Structures allow grouping of heterogeneous data types into a single unit called a structure. Structures can contain integer, float, double, character data and arrays. Structures are accessed using the dot operator. Unions share the same memory location for different data types and can hold data of only one member at a time. Enumerated data types define user-defined data types using the enum keyword where symbolic constants take on integer values starting from zero.
This document provides an overview of C# program structure and key concepts like namespaces, classes, structs, interfaces, enumerations, delegates, and abstract classes. It defines each concept, provides examples, and explains when to use each one and how they relate to each other. Namespaces help organize code, classes and structs define custom types, interfaces define common functionality, enumerations define named constants, delegates define callbacks, and abstract classes define common traits.
The document discusses objects and classes in Java. It defines a class as a template for creating objects with common properties and behaviors. A class contains fields to store data and methods to perform actions on that data. The document uses the Circle class as an example, defining fields like radius and center coordinates, and methods like circumference() and area(). It explains how to define classes, create objects from classes using the new keyword, access object fields and methods, and use nested classes, inner classes, local classes and anonymous classes in Java.
This document discusses object-oriented programming concepts in Kotlin such as classes, objects, methods, and static methods. It provides examples of defining classes that represent real-world entities like cars. Objects are defined as instances of classes that contain an address and occupy memory. Methods are functions that are part of a class and can be invoked by objects. Static methods belong to a class rather than individual objects.
Functional dependencies (FDs) describe relationships between attributes in a database relation. FDs constrain the values that can appear across attributes for each tuple. They are used to define database normalization forms.
Some examples of FDs are: student ID determines student name and birthdate; sport name determines sport type; student ID and sport name determine hours practiced per week.
FDs can be trivial, non-trivial, multi-valued, or transitive. Armstrong's axioms provide rules for inferring new FDs. The closure of a set of attributes includes all attributes functionally determined by that set according to the FDs. Closures are used to identify keys, prime attributes, and equivalence of FDs.
Encapsulation is one of the fundamental principles of object-oriented programming that allows objects to hide their internal representation and behavior from other objects. It involves restricting access to components of a class, and allowing access to the class only through public methods. This allows for more secure and maintainable code by preventing accidental or malicious changes to internal data. Getters and setters are commonly used to access private fields in a controlled manner and can include additional logic. Encapsulation provides benefits like making fields read-only or write-only, and allowing classes to control their internal data representation without affecting other code.
This document discusses declaration and initialization of variables in Java. It defines variables as names of storage locations and explains that variables must be declared before use by specifying the type and name. Variables can be initialized during declaration by assigning a value, or through an assignment statement or read statement after declaration. The document provides examples of declaring and initializing different variable types and using try/catch blocks to handle exceptions during input.
Core Java Programming Language (JSE) : Chapter III - Identifiers, Keywords, ...WebStackAcademy
An identifier is a name that is used for the identification purpose. It can either be a class name, method name, variable name, or label name. While creating identifier one must be aware of some rules that has to be followed strictly. Here are the things that can be included while creating java identifiers.
Keywords are predefined, reserved words used in Java programming that have special meanings to the compiler. For example:
int score;
Here, int is a keyword. It indicates that the variable score is of integer type (32-bit signed two's complement integer).
You cannot use keywords like int, for, class etc as variable name (or identifiers) as they are part of the Java programming language syntax. Here's the complete list of all keywords in Java programming.
The eight primitive data types in Java are:
boolean, the type whose values are either true or false
char, the character type whose values are 16-bit Unicode characters
the arithmetic types:
the integral types:
byte
short
int
long
the floating-point types:
float
double
Structures allow grouping of heterogeneous data types into a single unit called a structure. Structures can contain integer, float, double, character data and arrays. Structures are accessed using the dot operator. Unions share the same memory location for different data types and can hold data of only one member at a time. Enumerated data types define user-defined data types using the enum keyword where symbolic constants take on integer values starting from zero.
This document provides an overview of C# program structure and key concepts like namespaces, classes, structs, interfaces, enumerations, delegates, and abstract classes. It defines each concept, provides examples, and explains when to use each one and how they relate to each other. Namespaces help organize code, classes and structs define custom types, interfaces define common functionality, enumerations define named constants, delegates define callbacks, and abstract classes define common traits.
