Python lists allow storing heterogeneous data elements and are mutable. Lists use square brackets and store elements by index starting from 0. Common list operations include accessing elements, slicing, concatenation, replication, updating and deleting elements. Functions like min(), max() and len() operate on lists while methods such as append(), insert(), pop(), sort() modify lists.
Collections Framework is a unified architecture for managing collections, Main Parts of Collections Framework
1. Interfaces :- Core interfaces defining common functionality exhibited by collections
2. Implementations :- Concrete classes of the core interfaces providing data structures
3. Operations :- Methods that perform various operations on collections
C programming language allows data to be divided into different types including simple, structured, and user-defined types. Structures are a user-defined type that groups related data of different types under a single name. A structure is defined by specifying the data types and names of its members. Structure variables can be declared, initialized, and their members accessed using the dot operator. Arrays of structures and structures within structures can also be defined. Structures can be passed to and returned from functions.
- A structure is a user-defined data type that groups logically related data items of different data types into a single unit. Structures allow related data to be accessed and managed together.
- Structures can contain nested structures as members. Nested structure members are accessed using two period operators (e.g. e1.doj.day).
- Structures can be passed to functions as parameters and returned from functions. Pointers to structures are declared and accessed using arrow (->) operator instead of period operator.
- A union shares the same memory space for multiple data types, allocating only enough space for its largest member. Unions allow different types to share the same memory location.
A file is a collection of related data that a computer treats as a single unit. Files allow data to be stored permanently even when the computer is shut down. C uses the FILE structure to store attributes of a file. Files allow for flexible data storage and retrieval of large data volumes like experimental results. Key file operations in C include opening, reading, writing, and closing files. Functions like fopen(), fread(), fwrite(), fclose() perform these operations.
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 classes and objects in object-oriented programming. It defines what a class is, how classes are declared with public and private members, and how objects are instantiated from classes. It also describes defining member functions inside and outside of classes, and the use of static class members and friend functions.
Abstract Class & Abstract Method in Core JavaMOHIT AGARWAL
This document discusses abstract classes in Java. It defines an abstract class as a class declared with the abstract keyword that may contain abstract and non-abstract methods. Abstract classes cannot be instantiated and require subclasses to implement any abstract methods. The document provides examples of abstract class and method declarations and demonstrates how subclasses must implement abstract methods to be instantiated. It also outlines some key uses of abstract classes such as code sharing among related classes.
Classes allow users to bundle data and functions together. A class defines data members and member functions. Data members store data within each object, while member functions implement behaviors. Classes support access specifiers like public and private to control access to members. Objects are instances of classes that allocate memory for data members. Member functions can access object data members and are called on objects using dot notation. Friend functions allow non-member functions to access private members of classes.
The access modifiers in Java specify the visibility or scope of classes, fields, methods, and constructors. There are four access modifiers: private (visible only within the class), default (visible within the package), protected (visible within the package and subclasses), and public (visible everywhere). Access modifiers determine where classes, fields, methods, and constructors declared with the modifiers can be accessed.
String is a non-primitive and immutable data type in Java that represents a sequence of characters. It is stored in the String Constant Pool in the heap memory. Methods like equals(), concat(), contains(), indexOf() etc. are used to perform operations on strings. String is immutable to prevent unexpected behavior if the contents of a string are changed.
The document discusses inline functions in C++. Inline functions allow code from a function to be pasted directly into the call site rather than executing a function call. This avoids overhead from calling and returning from functions. Good candidates for inline are small, simple functions called frequently. The document provides an example of a function defined with the inline keyword and the optimizations a compiler may perform after inlining. It also compares inline functions to macros and discusses where inline functions are best used.
This document provides an introduction to strings in C programming. It discusses that strings are arrays of characters terminated by a null character. It explains how to declare and initialize strings, and provides examples of simple string programs. It also lists common string functions like strlen(), strcpy(), and strcat(), and provides examples of using each function. The document is intended as a presentation on strings for C programming.
