, for the tasks of gathering and producing information.
A series of elements conforming a visual language have evolved to represent information stored in computers. This makes it easier for people with few computer skills to use computer software; the most common combination of such elements in GUIs is the windows, menus, pointer paradigm in personal computers. The WIMP style of interaction uses a virtual input device to represent the position of a pointing device, most a mouse, presents information organized in windows and represented with icons. Available commands are compiled together in menus, actions are performed making gestures with the pointing device. A window manager facilitates the interactions between windows and the windowing system; the windowing system handles hardware devices such as pointing devices, graphics hardware, positioning of the pointer. In personal computers, all these elements are modeled through a desktop metaphor to produce a simulation called a desktop environment in which the display represents a desktop, on which documents and folders of documents can be placed.
Window managers and other software combine to simulate the desktop environment with varying degrees of realism. Smaller mobile devices such as personal digital assistants and smartphones use the WIMP elements with different unifying metaphors, due to constraints in space and available input devices. Applications for which WIMP is not well suited may use newer interaction techniques, collectively termed post-WIMP user interfaces; as of 2011, some touchscreen-based operating systems such as Apple's iOS and Android use the class of GUIs named post-WIMP. These support styles of interaction using more than one finger in contact with a display, which allows actions such as pinching and rotating, which are unsupported by one pointer and mouse. Human interface devices, for the efficient interaction with a GUI include a computer keyboard used together with keyboard shortcuts, pointing devices for the cursor control: mouse, pointing stick, trackball, virtual keyboards, head-up displays. There are actions performed by programs that affect the GUI.
For example, there are components like inotify or D-Bus to facilitate communication between computer programs. Ivan Sutherland developed Sketchpad in 1963 held as the first graphical co
Computational chemistry is a branch of chemistry that uses computer simulation to assist in solving chemical problems. It uses methods of theoretical chemistry, incorporated into efficient computer programs, to calculate the structures and properties of molecules and solids, it is necessary because, apart from recent results concerning the hydrogen molecular ion, the quantum many-body problem cannot be solved analytically, much less in closed form. While computational results complement the information obtained by chemical experiments, it can in some cases predict hitherto unobserved chemical phenomena, it is used in the design of new drugs and materials. Examples of such properties are structure and relative energies, electronic charge density distributions and higher multipole moments, vibrational frequencies, reactivity, or other spectroscopic quantities, cross sections for collision with other particles; the methods used cover both dynamic situations. In all cases, the computer time and other resources increase with the size of the system being studied.
That system can be a group of molecules, or a solid. Computational chemistry methods range from approximate to accurate. Ab initio methods are based on quantum mechanics and basic physical constants. Other methods are called empirical or semi-empirical because they use additional empirical parameters. Both ab initio and semi-empirical approaches involve approximations; these range from simplified forms of the first-principles equations that are easier or faster to solve, to approximations limiting the size of the system, to fundamental approximations to the underlying equations that are required to achieve any solution to them at all. For example, most ab initio calculations make the Born–Oppenheimer approximation, which simplifies the underlying Schrödinger equation by assuming that the nuclei remain in place during the calculation. In principle, ab initio methods converge to the exact solution of the underlying equations as the number of approximations is reduced. In practice, however, it is impossible to eliminate all approximations, residual error remains.
The goal of computational chemistry is to minimize this residual error while keeping the calculations tractable. In some cases, the details of electronic structure are less important than the long-time phase space behavior of molecules; this is the case in conformational studies of protein-ligand binding thermodynamics. Classical approximations to the potential energy surface are used, as they are computationally less intensive than electronic calculations, to enable longer simulations of molecular dynamics. Furthermore, cheminformatics uses more empirical methods like machine learning based on physicochemical properties. One typical problem in cheminformatics is to predict the binding affinity of drug molecules to a given target. Building on the founding discoveries and theories in the history of quantum mechanics, the first theoretical calculations in chemistry were those of Walter Heitler and Fritz London in 1927; the books that were influential in the early development of computational quantum chemistry include Linus Pauling and E. Bright Wilson's 1935 Introduction to Quantum Mechanics – with Applications to Chemistry, Eyring and Kimball's 1944 Quantum Chemistry, Heitler's 1945 Elementary Wave Mechanics – with Applications to Quantum Chemistry, Coulson's 1952 textbook Valence, each of which served as primary references for chemists in the decades to follow.