The document discusses objects and classes in Java. It defines a class as a template for creating objects with common properties and behaviors. A class contains fields to store data and methods to perform actions on that data. The document uses the Circle class as an example, defining fields like radius and center coordinates, and methods like circumference() and area(). It explains how to define classes, create objects from classes using the new keyword, access object fields and methods, and use nested classes, inner classes, local classes and anonymous classes in Java.
This document discusses object-oriented programming concepts in Kotlin such as classes, objects, methods, and static methods. It provides examples of defining classes that represent real-world entities like cars. Objects are defined as instances of classes that contain an address and occupy memory. Methods are functions that are part of a class and can be invoked by objects. Static methods belong to a class rather than individual objects.
Functional dependencies (FDs) describe relationships between attributes in a database relation. FDs constrain the values that can appear across attributes for each tuple. They are used to define database normalization forms.
Some examples of FDs are: student ID determines student name and birthdate; sport name determines sport type; student ID and sport name determine hours practiced per week.
FDs can be trivial, non-trivial, multi-valued, or transitive. Armstrong's axioms provide rules for inferring new FDs. The closure of a set of attributes includes all attributes functionally determined by that set according to the FDs. Closures are used to identify keys, prime attributes, and equivalence of FDs.
Encapsulation is one of the fundamental principles of object-oriented programming that allows objects to hide their internal representation and behavior from other objects. It involves restricting access to components of a class, and allowing access to the class only through public methods. This allows for more secure and maintainable code by preventing accidental or malicious changes to internal data. Getters and setters are commonly used to access private fields in a controlled manner and can include additional logic. Encapsulation provides benefits like making fields read-only or write-only, and allowing classes to control their internal data representation without affecting other code.
This document discusses declaration and initialization of variables in Java. It defines variables as names of storage locations and explains that variables must be declared before use by specifying the type and name. Variables can be initialized during declaration by assigning a value, or through an assignment statement or read statement after declaration. The document provides examples of declaring and initializing different variable types and using try/catch blocks to handle exceptions during input.
Core Java Programming Language (JSE) : Chapter III - Identifiers, Keywords, ...WebStackAcademy
An identifier is a name that is used for the identification purpose. It can either be a class name, method name, variable name, or label name. While creating identifier one must be aware of some rules that has to be followed strictly. Here are the things that can be included while creating java identifiers.
Keywords are predefined, reserved words used in Java programming that have special meanings to the compiler. For example:
int score;
Here, int is a keyword. It indicates that the variable score is of integer type (32-bit signed two's complement integer).
You cannot use keywords like int, for, class etc as variable name (or identifiers) as they are part of the Java programming language syntax. Here's the complete list of all keywords in Java programming.
The eight primitive data types in Java are:
boolean, the type whose values are either true or false
char, the character type whose values are 16-bit Unicode characters
the arithmetic types:
the integral types:
byte
short
int
long
the floating-point types:
float
double
This document discusses nested classes in Java. It defines nested classes as classes defined within other classes. There are two main types - non-static nested classes and static nested classes. Non-static nested classes can access private members of the outer class and require an outer class instance, while static nested classes behave like regular classes and do not require an outer class instance. The document covers the different types of non-static nested classes and provides examples to illustrate their usage and properties. It also compares static and non-static nested classes and discusses the advantages and disadvantages of using nested classes.
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
This document discusses object-oriented programming concepts in VB.NET, including:
- Classes define templates for objects with data and behaviors, while objects are instances of classes.
- Features like abstraction, encapsulation, and polymorphism are supported.
- Properties and methods represent object data and behaviors. Constructors and destructors manage object instantiation and cleanup.
- An example class defines properties and a constructor to initialize objects.
Encapsulation refers to bundling together data and behaviors into a single unit called a class. The data and behaviors are inseparable. Encapsulation provides information hiding by separating the internal implementation details of an object from its external accessible properties and methods. This prevents unintended interactions and dependencies that could arise if all data was globally accessible. Access specifiers like public, private, and protected determine which data and methods are accessible from inside or outside the class. Encapsulation builds a protective barrier around data to keep it safe from accidental modification or access from outside the class.