The document discusses insertion operations in arrays. It explains that to insert a new element into a one dimensional array, space must be created for the new element by moving existing elements. For example, to insert between the first and second element, the last N-1 elements would need to be moved down. An algorithm for insertion is provided that involves shifting elements after the insertion point over by one index to make space and then inserting the new element at that index.
String objects are stored in the constant string pool and are immutable. StringBuffer and StringBuilder objects are stored in the heap and are mutable. StringBuffer is thread-safe while StringBuilder is non-thread-safe but faster than StringBuffer. The key differences are that String objects cannot be modified, while StringBuffer and StringBuilder can modify their character sequences via append and insert methods. String concatenation involves more steps than StringBuffer concatenation via the append method.
This document provides an overview of key concepts in C programming including variables, arrays, pointers, and arrays using pointers. It defines variables as names that refer to memory locations holding values. Arrays are collections of homogeneous elements that can be one-dimensional or multi-dimensional. Pointers are variables that store the address of another variable and allow indirect access to values. The document also discusses pointer types, arrays using pointers, and differences between arrays and pointers.
This document discusses classes and objects in C++. It defines a class as a user-defined data type that implements an abstract object by combining data members and member functions. Data members are called data fields and member functions are called methods. An abstract data type separates logical properties from implementation details and supports data abstraction, encapsulation, and hiding. Common examples of abstract data types include Boolean, integer, array, stack, queue, and tree structures. The document goes on to describe class definitions, access specifiers, static members, and how to define and access class members and methods.
This document discusses one-dimensional arrays. It defines a one-dimensional array as a list of values with the same data type stored under a single name. Elements are stored in consecutive memory locations and can be accessed using the array name and index. Individual elements are referenced as array_name[index]. The size of an array is the number of elements, and the type refers to the data type of the values. Memory addresses for elements are calculated from the base address using the index and size. Examples are provided to demonstrate accessing elements and calculating memory addresses.
The document discusses stacks and queues as linear data structures. It defines stacks and queues, describes their common operations like push, pop, insert and delete, and ways to implement them using arrays and linked lists. Array implementation of stacks and queues is shown along with diagrams. Linked list implementation of stacks and queues is also discussed with diagrams showing the insertion and deletion of nodes. Sample programs to implement stacks and queues using arrays and linked lists are mentioned.
The document discusses structures in C programming. 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 multiple attributes. The document explains how to declare and define structures with tags, and access structure members using dot and pointer operators. It provides an example of a nested structure and a program demonstrating the use of functions and pointers with structures.
The document discusses strings in C programming. It defines strings as sequences of characters stored as character arrays that are terminated with a null character. It covers string literals, declaring and initializing string variables, reading and writing strings, and common string manipulation functions like strlen(), strcpy(), strcmp(), and strcat(). These functions allow operations on strings like getting the length, copying strings, comparing strings, and concatenating strings.
This document outlines the syllabus for Computer Science (41) taught by Prof. K. Adisesha. It covers 4 units: Unit A discusses computer hardware components and data structures; Unit B covers object-oriented programming in C++; Unit C focuses on databases, queries, and large data; Unit D examines advanced communication technology concepts like networking and web design. Key topics include motherboards, Boolean algebra, arrays, stacks, queues, classes, inheritance, pointers, files, SQL, networks, and HTML.
This document summarizes key concepts about packages, classes, and the static keyword in Java. It discusses how packages are used to organize classes and prevent naming conflicts. It also explains that the static keyword in Java is used for memory management and that static variables, methods, blocks, and nested classes belong to the class rather than object instances. The document provides examples of how to define packages and use the static keyword with variables, methods, and blocks in Java programs.
The program accepts 5 items from the command line and stores them in a Vector. It then demonstrates deleting an item, adding an item at a specified position, adding an item at the end, and printing the Vector contents. The Vector implements a dynamic array that can hold any type of objects and any number of elements. It is contained in the java.util package and is synchronized.
