This document discusses threads and multithreaded programming. It covers thread libraries like Pthreads, Windows threads and Java threads. It discusses implicit threading using thread pools and OpenMP. Issues with multithreaded programming like signal handling, thread cancellation and thread-local storage are examined. Operating system support for threads on Windows and Linux is also overviewed.
This document discusses threads and multithreaded programming. It covers thread libraries like Pthreads, Windows threads and Java threads. It also discusses implicit threading using thread pools, OpenMP and Grand Central Dispatch. Issues with multithreaded programming like signal handling, thread cancellation and thread-local storage are examined. Finally, thread implementation in Windows and Linux is overviewed.
This document summarizes key concepts from Chapter 4 of the textbook "Operating System Concepts - 9th Edition" about threads. It discusses how threads allow applications to take advantage of multicore systems through parallelism and concurrency. Different threading models like many-to-one, one-to-one, and many-to-many are described based on how user threads map to kernel threads. Popular thread libraries like POSIX pthreads and how they provide APIs for thread creation and synchronization are also covered. The document concludes with sections on implicit threading, threading issues, and thread cancellation approaches.
This chapter discusses threads and multithreading. It covers thread models like many-to-one, one-to-one and many-to-many. It describes popular thread libraries like Pthreads, Windows threads and Java threads. It also discusses implicit threading techniques like thread pools, OpenMP and Grand Central Dispatch. Finally, it examines issues in multithreaded programming like signal handling and thread cancellation.
Threads are using in operating systems.pptxMAmir53
The document discusses threads and multithreading concepts from the 8th edition of the textbook "Operating System Concepts". It covers an overview of threads, multithreading models including user-level and kernel-level threads, common thread libraries like POSIX Pthreads and Win32, and threading issues like cancellation and semantics of fork(), exec(), and exit() calls.
This document summarizes a chapter on threads and concurrency from the textbook "Operating System Concepts". It begins with an overview and objectives of the chapter, then discusses topics like multithreading models, thread libraries, implicit threading approaches, threading issues and examples from Windows and Linux operating systems. Code examples are provided for various threading APIs like Pthreads, Windows threads and Java threads. Implicit threading methods like thread pools, fork-join and Grand Central Dispatch are also summarized.
The document discusses threads and concurrency in operating systems. It covers topics like multicore programming, multithreading models, thread libraries, implicit threading and threading issues. It provides examples of thread implementations in Windows, Linux, Pthreads and Java. Different multithreading approaches like many-to-one, one-to-one and many-to-many models are explained. Implicit threading techniques like thread pools and fork-join parallelism are also summarized along with code examples.
This document summarizes key concepts from Chapter 4 of the textbook "Operating System Concepts - 10th Edition" about threads and concurrency. It begins with an overview and objectives of the chapter, then discusses the motivation for multithreading. It describes different multithreading models including many-to-one, one-to-one, and many-to-many. Common thread libraries like Pthreads, Windows threads, and Java threads are covered. The document also summarizes implicit threading approaches such as thread pools, fork-join, OpenMP, Grand Central Dispatch, and Intel TBB. Finally, it discusses threading issues involving signals, cancellation, storage, and activations.
Operating Systems - "Chapter 4: Multithreaded Programming"Ra'Fat Al-Msie'deen
This chapter discusses multithreaded programming and threads. It defines a thread as the basic unit of CPU utilization that allows multiple tasks to run concurrently within a process by sharing the process's resources. Different threading models like many-to-one, one-to-one, and many-to-many are described based on how user threads map to kernel threads. Common thread libraries for POSIX, Windows, and Java are also covered. The chapter examines issues in multithreaded programming and provides examples of how threads are implemented in Windows and Linux.
This document discusses threads and multithreaded programming. It covers thread libraries like Pthreads, Windows threads and Java threads. It also discusses implicit threading using thread pools, OpenMP and Grand Central Dispatch. Issues with multithreaded programming like signal handling, thread cancellation and thread-local storage are examined. Finally, thread implementation in Windows and Linux is overviewed.