C# is a simple, modern, object-oriented, and type-safe programming language with a unified type system and support for versioning. It supports a variety of statements including blocks, declaration statements, expression statements, selection statements, iteration statements, jump statements, try-catch and try-finally statements, checked and unchecked statements, lock statements, and using statements. Classes are the most fundamental type in C# and combine state in the form of fields with actions in the form of methods and function members. Classes have both static and instance members.
JavaScript has several data types including numbers, strings, and Booleans. It uses various operators for assignment, comparison, arithmetic, bitwise, logical, and string operations. Control flow is handled with if/else statements and loops like for and while. Functions are declared with the function keyword followed by a name, parameters, and curly braces containing statements to execute.
This document discusses structures in C programming. It defines a structure as a collection of variables under a single name that provides a way to group related data. Structures allow heterogeneous data of different types to be stored together. The document covers defining and declaring structure types and variables, initializing structure members, using pointers to structures, and aggregate and segregate operations on structures like accessing members and taking the address of a structure.
Functional dependency defines a relationship between attributes in a table where a set of attributes determine another attribute. There are different types of functional dependencies including trivial, non-trivial, multivalued, and transitive. An example given is a student table with attributes Stu_Id, Stu_Name, Stu_Age which has the functional dependency of Stu_Id->Stu_Name since the student ID uniquely identifies the student name.
Structure basics
Declaring and defining a structure
Attributes of structure
Nested structures
Arrays as structure members
Arrays of structure
Passing arrays as arguments to structure
Union
Declaration defining and accessing.
Bit fields
Enumerated data types
reference:
1."Computer Fundamentals & Programming", Sumitabha Das.
2. Geeks for Geeks
The document discusses structures in C programming. It defines a structure as a collection of variables of different data types grouped together under a single name. Structures allow programmers to group logically related data as a user-defined data type. The document provides examples of defining structures for students, employees, products and time. It also covers declaring structure variables, accessing structure members using the dot operator, and differences between structures, arrays and unions.
The document discusses structures in C programming. It defines a structure as a collection of variables of different data types grouped together under a single name. Structures allow grouping of logically related data. Variables of a structure type are declared and each one contains its own copy of member variables. Members are accessed using the dot operator. Arrays of structures can be used to store multiple records. Nested structures allow a structure to contain another structure as a member.
The document discusses various aspects of structures in C programming language. It defines a structure as a collection of variables of different data types grouped together under a single name. Structures allow grouping of related data and can be very useful for representing records. The key points discussed include:
- Defining structures using struct keyword and accessing members using dot operator.
- Declaring structure variables and initializing structure members.
- Using arrays of structures to store multiple records.
- Nested structures to group related members together.
- Pointers to structures for dynamic memory allocation.
- Passing structures, structure pointers and arrays of structures to functions.
The document discusses C structures. It defines a structure as a user-defined data type that allows combining different data types under a single name. Structures are used to represent records, with examples given of book and employee records. It then covers defining and creating structure variables, accessing structure members, arrays of structures, and passing structures to functions by value and by reference.
1) The document discusses structures in C programming. A structure is a collection of variables of different data types grouped together under a single name.
2) Structures are defined using the struct keyword followed by the structure name and members. Multiple variables of a structure type can be declared. Members are accessed using the dot operator.
3) Pointers to structures can be declared like pointers to other variables. Structure members can also be accessed using pointers. Arrays of structures allow storing multiple structures in an array. Structures can be nested by defining a structure inside another structure.
A structure allows grouping of different data types under a single name. It contains members that can be of different types including arrays and other structures. Structures create a new data type that can then be used to declare variables of that type. Individual members of a structure are accessed using the dot operator between the structure name and member name. Structures allow copying of all members with a single assignment and arrays of structures can be defined. Pointers to structures can also be declared.
This document discusses different types of structures in C programming, including:
1. Defining basic structures with member variables of different data types.
2. Using typedef to create new data types from structures.
3. Initializing structures and accessing structure members.
4. Nested structures that contain other structures as members.
5. Arrays of structures and passing structures to functions.
C++ structs allow grouping of related data elements of different types. Structs define a new data type with members that can be accessed by name. Struct variables can be declared once the struct is defined. Members are accessed using the dot operator, such as struct_variable.member. While structs allow aggregation through assignment and passing by value/reference, they do not support arithmetic, comparisons, or I/O as aggregates. Arrays of structs are also possible, with elements accessed using both the array index and dot operator.
