This document discusses variables and data types in programming. It defines variables as symbols that represent values that can change. Variables are used to store information needed during a program's execution. The document outlines different types of variables like local and global, and rules for naming variables. It also discusses data types like integer, floating point, character, string, and Boolean, and how they classify different types of information. The document concludes by explaining how variables must be declared before use and how declarations associate a type and name with a variable.
C programming provides various data types that determine how variables are set and acted upon, including integer, floating point, and character types. Data types specify a set of values and characteristics for a variable, and are used to identify a variable's type when declared, a function's return value, and parameters expected by a function.
This document provides an introduction to generic programming. It discusses the motivation for generic programming, which includes providing better abstraction and reusability in programming languages. It describes two main models for generic programming - parametric polymorphism in statically typed languages and dynamic typing in dynamically typed languages. The document also discusses implementation issues around generic programming such as efficiency, code generation, and language details.
The document discusses various .NET programming concepts like variables, data types, loops, and keywords. It provides definitions and examples of concepts like value types vs reference types, constants vs read-only variables, and syntax for if/else, while, for, and switch statements. Key differences between functions and sub-procedures are outlined as well as boxing and unboxing.
This document discusses key concepts in programming languages including names, keywords, variables, and binding. It defines names as strings that identify entities, noting conventions like starting with letters. Keywords and reserved words are discussed, with keywords being redefinable and reserved words not allowed as names. Variables are defined by their name, address, value, type, lifetime and scope. Binding is the association between an attribute and entity, which can be static or dynamic.
The document describes aspects of creating and defining a domain-specific language in MPS, including defining concepts, structure, editors, and relationships between concepts. Key concepts include Entity, Field, and Statement. Concepts can be abstract, extended by subconcepts, and implemented as interfaces. Editors are defined for concepts. The language is played with and compiled in a sandbox solution.
This document discusses variables and data types in programming. It defines variables as symbols that represent values that can change. Variables are used to store information needed during a program's execution. The document outlines different types of variables like local and global, and rules for naming variables. It also discusses data types like integer, floating point, character, string, and Boolean, and how they classify different types of information. The document concludes by explaining how variables must be declared before use and how declarations associate a type and name with a variable.
C programming provides various data types that determine how variables are set and acted upon, including integer, floating point, and character types. Data types specify a set of values and characteristics for a variable, and are used to identify a variable's type when declared, a function's return value, and parameters expected by a function.
This document provides an introduction to generic programming. It discusses the motivation for generic programming, which includes providing better abstraction and reusability in programming languages. It describes two main models for generic programming - parametric polymorphism in statically typed languages and dynamic typing in dynamically typed languages. The document also discusses implementation issues around generic programming such as efficiency, code generation, and language details.
The document discusses various .NET programming concepts like variables, data types, loops, and keywords. It provides definitions and examples of concepts like value types vs reference types, constants vs read-only variables, and syntax for if/else, while, for, and switch statements. Key differences between functions and sub-procedures are outlined as well as boxing and unboxing.
This document discusses key concepts in programming languages including names, keywords, variables, and binding. It defines names as strings that identify entities, noting conventions like starting with letters. Keywords and reserved words are discussed, with keywords being redefinable and reserved words not allowed as names. Variables are defined by their name, address, value, type, lifetime and scope. Binding is the association between an attribute and entity, which can be static or dynamic.
The document describes aspects of creating and defining a domain-specific language in MPS, including defining concepts, structure, editors, and relationships between concepts. Key concepts include Entity, Field, and Statement. Concepts can be abstract, extended by subconcepts, and implemented as interfaces. Editors are defined for concepts. The language is played with and compiled in a sandbox solution.
AACL 2018 - Going Beyond Simple Word-list Creation Using CasualConcyasuimao
This is a slightly modified version of the slides presented at AACL 2018, Atlanta, Georgia.
All the graphs on the slides are created by CasualConc using R.
This document provides an overview of language design and translation issues. It covers several topics including programming language concepts, paradigms and models, programming environments, virtual computers and binding times, programming language syntax, stages in translation, formal transition models, elementary data types and properties of types and objects, and scalar and composite data types. The document is part of a syllabus for a course on programming language concepts.
The document provides an overview of external domain-specific languages (DSLs) and compilers. It discusses how an external DSL uses entities similar to classes with fields and inheritance. It then gives examples of how a compiler takes source code, performs lexical analysis, syntax analysis, semantic analysis, and code generation to produce an internal representation and optimized output code. Finally, it discusses how parser generators can automatically create a parser based on a grammar description of the DSL.