With the development of efficient computer technology in the 1940s, the solutions of elaborate wave equations for complex atomic systems began to be a realizable objective. In the early 1950s, the first semi-empirical atomic orbital calculations were performed. Theoretical chemists became extensive users of the early digital computers. One major advance came with the 1951 paper in Reviews of Modern Physics by Clemens C. J. Roothaan in 1951 on the "LCAO MO" approach, for many years the second-most cited paper in that journal. A detailed account of such use in the United Kingdom is given by Smith and Sutcliffe; the first ab initio Hartree–Fock method calculations on diatomic molecules were performed in 1956 at MIT, using a basis set of Slater orbitals. For diatomic molecules, a systematic study using a minimum basis set and the first calculation with a larger basis set were published by Ransil and Nesbet in 1960; the first polyatomic calculations using Gaussian orbitals were performed in the late 1950s.
The first configuration interaction calculations were performed in Cambridge on the EDSAC computer in the 1950s using Gaussian orbitals by Boys and coworkers. By 1971, when a bibliography of ab initio calculations was published, the largest molecules included were naphthalene and azulene. Abstracts of many earlier developments in ab initio theory have been published by Schaefer. In 1964, Hückel method calculations of molecules, ranging in complexity from butadiene and benzene to ovalene, were generated on computers at Berkeley and Oxford; these empirical methods were replaced in the 1960s by semi-empirical methods such as CNDO. In the early 1970s, efficient ab initio computer programs such as ATMOL, Gaussian
It describes 18 elements comprising the initial simple design of HTML. Except for the hyperlink tag, these were influenced by SGMLguid, an in-house Standard Generalized Markup Language -based documentation format at CERN. Eleven of these elements still exist in HTML 4. HTML is a markup language that web browsers use to interpret and compose text and other material into visual or audible web pages. Default characteristics for every item of HTML markup are defined in the browser, these characteristics can be altered or enhanced by the web page designer's additional use of CSS. Many of the text elements are found in the 1988 ISO technical report TR 9537 Techniques for using SGML, which in turn covers the features of early text formatting languages such as that used by the RUNOFF command developed in the early 1960s for the CTSS operating system: these formatting commands were derived from the commands used by typesetters to manually format documents. However, the SGML concept of generalized markup is based on elements rather than print effects, with the separation of structure and markup.
Berners-Lee considered HTML to be an application of SGML. It was formally defined as such by the Internet Engineering Task Force with the mid-1993 publication of the first proposal for an HTML specification, the "Hypertext Markup Language" Internet Draft by Berners-Lee and Dan Connolly, which included an SGML Document type definition to define the grammar; the draft expired after six months, but was notable for its acknowledgment of the NCSA Mosaic browser's custom tag for embedding in-line images, reflecting the IETF's philosophy of basing standards on successful prototypes. Dave Raggett's competing Internet-Draft, "HTML+", from late 1993, suggested standardizing already-implemented features like tables and fill-out forms. After the HTML and HTML+ drafts expired in early 1994, the IETF created an HTML Working Group, which in 1995 completed "HTML 2.0", the first HTML specification intended to be treated as a standard against which future implementations should be based. Further development under the auspices of the IETF was stalled by competing interests.
Since 1996, the HTML specifications have been maintained, with input from commercial software vendors, by the World Wide Web Consortium. However, in 2000, HTML became an international standard. HTML 4.01 was published in late 1999, with further errata published through 2001. In 2004, development began on HTML5 in the Web Hypertext Application Technology Working Group, which became a joint deliverable with the W3C in 2008, completed and standardized on 28 October 2014. November 24, 1995 HTML 2.0 was published as RFC 1866. Supplemental RFCs added capabilities: November 25, 1995: RFC 1867 May 1996: RFC 1942 August 1996: RFC 1980 January 1997: RFC 2070 January 14, 1997 HTML 3.2 was published as a W3C Recommendation. It was the first version developed and standardized by the W3C, as the IETF had closed its HTML Working Group on September 12, 1996. Code-named "Wilbur", HTML 3.2 dropped math formulas reconciled overlap among various proprietary extensions and adopted most of Netscape's visual markup tags.
Netscape's blink element and Microsoft's marquee element were omitted due to a mutual agreement between the two companies. A markup for mathematical formu