This document summarizes Chapter 2 on arrays and structures from a textbook on data structures in C. It outlines key topics like the array abstract data type, structures and unions, polynomial and sparse matrix abstract data types, multidimensional arrays, and strings. Examples are provided on implementing arrays, structures, polynomials, and various operations like addition and multiplication on polynomials.
This document summarizes Chapter 2 on arrays and structures from a textbook on data structures in C. It covers various abstract data types including arrays, polynomials, sparse matrices, and strings. It provides examples of implementing one-dimensional and multi-dimensional arrays in C. Structures and unions are described as a way to group heterogeneous data. Self-referential structures and implementation of abstract data types using arrays are also discussed.
The document discusses classes and objects in object-oriented programming. It defines what a class is, how classes are declared with public and private members, and how objects are instantiated from classes. It also describes defining member functions inside and outside of classes, and the use of static class members and friend functions.
Abstract Class & Abstract Method in Core JavaMOHIT AGARWAL
This document discusses abstract classes in Java. It defines an abstract class as a class declared with the abstract keyword that may contain abstract and non-abstract methods. Abstract classes cannot be instantiated and require subclasses to implement any abstract methods. The document provides examples of abstract class and method declarations and demonstrates how subclasses must implement abstract methods to be instantiated. It also outlines some key uses of abstract classes such as code sharing among related classes.
Classes allow users to bundle data and functions together. A class defines data members and member functions. Data members store data within each object, while member functions implement behaviors. Classes support access specifiers like public and private to control access to members. Objects are instances of classes that allocate memory for data members. Member functions can access object data members and are called on objects using dot notation. Friend functions allow non-member functions to access private members of classes.
The access modifiers in Java specify the visibility or scope of classes, fields, methods, and constructors. There are four access modifiers: private (visible only within the class), default (visible within the package), protected (visible within the package and subclasses), and public (visible everywhere). Access modifiers determine where classes, fields, methods, and constructors declared with the modifiers can be accessed.
String is a non-primitive and immutable data type in Java that represents a sequence of characters. It is stored in the String Constant Pool in the heap memory. Methods like equals(), concat(), contains(), indexOf() etc. are used to perform operations on strings. String is immutable to prevent unexpected behavior if the contents of a string are changed.
The document discusses inline functions in C++. Inline functions allow code from a function to be pasted directly into the call site rather than executing a function call. This avoids overhead from calling and returning from functions. Good candidates for inline are small, simple functions called frequently. The document provides an example of a function defined with the inline keyword and the optimizations a compiler may perform after inlining. It also compares inline functions to macros and discusses where inline functions are best used.
This document provides an introduction to strings in C programming. It discusses that strings are arrays of characters terminated by a null character. It explains how to declare and initialize strings, and provides examples of simple string programs. It also lists common string functions like strlen(), strcpy(), and strcat(), and provides examples of using each function. The document is intended as a presentation on strings for C programming.
The document discusses insertion operations in arrays. It explains that to insert a new element into a one dimensional array, space must be created for the new element by moving existing elements. For example, to insert between the first and second element, the last N-1 elements would need to be moved down. An algorithm for insertion is provided that involves shifting elements after the insertion point over by one index to make space and then inserting the new element at that index.
String objects are stored in the constant string pool and are immutable. StringBuffer and StringBuilder objects are stored in the heap and are mutable. StringBuffer is thread-safe while StringBuilder is non-thread-safe but faster than StringBuffer. The key differences are that String objects cannot be modified, while StringBuffer and StringBuilder can modify their character sequences via append and insert methods. String concatenation involves more steps than StringBuffer concatenation via the append method.
This document provides an overview of key concepts in C programming including variables, arrays, pointers, and arrays using pointers. It defines variables as names that refer to memory locations holding values. Arrays are collections of homogeneous elements that can be one-dimensional or multi-dimensional. Pointers are variables that store the address of another variable and allow indirect access to values. The document also discusses pointer types, arrays using pointers, and differences between arrays and pointers.