This document discusses data types, variables, literals, expressions, and input/output in programming languages. It also covers different types of operators used in expressions and different methods for passing arguments to subprograms, including pass by value and pass by reference. Pass by value creates separate copies of arguments for the subprogram, while pass by reference allows the subprogram to modify the original arguments.
The document discusses several programming paradigms:
- The object-oriented paradigm deals with active objects that can receive messages to perform methods like printing or copying. Classes are used to define common methods for objects like files.
- Functional programming treats programs as mathematical functions that map inputs to outputs. Functions can be combined to perform tasks like extracting elements from a list.
- Declarative programming uses logical reasoning over facts and rules to deduce answers to queries, as in the language Prolog.
- Common concepts across procedural languages include identifiers that symbolically name data rather than using addresses directly.
Translation memories are databases that store source text and corresponding translations in language pairs. When a linguist translates a document using a computer-assisted translation tool, the tool queries the translation memory to find matching or similar text and provide translation suggestions. Using translation memories improves consistency, accelerates the translation process by reusing existing translations, and reduces costs for long-term projects. Translation memories are owned by the customer and should contain all completed translations.
explanation on C# value data types and reference data types. It also explains how they are stored in the heap or stack memory.
Feel free to drop your questions and comments below.
This presentation contain detail information about C language and its tokens such as Variables, data types, constant, operators, punctuator/separator , keywords . please do comment for your feedback or suggestions.
XML is a markup language used for storing and transporting data from source to client. It uses user-defined tags and is platform independent. Tools like XML editors, validators, and parsers are used to work with XML documents. XML focuses on describing data, while HTML focuses on displaying data, making XML well-suited for transporting data between systems. XHTML combines aspects of HTML and XML to create a stable markup language. SOAP uses XML to transport messages and data for web services, while REST can use XML, JSON, or plain text and is easier to maintain than SOAP.
Projectional editing is an approach where the user directly edits an abstract syntax tree (AST) representation of code rather than text. The editor mimics a text editor to some extent by allowing the user to see and edit placeholders that represent the AST, though the user is actually editing the AST directly rather than text. This approach allows languages to evolve more easily than with text-based parsing since the AST structure is unambiguously defined, and it also allows languages to be more easily combined by defining a common set of node types.
A variable can be thought of as a memory location that can hold values of a particular type. The value of a variable can change during the lifetime of the program, hence the name "variable".
This document discusses variables in programming languages. It defines a variable as having attributes like name, address, value, type, lifetime and scope. It discusses different types of bindings for these attributes like static binding at compile time and dynamic binding at runtime. It also discusses type checking, strong vs weak typing, and different scoping rules like static and dynamic scoping. Finally, it covers concepts like garbage collection, data types including primitive types like integers and strings, and design issues for variables and data types.
The document discusses key concepts related to names, variables, and scopes in programming languages:
- Names identify entities and have attributes like case sensitivity; variables have a name, type, value, address, lifetime and scope.
- Variables can be declared statically or dynamically; static variables are bound at compile time while dynamic binding occurs at runtime.
- The scope of a variable determines its visibility - local variables are only visible within their function while global variables have broader visibility.
- Referencing environments contain all variables visible within a statement, including those in ancestor scopes for languages with static scoping.
- Other concepts discussed include binding, aliases, constants, and how variables are allocated and deallocated memory.
The document discusses key concepts related to names, variables, and scopes in programming languages:
- Names identify entities and have attributes like case sensitivity; variables have a name, type, value, address, lifetime and scope.
- Variables can be declared statically or dynamically; static variables are bound at compile time while dynamic binding occurs at runtime.
- The scope of a variable determines its visibility - local variables are only visible within their function while global variables have broader visibility.
- Referencing environments contain all variables visible within a statement, including those in ancestor scopes for languages with static scoping.
- Other concepts discussed include binding, aliases, constants, and how variables are allocated and deallocated memory.
A data type defines a data storage format that can contain specific values. When programs store data in variables, each variable must be assigned a data type, such as integers, floating point numbers, characters, strings, and arrays. Some languages require defining a variable's data type before assigning a value, while others can automatically assign the type based on the initial value. Data types are also used in databases to uniformly store fields like names as strings, dates of hire as dates, and salaries as integers.
This document discusses programming concepts such as variables, constants, data types, and program structure. It defines key terms like:
- Variables which store changing data in memory and are assigned a data type. Constants store fixed values.