This document summarizes key concepts from Chapter 4 of the textbook "Operating System Concepts - 9th Edition" about threads. It discusses how threads allow applications to take advantage of multicore systems through parallelism and concurrency. Different threading models like many-to-one, one-to-one, and many-to-many are described based on how user threads map to kernel threads. Popular thread libraries like POSIX pthreads and how they provide APIs for thread creation and synchronization are also covered. The document concludes with sections on implicit threading, threading issues, and thread cancellation approaches.
This chapter discusses threads and multithreading. It covers thread models like many-to-one, one-to-one and many-to-many. It describes popular thread libraries like Pthreads, Windows threads and Java threads. It also discusses implicit threading techniques like thread pools, OpenMP and Grand Central Dispatch. Finally, it examines issues in multithreaded programming like signal handling and thread cancellation.
Threads are using in operating systems.pptxMAmir53
The document discusses threads and multithreading concepts from the 8th edition of the textbook "Operating System Concepts". It covers an overview of threads, multithreading models including user-level and kernel-level threads, common thread libraries like POSIX Pthreads and Win32, and threading issues like cancellation and semantics of fork(), exec(), and exit() calls.
This document summarizes a chapter on threads and concurrency from the textbook "Operating System Concepts". It begins with an overview and objectives of the chapter, then discusses topics like multithreading models, thread libraries, implicit threading approaches, threading issues and examples from Windows and Linux operating systems. Code examples are provided for various threading APIs like Pthreads, Windows threads and Java threads. Implicit threading methods like thread pools, fork-join and Grand Central Dispatch are also summarized.
The document discusses threads and concurrency in operating systems. It covers topics like multicore programming, multithreading models, thread libraries, implicit threading and threading issues. It provides examples of thread implementations in Windows, Linux, Pthreads and Java. Different multithreading approaches like many-to-one, one-to-one and many-to-many models are explained. Implicit threading techniques like thread pools and fork-join parallelism are also summarized along with code examples.
This document summarizes key concepts from Chapter 4 of the textbook "Operating System Concepts - 10th Edition" about threads and concurrency. It begins with an overview and objectives of the chapter, then discusses the motivation for multithreading. It describes different multithreading models including many-to-one, one-to-one, and many-to-many. Common thread libraries like Pthreads, Windows threads, and Java threads are covered. The document also summarizes implicit threading approaches such as thread pools, fork-join, OpenMP, Grand Central Dispatch, and Intel TBB. Finally, it discusses threading issues involving signals, cancellation, storage, and activations.
Operating Systems - "Chapter 4: Multithreaded Programming"Ra'Fat Al-Msie'deen
This chapter discusses multithreaded programming and threads. It defines a thread as the basic unit of CPU utilization that allows multiple tasks to run concurrently within a process by sharing the process's resources. Different threading models like many-to-one, one-to-one, and many-to-many are described based on how user threads map to kernel threads. Common thread libraries for POSIX, Windows, and Java are also covered. The chapter examines issues in multithreaded programming and provides examples of how threads are implemented in Windows and Linux.
The document discusses threads and threading models in operating systems. It defines a thread as the basic unit of CPU utilization comprising a thread ID, program counter, and register set. It describes single-threaded and multithreaded processes, benefits of multithreading, and concurrent/parallel execution. It also covers user threads, kernel threads, threading libraries like Pthreads and Java threads, and threading issues around fork(), exec(), signals, thread pools and more. It provides examples of threading in Windows XP and Linux.