This document discusses classes and objects in C++. It defines a class as a user-defined data type that implements an abstract object by combining data members and member functions. Data members are called data fields and member functions are called methods. An abstract data type separates logical properties from implementation details and supports data abstraction, encapsulation, and hiding. Common examples of abstract data types include Boolean, integer, array, stack, queue, and tree structures. The document goes on to describe class definitions, access specifiers, static members, and how to define and access class members and methods.
This document discusses one-dimensional arrays. It defines a one-dimensional array as a list of values with the same data type stored under a single name. Elements are stored in consecutive memory locations and can be accessed using the array name and index. Individual elements are referenced as array_name[index]. The size of an array is the number of elements, and the type refers to the data type of the values. Memory addresses for elements are calculated from the base address using the index and size. Examples are provided to demonstrate accessing elements and calculating memory addresses.
The document discusses stacks and queues as linear data structures. It defines stacks and queues, describes their common operations like push, pop, insert and delete, and ways to implement them using arrays and linked lists. Array implementation of stacks and queues is shown along with diagrams. Linked list implementation of stacks and queues is also discussed with diagrams showing the insertion and deletion of nodes. Sample programs to implement stacks and queues using arrays and linked lists are mentioned.
The document discusses structures in C programming. 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 multiple attributes. The document explains how to declare and define structures with tags, and access structure members using dot and pointer operators. It provides an example of a nested structure and a program demonstrating the use of functions and pointers with structures.
The document discusses strings in C programming. It defines strings as sequences of characters stored as character arrays that are terminated with a null character. It covers string literals, declaring and initializing string variables, reading and writing strings, and common string manipulation functions like strlen(), strcpy(), strcmp(), and strcat(). These functions allow operations on strings like getting the length, copying strings, comparing strings, and concatenating strings.
This document outlines the syllabus for Computer Science (41) taught by Prof. K. Adisesha. It covers 4 units: Unit A discusses computer hardware components and data structures; Unit B covers object-oriented programming in C++; Unit C focuses on databases, queries, and large data; Unit D examines advanced communication technology concepts like networking and web design. Key topics include motherboards, Boolean algebra, arrays, stacks, queues, classes, inheritance, pointers, files, SQL, networks, and HTML.
This document summarizes key concepts about packages, classes, and the static keyword in Java. It discusses how packages are used to organize classes and prevent naming conflicts. It also explains that the static keyword in Java is used for memory management and that static variables, methods, blocks, and nested classes belong to the class rather than object instances. The document provides examples of how to define packages and use the static keyword with variables, methods, and blocks in Java programs.
The program accepts 5 items from the command line and stores them in a Vector. It then demonstrates deleting an item, adding an item at a specified position, adding an item at the end, and printing the Vector contents. The Vector implements a dynamic array that can hold any type of objects and any number of elements. It is contained in the java.util package and is synchronized.
This document summarizes Chapter 2 on arrays and structures from a textbook on data structures in C. It outlines key topics like the array abstract data type, structures and unions, polynomial and sparse matrix abstract data types, multidimensional arrays, and strings. Examples are provided on implementing arrays, structures, polynomials, and various operations like addition and multiplication on polynomials.
This document summarizes Chapter 2 on arrays and structures from a textbook on data structures in C. It covers various abstract data types including arrays, polynomials, sparse matrices, and strings. It provides examples of implementing one-dimensional and multi-dimensional arrays in C. Structures and unions are described as a way to group heterogeneous data. Self-referential structures and implementation of abstract data types using arrays are also discussed.
Arrays and pointers have a close relationship in C. An array name is a pointer to the first element of the array. Pointers can be used to access and modify array elements. Functions can modify arrays passed by reference by using pointers to the array elements. Pointer arithmetic and array indexing are equivalent and allow accessing successive elements of an array. Pointers to arrays can be returned from functions to access modified arrays.