- Data types include integers, reals, Booleans, strings, characters which determine how data is stored and processed.
- Programs use statements, selection (if/else), and repetition (loops). Procedures and functions are subroutines that can optionally return values.
- Parameters pass values to subroutines to influence their behavior. Variables can be global or local in scope, influencing where they are accessible.
The document provides an overview of programming languages and the program development life cycle (PDLC). It discusses several types of programming languages including machine/assembly languages, algorithmic languages, business-oriented languages, education-oriented languages, and object-oriented languages. It also describes the six main steps of the PDLC: defining the problem, designing the program, coding the program, testing and debugging the program, documenting the program, and deploying and maintaining the program.
This document discusses different programming paradigms and languages. It begins by defining unstructured programming as a paradigm where the entire program logic is written as a single continuous block, making it difficult to modify and debug. It then covers structured programming which divides programs into smaller, independently testable modules or functions. Object-oriented programming models programs around real-world objects. The document also discusses machine language, assembly language, procedural languages, and different generations of languages from low-level to high-level.
This document discusses different types of programming languages including procedural languages, object-oriented programming, visual languages, markup languages, and scripting languages. Procedural languages break tasks into procedures or subroutines. Object-oriented programming breaks programs into objects that can perform tasks and communicate. Visual languages have graphical user interfaces and allow programming via forms and objects. Markup languages use tags to structure text and include images. Scripting languages can be typed directly and are often used to automate tasks. The best choice of language depends on factors like organizational needs and resources.
Computer programming involves writing source code instructions in a language the computer can understand to perform tasks. High-level languages like Java and C# are translated into machine code by compilers or interpreters. There are two main programming approaches - procedural which focuses on ordering blocks of code, and object-oriented which packages data and code together into objects. Object-oriented programming is now the most common approach used in languages like Java, C++ and C#.
INTERPRETER AND APPLIED DEVELOPMENT ENVIRONMENT FOR LEARNING CONCEPTS OF OBJE...ijpla
This document presents a tool called BOOP (Basic Object Oriented Programming) that was created to help learn concepts of object-oriented programming. The tool includes a domain-specific programming language in Spanish, an interpreter for the language, and an integrated development environment (IDE). The IDE provides buttons and dialog boxes to guide users in writing code without needing deep knowledge of syntax. It also includes an assistant that explains OOP concepts to complement the learning process. The goal of the tool is to help users understand OOP concepts before learning to develop complex applications in other languages.
Java-centered Translator-based Multi-paradigm Software Development EnvironmentWaqas Tariq
This research explores the use of a translator-based multi-paradigm programming method to develop high quality software. With Java as the target language, an integrated software development environment is built to allow different parts of software implemented in Lisp, Prolog, and Java respectively. Two open source translators named PrologCafe and Linj are used to translate Prolog and Lisp program into Java classes. In the end, the generated Java classes are compiled and linked into one executable program. To demonstrate the functionalities of this integrated multi-paradigm environment, a calculator application is developed. Our study has demonstrated that a centralized translator-based multi-paradigm software development environment has great potential for improving software quality and the productivity of software developers. The key to the successful adoption of this approach in large software development depends on the compatibility among the translators and seamless integration of generated codes.
AACL 2018 - Going Beyond Simple Word-list Creation Using CasualConcyasuimao
This is a slightly modified version of the slides presented at AACL 2018, Atlanta, Georgia.
All the graphs on the slides are created by CasualConc using R.
This document provides an overview of language design and translation issues. It covers several topics including programming language concepts, paradigms and models, programming environments, virtual computers and binding times, programming language syntax, stages in translation, formal transition models, elementary data types and properties of types and objects, and scalar and composite data types. The document is part of a syllabus for a course on programming language concepts.
The document provides an overview of external domain-specific languages (DSLs) and compilers. It discusses how an external DSL uses entities similar to classes with fields and inheritance. It then gives examples of how a compiler takes source code, performs lexical analysis, syntax analysis, semantic analysis, and code generation to produce an internal representation and optimized output code. Finally, it discusses how parser generators can automatically create a parser based on a grammar description of the DSL.
This document discusses data types, variables, literals, expressions, and input/output in programming languages. It also covers different types of operators used in expressions and different methods for passing arguments to subprograms, including pass by value and pass by reference. Pass by value creates separate copies of arguments for the subprogram, while pass by reference allows the subprogram to modify the original arguments.
The document discusses several programming paradigms:
- The object-oriented paradigm deals with active objects that can receive messages to perform methods like printing or copying. Classes are used to define common methods for objects like files.