This document discusses nested classes in Java. It defines nested classes as classes defined within other classes. There are two main types - non-static nested classes and static nested classes. Non-static nested classes can access private members of the outer class and require an outer class instance, while static nested classes behave like regular classes and do not require an outer class instance. The document covers the different types of non-static nested classes and provides examples to illustrate their usage and properties. It also compares static and non-static nested classes and discusses the advantages and disadvantages of using nested classes.
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
This document discusses object-oriented programming concepts in VB.NET, including:
- Classes define templates for objects with data and behaviors, while objects are instances of classes.
- Features like abstraction, encapsulation, and polymorphism are supported.
- Properties and methods represent object data and behaviors. Constructors and destructors manage object instantiation and cleanup.
- An example class defines properties and a constructor to initialize objects.
Encapsulation refers to bundling together data and behaviors into a single unit called a class. The data and behaviors are inseparable. Encapsulation provides information hiding by separating the internal implementation details of an object from its external accessible properties and methods. This prevents unintended interactions and dependencies that could arise if all data was globally accessible. Access specifiers like public, private, and protected determine which data and methods are accessible from inside or outside the class. Encapsulation builds a protective barrier around data to keep it safe from accidental modification or access from outside the class.
C# is a simple, modern, object-oriented, and type-safe programming language with a unified type system and support for versioning. It supports a variety of statements including blocks, declaration statements, expression statements, selection statements, iteration statements, jump statements, try-catch and try-finally statements, checked and unchecked statements, lock statements, and using statements. Classes are the most fundamental type in C# and combine state in the form of fields with actions in the form of methods and function members. Classes have both static and instance members.
JavaScript has several data types including numbers, strings, and Booleans. It uses various operators for assignment, comparison, arithmetic, bitwise, logical, and string operations. Control flow is handled with if/else statements and loops like for and while. Functions are declared with the function keyword followed by a name, parameters, and curly braces containing statements to execute.
This document discusses structures in C programming. It defines a structure as a collection of variables under a single name that provides a way to group related data. Structures allow heterogeneous data of different types to be stored together. The document covers defining and declaring structure types and variables, initializing structure members, using pointers to structures, and aggregate and segregate operations on structures like accessing members and taking the address of a structure.
Functional dependency defines a relationship between attributes in a table where a set of attributes determine another attribute. There are different types of functional dependencies including trivial, non-trivial, multivalued, and transitive. An example given is a student table with attributes Stu_Id, Stu_Name, Stu_Age which has the functional dependency of Stu_Id->Stu_Name since the student ID uniquely identifies the student name.
Structure basics
Declaring and defining a structure
Attributes of structure
Nested structures
Arrays as structure members
Arrays of structure
Passing arrays as arguments to structure
Union
Declaration defining and accessing.
Bit fields
Enumerated data types
reference:
1."Computer Fundamentals & Programming", Sumitabha Das.
2. Geeks for Geeks
The document discusses structures in C programming. It defines a structure as a collection of variables of different data types grouped together under a single name. Structures allow programmers to group logically related data as a user-defined data type. The document provides examples of defining structures for students, employees, products and time. It also covers declaring structure variables, accessing structure members using the dot operator, and differences between structures, arrays and unions.
The document discusses structures in C programming. It defines a structure as a collection of variables of different data types grouped together under a single name. Structures allow grouping of logically related data. Variables of a structure type are declared and each one contains its own copy of member variables. Members are accessed using the dot operator. Arrays of structures can be used to store multiple records. Nested structures allow a structure to contain another structure as a member.
The document discusses various aspects of structures in C programming language. It defines a structure as a collection of variables of different data types grouped together under a single name. Structures allow grouping of related data and can be very useful for representing records. The key points discussed include:
- Defining structures using struct keyword and accessing members using dot operator.
- Declaring structure variables and initializing structure members.
- Using arrays of structures to store multiple records.
- Nested structures to group related members together.
- Pointers to structures for dynamic memory allocation.
- Passing structures, structure pointers and arrays of structures to functions.
The document discusses C structures. It defines a structure as a user-defined data type that allows combining different data types under a single name. Structures are used to represent records, with examples given of book and employee records. It then covers defining and creating structure variables, accessing structure members, arrays of structures, and passing structures to functions by value and by reference.