This document provides information on arrays in Java. It begins by defining an array as a collection of similar data types that can store values of a homogeneous type. Arrays must specify their size at declaration and use zero-based indexing. The document then discusses single dimensional arrays, how to declare and initialize them, and how to set and access array elements. It also covers multi-dimensional arrays, providing syntax for declaration and initialization. Examples are given for creating, initializing, accessing, and printing array elements. The document concludes with examples of searching arrays and performing operations on two-dimensional arrays like matrix addition and multiplication.
Arrays in Python can hold multiple values and each element has a numeric index. Arrays can be one-dimensional (1D), two-dimensional (2D), or multi-dimensional. Common operations on arrays include accessing elements, adding/removing elements, concatenating arrays, slicing arrays, looping through elements, and sorting arrays. The NumPy library provides powerful capabilities to work with n-dimensional arrays and matrices.
1) The document discusses arrays in C programming, including what arrays are, how to declare and initialize one-dimensional arrays, and how to perform common operations like reading, writing, summing, and finding largest elements in arrays.
2) Examples are provided to demonstrate how to write programs to read and display arrays, calculate sums of array elements, and determine other properties of arrays.
3) Key concepts covered include declaring arrays, initializing arrays, accessing array elements, looping through arrays, and performing calculations using the elements of arrays.
Arrays are fundamental data structures that store elements of the same type. In Python, lists are used instead of arrays since there is no native array type. Lists can store elements of different types, making them more flexible than arrays. The NumPy package provides a multidimensional array object that allows high-performance operations and is used for scientific computing in Python. NumPy arrays have attributes like shape, size, type and support various operations like sum, min, max. Multidimensional arrays can be created in NumPy using functions like array, linspace, logspace, arange and initialized with zeros or ones.
The document discusses one-dimensional arrays in C++. It defines an array as a series of elements of the same type that can be referenced collectively by a common name. These elements are placed in consecutive memory locations and can be individually referenced using a subscript or index. The document covers declaring and initializing one-dimensional arrays, accessing array elements individually and collectively, inputting and displaying array elements, and provides examples of programs that work with arrays.
The document discusses arrays and multi-dimensional arrays in C programming. It defines arrays as collections of homogeneous data elements indexed by integers, and multi-dimensional arrays as arrays with more than one dimension where each additional dimension requires another pair of brackets. Examples are provided to demonstrate one-dimensional and two-dimensional arrays, including programs to input, output, sort and manipulate array elements. Common array operations like traversing, accessing, and declaring arrays of various types are also explained.
An array is a collection of data items stored at contiguous memory locations. Arrays can have one or more dimensions. A one-dimensional array is declared with the data type, array name, and size. Elements are accessed using indexes within brackets. Two-dimensional arrays are declared with the data type, array name with two sets of brackets and sizes. Elements are accessed using row and column indexes. Arrays can be passed to functions by passing a pointer to the first element or by passing the entire array. Array elements can be accessed and modified within functions.
Pointer is a variable that holds the address of another variable. Pointers are useful for accessing variables outside functions, efficiently handling data tables, reducing program length/complexity, and increasing execution speed. Pointers are declared with a data type followed by an asterisk and can be initialized by assigning the address of a variable. The value at a pointer's address is accessed with an asterisk. Pointers can access elements in arrays and strings. They can also access members of structures. Pointers provide a flexible way to handle one and two dimensional arrays as well as strings of varying lengths.
The document discusses arrays in C/C++. It defines arrays as collections of similar data items of static size. It describes how to declare arrays using syntax like type arrayName[array_size], and that array elements are accessed via subscripting using the index inside square brackets like arrayName[index]. It provides examples of initializing arrays, printing array elements, and performing operations on arrays like counting elements or copying arrays.
The document provides an overview of data structures and algorithms. It defines key terms like data, information, structures, and data structures. It discusses one-dimensional and two-dimensional arrays, including how they are represented in memory in row-major and column-major order. The document also covers topics like algorithms, different types of data structures, operations that can be performed on data, and the difference between static and dynamic data structures.