- Functional programming treats programs as mathematical functions that map inputs to outputs. Functions can be combined to perform tasks like extracting elements from a list.
- Declarative programming uses logical reasoning over facts and rules to deduce answers to queries, as in the language Prolog.
- Common concepts across procedural languages include identifiers that symbolically name data rather than using addresses directly.
Translation memories are databases that store source text and corresponding translations in language pairs. When a linguist translates a document using a computer-assisted translation tool, the tool queries the translation memory to find matching or similar text and provide translation suggestions. Using translation memories improves consistency, accelerates the translation process by reusing existing translations, and reduces costs for long-term projects. Translation memories are owned by the customer and should contain all completed translations.
explanation on C# value data types and reference data types. It also explains how they are stored in the heap or stack memory.
Feel free to drop your questions and comments below.
This presentation contain detail information about C language and its tokens such as Variables, data types, constant, operators, punctuator/separator , keywords . please do comment for your feedback or suggestions.
XML is a markup language used for storing and transporting data from source to client. It uses user-defined tags and is platform independent. Tools like XML editors, validators, and parsers are used to work with XML documents. XML focuses on describing data, while HTML focuses on displaying data, making XML well-suited for transporting data between systems. XHTML combines aspects of HTML and XML to create a stable markup language. SOAP uses XML to transport messages and data for web services, while REST can use XML, JSON, or plain text and is easier to maintain than SOAP.
Projectional editing is an approach where the user directly edits an abstract syntax tree (AST) representation of code rather than text. The editor mimics a text editor to some extent by allowing the user to see and edit placeholders that represent the AST, though the user is actually editing the AST directly rather than text. This approach allows languages to evolve more easily than with text-based parsing since the AST structure is unambiguously defined, and it also allows languages to be more easily combined by defining a common set of node types.
A variable can be thought of as a memory location that can hold values of a particular type. The value of a variable can change during the lifetime of the program, hence the name "variable".
This document discusses variables in programming languages. It defines a variable as having attributes like name, address, value, type, lifetime and scope. It discusses different types of bindings for these attributes like static binding at compile time and dynamic binding at runtime. It also discusses type checking, strong vs weak typing, and different scoping rules like static and dynamic scoping. Finally, it covers concepts like garbage collection, data types including primitive types like integers and strings, and design issues for variables and data types.
The document discusses key concepts related to names, variables, and scopes in programming languages:
- Names identify entities and have attributes like case sensitivity; variables have a name, type, value, address, lifetime and scope.
- Variables can be declared statically or dynamically; static variables are bound at compile time while dynamic binding occurs at runtime.
- The scope of a variable determines its visibility - local variables are only visible within their function while global variables have broader visibility.
- Referencing environments contain all variables visible within a statement, including those in ancestor scopes for languages with static scoping.
- Other concepts discussed include binding, aliases, constants, and how variables are allocated and deallocated memory.
The document discusses key concepts related to names, variables, and scopes in programming languages:
- Names identify entities and have attributes like case sensitivity; variables have a name, type, value, address, lifetime and scope.
- Variables can be declared statically or dynamically; static variables are bound at compile time while dynamic binding occurs at runtime.
- The scope of a variable determines its visibility - local variables are only visible within their function while global variables have broader visibility.
- Referencing environments contain all variables visible within a statement, including those in ancestor scopes for languages with static scoping.
- Other concepts discussed include binding, aliases, constants, and how variables are allocated and deallocated memory.
A data type defines a data storage format that can contain specific values. When programs store data in variables, each variable must be assigned a data type, such as integers, floating point numbers, characters, strings, and arrays. Some languages require defining a variable's data type before assigning a value, while others can automatically assign the type based on the initial value. Data types are also used in databases to uniformly store fields like names as strings, dates of hire as dates, and salaries as integers.
This document discusses programming concepts such as variables, constants, data types, and program structure. It defines key terms like:
- Variables which store changing data in memory and are assigned a data type. Constants store fixed values.
- Data types include integers, reals, Booleans, strings, characters which determine how data is stored and processed.
- Programs use statements, selection (if/else), and repetition (loops). Procedures and functions are subroutines that can optionally return values.
- Parameters pass values to subroutines to influence their behavior. Variables can be global or local in scope, influencing where they are accessible.
The document provides an overview of programming languages and the program development life cycle (PDLC). It discusses several types of programming languages including machine/assembly languages, algorithmic languages, business-oriented languages, education-oriented languages, and object-oriented languages. It also describes the six main steps of the PDLC: defining the problem, designing the program, coding the program, testing and debugging the program, documenting the program, and deploying and maintaining the program.