1) The document discusses structures in C programming. A structure is a collection of variables of different data types grouped together under a single name.
2) Structures are defined using the struct keyword followed by the structure name and members. Multiple variables of a structure type can be declared. Members are accessed using the dot operator.
3) Pointers to structures can be declared like pointers to other variables. Structure members can also be accessed using pointers. Arrays of structures allow storing multiple structures in an array. Structures can be nested by defining a structure inside another structure.
A structure allows grouping of different data types under a single name. It contains members that can be of different types including arrays and other structures. Structures create a new data type that can then be used to declare variables of that type. Individual members of a structure are accessed using the dot operator between the structure name and member name. Structures allow copying of all members with a single assignment and arrays of structures can be defined. Pointers to structures can also be declared.
This document discusses different types of structures in C programming, including:
1. Defining basic structures with member variables of different data types.
2. Using typedef to create new data types from structures.
3. Initializing structures and accessing structure members.
4. Nested structures that contain other structures as members.
5. Arrays of structures and passing structures to functions.
C++ structs allow grouping of related data elements of different types. Structs define a new data type with members that can be accessed by name. Struct variables can be declared once the struct is defined. Members are accessed using the dot operator, such as struct_variable.member. While structs allow aggregation through assignment and passing by value/reference, they do not support arithmetic, comparisons, or I/O as aggregates. Arrays of structs are also possible, with elements accessed using both the array index and dot operator.
The document discusses structures and unions in C programming. It defines a structure as a user-defined data type that allows storing heterogeneous data under a single name. Structures contain members that can be accessed using the dot operator. Arrays of structures allow storing multiple records of the same type. Structures can be nested by defining a structure member within another structure. Unions allow storing different types of data in the same memory location, but only one member can be accessed at a time. Examples are provided to demonstrate defining, declaring, and accessing structure and union variables as well as nested structures.
This document discusses using structures in C programming to store student records. It defines a student structure with roll number, name, and marks members. A program is provided that uses a structure array to store records for 10 students, reading input and then displaying the stored information. The key aspects of defining structures, declaring structure variables, accessing structure members, and allocating structure memory are explained. Sample problems are given to practice using structures to store book information and add distances.
The document discusses structures in the C programming language. It defines a structure as a collection of variables of different data types under a single name. Structures allow grouping of related data and treating it as a single unit. The document covers defining structures, initializing structure variables, accessing structure members using dot operators, passing structures to functions, and nested structures. It provides examples of declaring, defining and using structures to store and process student records.
This document provides an introduction to structures in C programming. It defines structures as a collection of variables of different types grouped under a single name. Examples of structures include student records, bank accounts, and address books. The document outlines how to define and declare structure variables, access members using the dot operator, initialize structures, and write simple programs using structures. The overall purpose is to teach the basic concepts and applications of structures.
Structures allow grouping of related data types together under one name. A structure defines members of different data types. Structure variables can be declared to access members using dot operator. Arrays of structures can be defined to represent multiple records. Structures can be nested by defining a structure as a member of another structure. Unions are similar to structures but share same memory space for members rather than each occupying own space like in structures.
1) The document discusses different aspects of structures in C programming such as defining a structure, initializing structures, accessing structure members, arrays of structures, nested structures, and pointers to structures.
2) A structure allows grouping of different data types under a single name and is useful for representing records with multiple attributes of an entity.
3) Structures can contain other structures to represent nested relationships between entities. Pointers to structures allow structures to be passed to functions and returned from functions.
The document discusses C programming concepts including structures, unions, and data types. It covers defining and using structures, with examples of declaring structure variables, initializing members, accessing members, structure assignment, arrays of structures, and structures within structures. It also discusses defining and using unions, and provides an example union definition and memory allocation. The document is made up of multiple lectures on these topics presented in Busy Bee workshops.
Basic of Structure,Structure members,Accessing Structure member,Nested Struct...Smit Shah
The document discusses structures in C programming. Some key points:
- A structure defines a new data type that groups together different data types under a single name.
- Structures allow programmers to organize related data items into records or objects.
- Structure members are accessed using the dot operator (.).
- Arrays of structures can be defined to store multiple records of the same kind.
- Structures can be nested by defining a structure as a member of another structure. This allows grouping related structures.