An array is a collection of similar elements that are stored in contiguous memory locations. Arrays in C can have one or more dimensions. One-dimensional arrays are declared with the type of elements, name of the array, and number of elements within brackets (e.g. int marks[30]). Multi-dimensional arrays represent matrices and are declared with the number of rows and columns (e.g. int arr[5][10]). Individual elements within an array are accessed via indices (e.g. arr[2][7]). Pointers in C are related to arrays - the name of an array represents the address of its first element, and pointer arithmetic can be used to access successive elements in an array.
This document discusses arrays in C/C++. It defines arrays as structures that contain a collection of related data items of the same type. Arrays have a static size that is set when they are declared. The document outlines how to declare and initialize arrays, including specifying the array name, type, size, and initial element values. It also explains how to access array elements using indexes and the subscript notation.
Deadlocks occur when a set of processes are blocked because each process is holding a resource and waiting for another resource held by another process in the set. For example, two processes P1 and P2 each hold one of two disk drives and each needs the other disk drive. Deadlock can arise when four conditions hold simultaneously: mutual exclusion, hold and wait, no preemption, and circular wait. A resource-allocation graph with vertices for processes and resources and edges for requests and assignments can model resource usage and identify if a deadlock cycle exists. The presence of a cycle indicates the potential for deadlock.
This document discusses different memory management strategies used in operating systems. It describes basic hardware components like main memory, registers, and cache. It then covers address binding techniques, logical vs physical address spaces, and dynamic loading and linking of processes. The rest of the document discusses paging as a memory management strategy, including hardware support through page tables, protection using valid-invalid bits, and sharing of pages between processes.
Virtual memory allows programs to exceed physical memory limits by treating secondary storage as additional "virtual" memory. When a program accesses a memory page not in RAM, a page fault occurs and the OS loads the required page from disk. This demand paging loads only pages used, improving CPU and memory utilization over loading the entire program at once. Hardware support for virtual memory includes page tables to track valid/invalid pages and secondary storage to hold pages not currently in memory.
This document provides an overview of IO hardware and how operating systems manage communication with input/output devices. It discusses how device drivers act as interfaces between the OS and different types of hardware. It also describes various techniques for communicating with devices, including using registers, memory-mapped IO, polling, interrupts, DMA, and the roles of controllers. Interrupts allow asynchronous notification to the CPU when devices need attention. DMA offloads data transfers from the CPU. Effective management of IO is important for system performance.
The document discusses the structure of file systems. It explains that a file system provides mechanisms for storing and accessing files and data. It uses a layered approach, with each layer responsible for specific tasks related to file management. The logical file system contains metadata and verifies permissions and paths. It maps logical file blocks to physical disk blocks using a file organization module, which also manages free space. The basic file system then issues I/O commands to access those physical blocks via device drivers, with I/O controls handling interrupts.
This document discusses file management concepts including files, file attributes, file operations, file types, file structure, and access methods. Key points include:
- Files represent named collections of related information stored on secondary storage.
- File attributes include name, identifier, type, location, size, protection, and time/date information.
- Basic file operations are creating, writing, reading, repositioning, deleting, and truncating files.
- File types include ordinary files, directory files, and special files which represent devices.
- File structure and access methods like sequential, direct, and indexed access determine how information is organized and retrieved from files.
The document discusses secondary storage and magnetic disk structure. It provides details on:
- Secondary storage devices like disks, tapes, and drives have non-volatile memory and are slower but cheaper than primary storage like RAM.
- Magnetic disks are divided into platters, tracks, cylinders, and sectors. Read/write heads access data locations specified by head, sector, cylinder addresses.
- Various disk scheduling algorithms like FCFS, SSTF, SCAN, C-SCAN, and LOOK are described which improve disk bandwidth and access time by processing requests in different orders.
- Directory structures organize files in a storage system and contain metadata about each file's name, location, size, and type. They allow operations like creating, searching, deleting, listing, and renaming files.