This document discusses threads and threading models in operating systems. It covers that most modern applications are multithreaded, with threads running within processes to perform multiple concurrent tasks. Thread creation has lower overhead than process creation. There are three main threading models: many-to-one maps many user threads to one kernel thread; one-to-one maps each user thread to its own kernel thread to allow more concurrency; and many-to-many allows flexible mapping of user to kernel threads.
operating systems , ch-04 third level, Faculity of Applied Scinces, Seiyun University. انظمة التشغيل لطلاب المستوى الثالث بكلية الحاسبات بجامعة سيئون المحاضرة 04
1. The document discusses threads and multithreaded programming. It covers thread models like many-to-one, one-to-one, and many-to-many. It also discusses common thread libraries like Pthreads, Windows threads, and Java threads.
2. Issues with multithreaded programming like signal handling, thread cancellation, and thread-local storage are examined. Examples of thread implementations on Windows and Linux are provided.
3. The benefits of multithreading include increased responsiveness, resource sharing, and allowing applications to take advantage of multicore processors. Implicit threading techniques like thread pools, OpenMP, and Grand Central Dispatch are also covered.
This document discusses threads and concurrency in operating systems. It covers key concepts like threads, processes, multithreading models and threading APIs. The benefits of multithreading like responsiveness and resource sharing are outlined. Common threading approaches like thread pools and fork-join parallelism are described. Programming interfaces for threads in POSIX (Pthreads), Windows and Java are summarized.
A document about TCP/IP and OSI would typically cover two major networking models: the TCP/IP model and the OSI model. These models are both conceptual frameworks that describe the layers of communication protocols that are necessary for data to be transmitted over a network.
The TCP/IP model is a four-layer model that is used by the Internet. It includes the Application layer, Transport layer, Internet layer, and Network Access layer. Each layer has a specific function, such as providing application-level services, ensuring reliable data transmission, routing packets over the Internet, and controlling the physical transmission of data over the network.
The OSI model, on the other hand, is a seven-layer model that was developed by the International Organization for Standardization (ISO). It includes the Application layer, Presentation layer, Session layer, Transport layer, Network layer, Data Link layer, and Physical layer. Each layer in this model also has a specific function, such as formatting data for presentation, managing communication sessions between network nodes, and managing physical connections between network devices.
In a document about TCP/IP and OSI, you might find information on the similarities and differences between the two models, the advantages and disadvantages of each model, and examples of how each model is used in real-world networking scenarios. You might also find information on specific protocols that are used within each model, such as TCP, UDP, IP, and Ethernet, and how these protocols work together to facilitate communication between network devices.
Threads are lightweight execution paths that allow an application to perform multiple tasks concurrently. The document discusses alternatives to threads like operation objects, Grand Central Dispatch, idle-time notifications, asynchronous functions, and timers that provide concurrency without explicit thread management. It also covers threading terminology and the technologies provided by OS X for thread creation, management, and synchronization like NSThread, POSIX threads, run loops, locks, conditions, and atomic operations.
This document discusses topics related to multicore programming and multithreading. It covers multicore programming models, multithreading models including many-to-many, many-to-one, and one-to-one. It also discusses thread libraries, implicit threading using OpenMP, and issues to consider for multithreaded programs such as fork/exec calls, signal handling, and cancellation.
This document provides an overview of memory management techniques in operating systems, including segmentation and paging. It discusses segmentation, where memory is divided into logical segments of variable sizes. Paging is also covered, where memory is divided into fixed-size pages that can be placed non-contiguously in physical memory frames. The document describes segmentation and paging hardware, address translation, and protection mechanisms. It provides examples of memory management on Intel and ARM architectures.
This document provides an overview of memory management techniques in operating systems, including swapping, contiguous allocation, segmentation, and paging. It discusses how logical and physical addresses are mapped and protected through the use of base and limit registers, and how context switch time can be impacted by swapping processes in and out of memory. Modern operating systems commonly use paging instead of swapping to manage memory.
Memory management is the functionality of an operating system which handles or manages primary memory and moves processes back and forth between main memory and disk during execution. Memory management keeps track of each and every memory location, regardless of either it is allocated to some process or it is free. It checks how much memory is to be allocated to processes. It decides which process will get memory at what time. It tracks whenever some memory gets freed or unallocated and correspondingly it updates the status.