Self-referential structures contain a pointer member that points to an instance of the same structure type. This allows structures to reference themselves, enabling data structures like linked lists. A self-referential structure example is a student structure with a roll number, name, and a link pointer pointing to another student structure. Self-referential structures are useful for implementing linked data structures that connect nodes like lists, stacks, and trees.
Similar to structures in C and Union in C, enumerated datatype (20)
This document provides information about career opportunities in the defense forces of India, including the Indian Army, Indian Air Force, and Indian Navy. It outlines the roles and responsibilities of each force, such as war fighting, internal security, force projection, and disaster relief. It then describes the entry schemes for joining each force for both men and women, including required education levels, marital status restrictions, and duration of training programs. The document also discusses ranks and pay scales, important entrance examinations, application processes, the multi-day selection process conducted by Services Selection Boards, and recommended preparation sources.
The document discusses software quality and achieving high quality software. It notes that software companies often deliver software with known bugs and that low quality software increases risks for developers and users. It also discusses the costs of quality and how management decisions impact quality. Achieving quality involves software engineering methods, project management techniques, quality control, and quality assurance. Reviews, testing, and validation are important parts of the quality process.
This document discusses various techniques for content-based modeling in UML, including:
1. Developing activity diagrams and swim lane diagrams to represent use case scenarios.
2. Identifying analysis classes by examining the problem statement and defining attributes and operations.
3. Using class-responsibility-collaborator modeling to identify relevant classes through index cards and defining associations and dependencies between classes.
4. Organizing model elements into analysis packages.
ER diagrams model the conceptual view of a database by representing real-world entities and the relationships between them. Entities have attributes that define their properties. Relationships associate entities and can be binary, ternary, or n-ary. Relationships have cardinalities like one-to-one, one-to-many, many-to-one, or many-to-many to indicate the number of entities that can be related. ER diagrams visually depict these concepts using rectangles for entities, ellipses for attributes, diamonds for relationships, and notation like 1:N to specify cardinalities.
bit wise operators and I/O operations in Cpreetikapri1
A bit is the smallest unit of data storage with two values: 0 and 1. There are three types of bits: one's complement which reverses bit values, logical bitwise operators like AND, OR, XOR, and shift operators which shift bits left or right a specified number of positions. Files are stored in secondary memory with a filename, data structure, and purpose. To work with files, a file pointer is used and opened with fopen(), then read from or written to using functions like fprintf() and fscanf(), and closed with fclose() when finished.
Microsoft Access is a relational database management system that combines the Microsoft Jet Database Engine with a graphical user interface and development tools. It allows users to create tables, queries, forms and macros to structure, retrieve and analyze data from any source using SQL. Access provides file server database functionality along with security features like password protection.
A function is a block of code that performs a specific task and can be called from other parts of a program. Functions receive arguments, perform calculations, and return results. Functions are defined with a return type, name, and parameter list. For example, an "int sum(int a)" function takes an integer as a parameter, performs addition, and returns an integer. The main function calls other functions to perform tasks and receive returned values. Recursive functions call themselves to repeat a task.
This document provides an overview of the C programming language. It discusses that C was developed at AT&T's lab by Dennis Ritchie and is a structured, portable, and reliable programming language. It then lists reasons for learning C like its use in operating systems and applications. The document outlines key features of C like portability, speed, and extensibility. It also describes the compilation process, data types, operators, and basic structure of a C program.
Preprocessor directives are commands that are executed by the C preprocessor before compilation. Common preprocessor directives include #include to add header files, #define for macros, #if/#elif/#else for conditional compilation, and #undef to remove macros. Standard input/output functions like printf(), scanf(), gets(), puts() handle formatted and unformatted console I/O. These functions allow reading user input from the keyboard and displaying output to the monitor.
The document summarizes various browser objects including the window, form, history, and date objects. The window object represents a browser window and has properties like closed, status, and location. It can be used to open new windows. The form object takes attributes like name, method, and action. The history object represents the browser history and has properties like next, previous, and current. The date object handles date and time values and has methods like getDate(), getMonth(), and setHours().
This document provides an introduction to HTML and discusses why learning it is important for careers in web design and development. It notes that associate degrees or certificate programs in subjects like web design and development can prepare students for entry-level jobs, while bachelor's degrees allow students to learn more advanced skills for jobs in web design, development, and other computer fields. Certificate programs typically include courses in HTML, Flash, JavaScript, and Perl and can help with career changes.