- Early systems used single-level directories with one list of all files, but this does not allow multiple files with the same name or grouping of files.
- Modern systems commonly use tree-structured directories that allow nesting files into subdirectories, making searching more efficient and allowing grouping of similar files. Directories can also be connected in acyclic graphs to enable sharing of files between directories through links.
Directory implementation and allocation methodssangrampatil81
This document discusses directory implementation and file allocation methods in file systems. It describes two common directory implementation algorithms: linear lists and hash tables. It also outlines three file allocation methods: contiguous allocation, linked allocation, and indexed allocation. Each method is explained along with its advantages and disadvantages.
This document discusses different page replacement algorithms used in operating systems. It begins by explaining the basic concept of page replacement that occurs when memory is full and a page fault happens. It then describes several common page replacement algorithms: FIFO, Optimal, LRU, LRU approximations using reference bits, and Second Chance. The key aspects of each algorithm are summarized, such as FIFO replacing the oldest page, Optimal replacing the page not used for longest time, and LRU approximating this by tracking recently used pages. The document provides an overview of page replacement techniques in computer systems.
1. There are three methods to handle deadlocks: prevention, avoidance, and detection with recovery.
2. Deadlock prevention ensures that at least one of the necessary conditions for deadlock cannot occur. Deadlock avoidance requires processes to declare maximum resource needs upfront.
3. The Banker's algorithm is a deadlock avoidance technique that dynamically checks the resource allocation state to ensure it remains safe and no circular wait can occur.
Semaphores provide a solution for mutual exclusion among concurrent processes by using integer variables and operations like wait() and signal(). There are two main types: counting semaphores, which have an unrestricted value domain and are used to coordinate shared resources; and binary semaphores, which are restricted to values of 0 and 1. Semaphores use queues to block processes when resources are unavailable and wakeup processes when resources become available.
Monitors provide mutual exclusion and condition synchronization within a defined structure. A monitor contains shared variable declarations and procedures that operate on those variables. Only one process can execute code within a monitor at a time. Condition variables allow additional synchronization, where a process can wait on a condition and another process can signal that condition. This allows processes to synchronize execution without risking problems like deadlocks that can occur with improper use of semaphores.
Classical problems of process synchronizationsangrampatil81
The document discusses three classical problems of process synchronization:
1) The Producer-Consumer problem which is solved using semaphores to control access to a shared buffer between a producer and consumer.
2) The Readers-Writers problem where multiple processes can read a file but only one can write to prevent inconsistencies, solved using semaphores.
3) The Dining Philosophers problem where philosophers share chopsticks, which must be solved to prevent deadlock situations when all philosophers try to eat at once.
A virtual machine is a software implementation of a computer that runs programs like an actual physical machine. It shares the physical hardware of the host machine but isolates the guest operating system and applications to avoid impacting other users. Using CPU scheduling and virtual memory techniques, the host operating system can create the illusion for each virtual machine that it has its own dedicated CPU and memory. This allows a single physical machine to run multiple operating systems concurrently while maintaining isolation between them.
System programs, also known as system utilities, provide convenient tools for program development and execution. They are categorized into file management, status information, file modification, programming language support, program loading and execution, communication, and application programs. System programs perform functions like creating, deleting and modifying files, displaying system status, supporting programming languages, loading and executing other programs, enabling communication, and providing applications to solve common problems.
The open system call opens a file and returns a file descriptor. It takes a file path, access flags, and optional mode as arguments. The library function open() wraps the system call. It returns the file descriptor on success or -1 on error and sets errno. The program then uses the descriptor for read, write, or other file operations.
The document discusses different structures used in operating system design, including simple, layered, microkernel, and modular structures. A simple structure has limited separation of interfaces and layers and is constrained by hardware. A layered structure divides an OS into logical layers with lower layers invoking higher layers, providing modularity but potential inefficiency. A microkernel structure moves most functions to user space with message passing between programs and services, allowing for easier extension and portability but more overhead. A modular structure uses loadable modules like device drivers or file systems to create a flexible, object-oriented kernel.