This document provides an overview of memory management techniques in operating systems, including segmentation and paging. It discusses segmentation, where memory is divided into logical segments of variable sizes. Paging is also covered, where memory is divided into fixed-size pages that can be placed non-contiguously in physical memory frames. The document describes segmentation and paging hardware support, and how logical addresses are translated to physical addresses using segment tables for segmentation or page tables for paging. Memory allocation strategies like contiguous allocation and dynamic storage allocation are also summarized.
This document provides an overview of memory management techniques in operating systems, including swapping, contiguous allocation, segmentation, and paging. It discusses how programs are loaded into memory to execute, and the differences between logical and physical addresses. Key concepts covered include memory protection using base and limit registers, dynamic relocation of addresses, dynamic linking of libraries, and the role of the memory management unit in mapping virtual to physical addresses. Context switch times are also discussed in the context of swapping processes in and out of memory.
This document provides an overview of memory management techniques in operating systems, including swapping, contiguous allocation, segmentation, and paging. It discusses how programs are loaded into memory to execute, and the differences between logical and physical addresses. Key concepts covered include memory protection using base and limit registers, dynamic relocation of addresses, dynamic linking of libraries, and the role of the memory management unit in mapping virtual to physical addresses. Context switch times are also discussed in the context of swapping processes in and out of memory.
This document provides an overview of memory management techniques in operating systems, including segmentation and paging. It discusses segmentation, where memory is divided into logical segments of variable sizes. Paging is also covered, where memory is divided into fixed-size pages that can be placed non-contiguously in physical memory frames. The document describes segmentation and paging hardware support, and how logical addresses are translated to physical addresses using segment tables for segmentation or page tables for paging. Memory allocation strategies like contiguous allocation and dynamic storage allocation are also summarized.
The Council of Architecture (COA) has been constituted by the Government of I...OvhayKumar1
This document provides an overview of memory management techniques in operating systems, including segmentation and paging. It discusses segmentation, where memory is divided into logical segments of variable sizes. Paging is also covered, where memory is divided into fixed-size pages that can be placed non-contiguously in physical memory frames. The document describes segmentation and paging hardware, address translation, and protection mechanisms. It provides examples of memory management on Intel and ARM architectures.
This document provides an overview of memory management techniques in operating systems, including swapping, contiguous allocation, segmentation, and paging. It discusses how logical and physical addresses are mapped and protected through the use of base and limit registers, and how context switch time can be impacted by swapping processes in and out of memory. Modern operating systems commonly use paging instead of swapping to manage memory.
Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.
Revolutionizing Visual Effects Mastering AI Face Swaps.pdfUndress Baby
The quest for the best AI face swap solution is marked by an amalgamation of technological prowess and artistic finesse, where cutting-edge algorithms seamlessly replace faces in images or videos with striking realism. Leveraging advanced deep learning techniques, the best AI face swap tools meticulously analyze facial features, lighting conditions, and expressions to execute flawless transformations, ensuring natural-looking results that blur the line between reality and illusion, captivating users with their ingenuity and sophistication.
Web:- https://undressbaby.com/
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
The document discusses threads and threading models in operating systems. It defines a thread as the basic unit of CPU utilization comprising a thread ID, program counter, and register set. It describes single-threaded and multithreaded processes, benefits of multithreading, and concurrent/parallel execution. It also covers user threads, kernel threads, threading libraries like Pthreads and Java threads, and threading issues around fork(), exec(), signals, thread pools and more. It provides examples of threading in Windows XP and Linux.