This document discusses different programming paradigms and languages. It begins by defining unstructured programming as a paradigm where the entire program logic is written as a single continuous block, making it difficult to modify and debug. It then covers structured programming which divides programs into smaller, independently testable modules or functions. Object-oriented programming models programs around real-world objects. The document also discusses machine language, assembly language, procedural languages, and different generations of languages from low-level to high-level.
This document discusses different types of programming languages including procedural languages, object-oriented programming, visual languages, markup languages, and scripting languages. Procedural languages break tasks into procedures or subroutines. Object-oriented programming breaks programs into objects that can perform tasks and communicate. Visual languages have graphical user interfaces and allow programming via forms and objects. Markup languages use tags to structure text and include images. Scripting languages can be typed directly and are often used to automate tasks. The best choice of language depends on factors like organizational needs and resources.
Computer programming involves writing source code instructions in a language the computer can understand to perform tasks. High-level languages like Java and C# are translated into machine code by compilers or interpreters. There are two main programming approaches - procedural which focuses on ordering blocks of code, and object-oriented which packages data and code together into objects. Object-oriented programming is now the most common approach used in languages like Java, C++ and C#.
INTERPRETER AND APPLIED DEVELOPMENT ENVIRONMENT FOR LEARNING CONCEPTS OF OBJE...ijpla
This document presents a tool called BOOP (Basic Object Oriented Programming) that was created to help learn concepts of object-oriented programming. The tool includes a domain-specific programming language in Spanish, an interpreter for the language, and an integrated development environment (IDE). The IDE provides buttons and dialog boxes to guide users in writing code without needing deep knowledge of syntax. It also includes an assistant that explains OOP concepts to complement the learning process. The goal of the tool is to help users understand OOP concepts before learning to develop complex applications in other languages.
Java-centered Translator-based Multi-paradigm Software Development EnvironmentWaqas Tariq
This research explores the use of a translator-based multi-paradigm programming method to develop high quality software. With Java as the target language, an integrated software development environment is built to allow different parts of software implemented in Lisp, Prolog, and Java respectively. Two open source translators named PrologCafe and Linj are used to translate Prolog and Lisp program into Java classes. In the end, the generated Java classes are compiled and linked into one executable program. To demonstrate the functionalities of this integrated multi-paradigm environment, a calculator application is developed. Our study has demonstrated that a centralized translator-based multi-paradigm software development environment has great potential for improving software quality and the productivity of software developers. The key to the successful adoption of this approach in large software development depends on the compatibility among the translators and seamless integration of generated codes.
This document discusses several key concepts for comparing programming languages. It begins by explaining that programming languages conform to rules for syntax and semantics and that there are thousands of languages, though few become widely popular. It then outlines 12 main concepts for comparing languages: object orientation, static vs dynamic typing, generic classes, inheritance, feature renaming, method overloading, operator overloading, higher order functions/lexical closures, garbage collection, uniform access, class variables/methods, and reflection. For each concept, it provides details on how it is implemented in different languages.
Visual Basic is a rapid application development tool that uses an interactive development environment. It allows users to create graphical user interfaces visually by dragging and dropping objects instead of writing code. Visual Basic uses an event-driven programming model, where code executes in response to user and system events. It supports object-oriented programming concepts like classes and modules. Variables can be declared with different data types and arrays can be fixed-size or dynamic.
This document discusses typeful programming and sophisticated type systems. It introduces concepts like higher-order functions, abstract types, polymorphism, subtyping, modules, and interfaces. The goal is to show how typeful programming benefits from advanced type systems by adding power, regularity, and clarity to languages. It presents a unified type theoretical framework that incorporates these concepts and describes them in the context of a sample programming language.
This document describes features of OpenOffice.org Writer and how to use it. It covers writing documents, formatting and structuring text, desktop publishing tools, calculations, and creating drawings. It also explains how to use the Error Report Tool to report crashes, and how to exchange databases to change the data source for fields in a document.
This document describes features of OpenOffice.org Writer and contains 3 chapters. Chapter 1 discusses writing, designing, and publishing features. Chapter 2 covers the Error Report Tool. Chapter 3 explains how to exchange databases in a document.
This document discusses how to define and create notes in an electronic medical records system. It describes linking a foundation file to establish note margins and locations, selecting a title, tab, and doctype for the note. It also discusses adding note elements like vitals, medications, and inserting default text that can apply to specific users or all users. The default text can include variables and its font size can be set globally.