The document discusses operating system design and implementation. It outlines design goals for an operating system including user goals like ease of use and reliability, and system goals which depend on the environment. Implementation is discussed, noting traditionally assembly was used but modern operating systems often use high-level languages like C and C++ due to advantages in development speed, portability and understandability, though assembly is still sometimes used for performance critical routines. Memory management and CPU scheduling are highlighted as important parts of implementation.
Pointer arithmetic allows limited operations on pointers like incrementing, decrementing, addition and subtraction. When a pointer is incremented or decremented, its value changes by the size of the data type. Pointers store addresses, so adding two addresses is illegal as there is no meaning to the result. Subtracting pointers yields the offset between the two addresses. Operations like addition, subtraction on a pointer changes its value based on the data type size. Certain operations like addition of two addresses are illegal for pointers.
From Vibe Coding to Vibe Testing - Complete PowerPoint PresentationShay Ginsbourg
From-Vibe-Coding-to-Vibe-Testing.pptx
Testers are now embracing the creative and innovative spirit of "vibe coding," adopting similar tools and techniques to enhance their testing processes.
Welcome to our exploration of AI's transformative impact on software testing. We'll examine current capabilities and predict how AI will reshape testing by 2025.
Buy vs. Build: Unlocking the right path for your training techRustici Software
Investing in training technology is tough and choosing between building a custom solution or purchasing an existing platform can significantly impact your business. While building may offer tailored functionality, it also comes with hidden costs and ongoing complexities. On the other hand, buying a proven solution can streamline implementation and free up resources for other priorities. So, how do you decide?
Join Roxanne Petraeus and Anne Solmssen from Ethena and Elizabeth Mohr from Rustici Software as they walk you through the key considerations in the buy vs. build debate, sharing real-world examples of organizations that made that decision.
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Adobe InDesign is a professional-grade desktop publishing and layout application primarily used for creating publications like magazines, books, and brochures, but also suitable for various digital and print media. It excels in precise page layout design, typography control, and integration with other Adobe tools.
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Pointer to array and structure
1. Pointer to Array and
Structure
Prepared By: Mr. S. A. Patil
Assistant Professor,PVPIT Budhgaon
2. Pointers to Array
Array is collection elements with same datatype.
When we create an array some memory space is allocated to that array.
So we can create pointer of array also.
By using pointer to array we can access elements of array
4. Access array using pointer
int numbers[5]={10,20,30,40,50};
int *p,i;
p=&numbers; // p=numbers;
for( i=0; i<5 ; i++)
{
printf(“n%d”,*(p+i));
}
5. Pointer to structure
Structure is collection of elements with different datatypes.
When we define any structure we create a user defined datatype of structure type.
Memory is allocated to each structure variable.
We can also create pointer to structure variable.
And access structure by using pointer
7. Access structure elements using pointer
We can access structure elements by using -> operator
Write data into structure variable
printf(“nEnter Roll No:”);
scanf(“%d”,&ptr->roll);
printf(“nEnter Marks:”);
scanf(“%f”,&ptr->marks);
Read structure variable
printf(“nRoll number: %d”,ptr->roll);
printf(“nMarks: %f”,ptr->marks);
8. Pointer to array of structure
It is possible to create pointer to array of structure as regular array.
struct student
{
int roll;
float marks;
};
struct student s[5];
struct student *ptr;
ptr=&s;
9. Access array of structure using pointer
We can access structure elements by using -> operator
Write data into structure variable
for(i=0;i<5;i++)
{
printf(“nEnter Roll No:”);
scanf(“%d”,&ptr->roll);
printf(“nEnter Marks:”);
scanf(“%f”,&ptr->marks);
ptr++;
}
10. Access array of structure using pointer
Read structure variable
for(i=0;i<5;i++)
{
printf(“nRoll number: %d”,ptr->roll);
printf(“nMarks: %f”,ptr->marks);
ptr++;
}