The document discusses CSS properties for fonts, text, background, positioning, and layers. It defines CSS properties like font-family, font-size, background-color, position, z-index and provides examples of how to use each one. Properties like font-family set the font, font-size sets the text size, background-color sets the background color, position controls element positioning, and z-index controls layer order for overlapping elements.
This document discusses various consumer-oriented applications of personal finance management and home banking. It outlines basic services like ATMs, intermediate services, and advanced services. Basic services discussed ATMs and their cost savings. Advanced services discussed home shopping through television, catalogs both physical and online, and microtransactions for small information services. The key is giving customers control over their banking and purchasing.
The document describes an architecture framework for ecommerce applications consisting of 6 layers: 1) Application services with consumer, business, and intra-organization applications, 2) Brokerage and data management for service integration, 3) Interface layer providing catalogs and directories, 4) Secure messaging for communicating data, 5) Middleware services for interaction between systems, and 6) Network infrastructure including the World Wide Web as an architecture with protocols like HTTP, IP, and TCP. Communication between layers is enabled by protocols such as FTP, HTTP, SMTP, and SSL to securely transfer files and messages.
impact of ecommerce on traditional means preetikapri1
The document discusses the advantages and disadvantages of e-commerce. It also discusses various technical and non-technical limitations of e-commerce including lack of system security, rapidly changing software tools, high costs, and lack of customer trust in online transactions. Additionally, it outlines different types of e-commerce models including business-to-business, business-to-consumer, consumer-to-business, and consumer-to-consumer. Finally, it discusses the impact of e-commerce on traditional business models and the need for new integrated business and e-commerce goals.
This document discusses electronic data interchange (EDI) and outlines the key steps involved in a partially integrated EDI system. It also lists the pre-requisites for implementing an EDI system, including identifying needs, weighing costs and benefits, selecting partners, and planning implementation. Finally, it addresses some of the legal, security, and privacy issues related to EDI systems.
This document discusses various consumer-oriented applications of personal finance management and home banking. It describes basic services like ATMs, intermediate services, and advanced services. Advanced services discussed include home shopping through television, catalogs, and microtransactions of information. The key benefits highlighted are avoiding lines, flexibility of banking anytime, and lower costs compared to manual processing.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
structures in C and Union in C, enumerated datatype
1.
2. Definition of structures
• A structure is a collection of logically related
elements having a single name.
Syntax:
struct tag_name
{
type1 member1;
type2 member2;
……………
} empty or variable;
struct student
{
char name[10];
Int roll_number;
} s1;
3. Initialization of structures
• Example
struct student
{
char name[5];
int roll_number;
} s1={“ravi”,10};
struct student
{
char name[5];
int roll_number;
};
struct student s1= {“ravi”,10};
4. Accessing structures
• Structures use a dot (.) operator to refer
to its elements also known as period
operator.
• Syntax:
structure_variablename.structure_membername
5. Example for accessing structures
struct student
{
char name[5];
int roll_number;
};
struct student s1= {“ravi”,10};
Accessing members using variables as:
s1.name refers to string “ravi”
s1.roll_number refers to roll_number 10
6.
7. Definition of union
• Union is a collection of variables referred
under a single name.
• Syntax and declaration of union is similar to a
structure but its functionality is different.
• In structures, each member has its own
storage whereas all members of union use
the same location.
8. Syntax and example
union tag_name
{
type1 member1;
type2 member2;
……………
} empty or variable;
union u
{
char c;
int i;
} a;
Accessing members
a.c
a.i
9.
10. Definition
• An enumerated data type is a user defined data
type which includes descriptive names also called
enumerators.
• Syntax
enum type_name
{
member1;
member2;
……………
} empty or variable;
enum color
{
RED;
BLUE;
GREEN;
} c;
11.
12. Definition
• A pointer is a variable that points to a memory
location in which data is stored.
• Example: if v is a variable stored in memory,
then to access the location of v, we define
another variable pv.
pv= &v;
Address of v Value of v
pv v
13. • In order to access the data of variable v, then
*pv is used, where * is unary operator, called
indirection operator.
• For example: if we take another variable u,
then to access the value we use:
pv= &v;
u= *pv;