This document discusses threads and threading models in operating systems. It covers that most modern applications are multithreaded, with threads running within processes to perform multiple concurrent tasks. Thread creation has lower overhead than process creation. There are three main threading models: many-to-one maps many user threads to one kernel thread; one-to-one maps each user thread to its own kernel thread to allow more concurrency; and many-to-many allows flexible mapping of user to kernel threads.
operating systems , ch-04 third level, Faculity of Applied Scinces, Seiyun University. انظمة التشغيل لطلاب المستوى الثالث بكلية الحاسبات بجامعة سيئون المحاضرة 04
1. The document discusses threads and multithreaded programming. It covers thread models like many-to-one, one-to-one, and many-to-many. It also discusses common thread libraries like Pthreads, Windows threads, and Java threads.
2. Issues with multithreaded programming like signal handling, thread cancellation, and thread-local storage are examined. Examples of thread implementations on Windows and Linux are provided.
3. The benefits of multithreading include increased responsiveness, resource sharing, and allowing applications to take advantage of multicore processors. Implicit threading techniques like thread pools, OpenMP, and Grand Central Dispatch are also covered.
This document discusses threads and concurrency in operating systems. It covers key concepts like threads, processes, multithreading models and threading APIs. The benefits of multithreading like responsiveness and resource sharing are outlined. Common threading approaches like thread pools and fork-join parallelism are described. Programming interfaces for threads in POSIX (Pthreads), Windows and Java are summarized.
A document about TCP/IP and OSI would typically cover two major networking models: the TCP/IP model and the OSI model. These models are both conceptual frameworks that describe the layers of communication protocols that are necessary for data to be transmitted over a network.
The TCP/IP model is a four-layer model that is used by the Internet. It includes the Application layer, Transport layer, Internet layer, and Network Access layer. Each layer has a specific function, such as providing application-level services, ensuring reliable data transmission, routing packets over the Internet, and controlling the physical transmission of data over the network.
The OSI model, on the other hand, is a seven-layer model that was developed by the International Organization for Standardization (ISO). It includes the Application layer, Presentation layer, Session layer, Transport layer, Network layer, Data Link layer, and Physical layer. Each layer in this model also has a specific function, such as formatting data for presentation, managing communication sessions between network nodes, and managing physical connections between network devices.
In a document about TCP/IP and OSI, you might find information on the similarities and differences between the two models, the advantages and disadvantages of each model, and examples of how each model is used in real-world networking scenarios. You might also find information on specific protocols that are used within each model, such as TCP, UDP, IP, and Ethernet, and how these protocols work together to facilitate communication between network devices.
Threads are lightweight execution paths that allow an application to perform multiple tasks concurrently. The document discusses alternatives to threads like operation objects, Grand Central Dispatch, idle-time notifications, asynchronous functions, and timers that provide concurrency without explicit thread management. It also covers threading terminology and the technologies provided by OS X for thread creation, management, and synchronization like NSThread, POSIX threads, run loops, locks, conditions, and atomic operations.
This document discusses topics related to multicore programming and multithreading. It covers multicore programming models, multithreading models including many-to-many, many-to-one, and one-to-one. It also discusses thread libraries, implicit threading using OpenMP, and issues to consider for multithreaded programs such as fork/exec calls, signal handling, and cancellation.
This document provides an overview of memory management techniques in operating systems, including segmentation and paging. It discusses segmentation, where memory is divided into logical segments of variable sizes. Paging is also covered, where memory is divided into fixed-size pages that can be placed non-contiguously in physical memory frames. The document describes segmentation and paging hardware, address translation, and protection mechanisms. It provides examples of memory management on Intel and ARM architectures.
This document provides an overview of memory management techniques in operating systems, including swapping, contiguous allocation, segmentation, and paging. It discusses how logical and physical addresses are mapped and protected through the use of base and limit registers, and how context switch time can be impacted by swapping processes in and out of memory. Modern operating systems commonly use paging instead of swapping to manage memory.
Memory management is the functionality of an operating system which handles or manages primary memory and moves processes back and forth between main memory and disk during execution. Memory management keeps track of each and every memory location, regardless of either it is allocated to some process or it is free. It checks how much memory is to be allocated to processes. It decides which process will get memory at what time. It tracks whenever some memory gets freed or unallocated and correspondingly it updates the status.