Programming involves writing computer code to solve problems by implementing algorithms. A program is a set of instructions that a computer follows to perform a task. A programmer writes computer software and applications using specific programming languages. There are different programming methodologies and languages. Procedural languages specify the steps to solve a problem using variables, conditions, and functions. Functional programming uses pure mathematical functions and expressions instead of statements. Structured programming facilitates creating programs with readable code and reusable components. Modular programming separates program functionality into independent and interchangeable modules.
This document discusses programming languages, including their definition, types, paradigms, and generations. It defines programming languages as artificial languages that control computer behavior through syntactic and semantic rules. It describes the main types of programming languages as procedural, functional, object-oriented, and scripting. It also discusses common and uncommon language constructs, different programming paradigms, and generations of languages from machine code to artificial intelligence languages.
1. Using Variables in Programming
Introduction
This computer programming tutorial is designed to help you understand variables, which are a
central part of any programming language. Variables provide temporary storage for information that
will be needed during the lifespan of the computer program (or application).
Variables are also used in programming to transfer information from one part of the program to
another - for example to provide a place to lay out a document before printing it - as well as being a
place to store status information that might be needed by all parts of that program.
While some of the concepts might seem language-specific, they apply to all programming languages
to varying degrees, and the terminology is programming language-neutral.
A programmer can imagine a variable as being a box into which information can be placed, and the
shape of the box (the variables type) determines what kind of information it can store.
It is advised to read the Data Types Tutorial before this one, if the above statement is in any way
unclear.
Scope
In order to ensure that the right information is modified during the execution of the program, most
programming languages employ a concept known as scoping.
The scope of a variable defines whether it can be accessed and/or modified by a given part of the
program. If it can be accessed, it is said to be in scope, otherwise, it is said to be out of scope.
Local variables are those that are in scope within a specific part of the program (function,
procedure, method, or subroutine, depending on the programming language employed).
Local variables might be read only, or read-write, depending on how they were passed to the
program part. Those that are defined within the program part will be read-write.
Passing variables can be done by value (read-only), and the information can be read by the program
part (function, procedure, method, subroutine, etc.) but not modified.
To allow modification, they should be passed by reference. This passes a pointer to the variable,
rather than the value, and ensures that the variable is read-write, when in scope.
Global variables are those that are in scope for the duration of the programs execution. They can be
accessed by any part of the program, and are read-write for all statements that access them.
Care should be taken when using global variables, and it is wise to indicate their scope by prefixing
the variable name with 'g_', 'global_', or something similar.
2. Variable Types
Since data can take a variety of forms, variables need to be defined according to their data type . If a
programming language is strongly typed the variable needs to be defined, along with its type, before
use. Programming languages that are weakly typed generally adopt a definition for a variable
without this step (for example, Visual Basic and JavaScript).
In addition, we can define variables as scalars, having one discrete value in a predefined range
determined by their data type, or arrays, containing a list of scalar values of a specific dimension. If
this seems like an abstract idea, imagine a set of post office pigeon holes, each storing a piece of
data.
Finally, there are user defined types (UDTs) and abstract data types, (ADTs) which allow the
programmer to extend the programming language by defining their own data types.
We might, for example, prefer to use a TRUE/FALSE value rather than 1/0. To do this, we can define
a UDT BOOLEAN, which has two possible values TRUE, assigned to be the same as 1, and FALSE,
assigned to be the same as 0. Our UDT can then be used as if the BOOLEAN type is part of the
language.
An ADT is generally used to store a piece of data that has multiple parts for example a name and
address card, which might have three or four pieces of information (name, address, telephone) but
which we might like to contain within a single ADDRESS data type.
Once we define what the ADDRESS.name, ADDRESS.address and ADDRESS.telephone members
look like, we can create a data type ADDRESS that can be used as a form of container.
Finally, pointers are a special kind of variable which refer to the memory location of that variable. To
read or write the value, we just follow the pointer. They are useful in creating temporary references
to pieces of data that can be destroyed and re-formed during the programs life cycle.
Conclusion
Along with the Data Types tutorial, this gives a first step in
dealing with temporary information storage in a computer
program. Understanding data types and variables is a key
requirement for the further use of any programming
language, and everyone using these tutorials to learn
programming will need to make sure that they have a good
grasp of the concepts involved.
Navigation Links
The Data Types TutorialBack to the General Programming Index
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