This document provides an overview of memory management techniques in operating systems, including segmentation and paging. It discusses segmentation, where memory is divided into logical segments of variable sizes. Paging is also covered, where memory is divided into fixed-size pages that can be placed non-contiguously in physical memory frames. The document describes segmentation and paging hardware support, and how logical addresses are translated to physical addresses using segment tables for segmentation or page tables for paging. Memory allocation strategies like contiguous allocation and dynamic storage allocation are also summarized.
This document provides an overview of memory management techniques in operating systems, including swapping, contiguous allocation, segmentation, and paging. It discusses how programs are loaded into memory to execute, and the differences between logical and physical addresses. Key concepts covered include memory protection using base and limit registers, dynamic relocation of addresses, dynamic linking of libraries, and the role of the memory management unit in mapping virtual to physical addresses. Context switch times are also discussed in the context of swapping processes in and out of memory.
This document provides an overview of memory management techniques in operating systems, including swapping, contiguous allocation, segmentation, and paging. It discusses how programs are loaded into memory to execute, and the differences between logical and physical addresses. Key concepts covered include memory protection using base and limit registers, dynamic relocation of addresses, dynamic linking of libraries, and the role of the memory management unit in mapping virtual to physical addresses. Context switch times are also discussed in the context of swapping processes in and out of memory.
This document provides an overview of memory management techniques in operating systems, including segmentation and paging. It discusses segmentation, where memory is divided into logical segments of variable sizes. Paging is also covered, where memory is divided into fixed-size pages that can be placed non-contiguously in physical memory frames. The document describes segmentation and paging hardware support, and how logical addresses are translated to physical addresses using segment tables for segmentation or page tables for paging. Memory allocation strategies like contiguous allocation and dynamic storage allocation are also summarized.
The Council of Architecture (COA) has been constituted by the Government of I...OvhayKumar1
This document provides an overview of memory management techniques in operating systems, including segmentation and paging. It discusses segmentation, where memory is divided into logical segments of variable sizes. Paging is also covered, where memory is divided into fixed-size pages that can be placed non-contiguously in physical memory frames. The document describes segmentation and paging hardware, address translation, and protection mechanisms. It provides examples of memory management on Intel and ARM architectures.
This document provides an overview of memory management techniques in operating systems, including swapping, contiguous allocation, segmentation, and paging. It discusses how logical and physical addresses are mapped and protected through the use of base and limit registers, and how context switch time can be impacted by swapping processes in and out of memory. Modern operating systems commonly use paging instead of swapping to manage memory.
Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.
Revolutionizing Visual Effects Mastering AI Face Swaps.pdfUndress Baby
The quest for the best AI face swap solution is marked by an amalgamation of technological prowess and artistic finesse, where cutting-edge algorithms seamlessly replace faces in images or videos with striking realism. Leveraging advanced deep learning techniques, the best AI face swap tools meticulously analyze facial features, lighting conditions, and expressions to execute flawless transformations, ensuring natural-looking results that blur the line between reality and illusion, captivating users with their ingenuity and sophistication.
Web:- https://undressbaby.com/
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
What is Augmented Reality Image Trackingpavan998932
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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https://sumonreview.com/ai-fusion-buddy-review
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✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
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✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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#HowDoesAIFusionBuddyWorks
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
Discover the benefits and implementation of SMS API integration in the UAE and Middle East. This comprehensive guide covers the importance of SMS messaging APIs, the advantages of bulk SMS APIs, and real-world case studies. Learn how CEQUENS, a leader in communication solutions, can help your business enhance customer engagement and streamline operations with innovative CPaaS, reliable SMS APIs, and omnichannel solutions, including WhatsApp Business. Perfect for businesses seeking to optimize their communication strategies in the digital age.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E