#concurrency

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#java

Comparing Scala, Java, Kotlin, and Go: A Comprehensive Overview

1. JVM languages like Scala, Java, and Kotlin share some underlying mechanics and support OOP principles.
2. Scala integrates both object-oriented and functional programming paradigms, while Java and Kotlin have a similar syntax but with additional features like null safety and extension functions.

Creating a Thread (and Runnable) in Scala

Scala threads are created similarly to Java threads with slight syntax differences.
Java Runnable can be used in Scala to create threads by implementing the run method.

Kotlin for Java developers: Classes and coroutines

Kotlin simplifies class creation and management, enhancing Java developers' workflow with less boilerplate code and stronger flexibility.

What You Need to Know About Virtual Threads in Java

Virtual threads in Java enhance concurrency by enabling scalable and efficient task handling without traditional performance overhead.

Java Thread Pool: How to Efficiently Manage Threads

Thread pools improve efficiency in task execution by reusing threads and managing system resources effectively.

What is the Difference Between "Reader-Writer" Lock and "ReentrantReadWriteLock" in Java: Which Is More Flexible?

Reader-Writer locks allow concurrent reads but exclusive writes; ReentrantReadWriteLock extends this with nested reads and conditional write upgrades.

Comparing Scala, Java, Kotlin, and Go: A Comprehensive Overview

1. JVM languages like Scala, Java, and Kotlin share some underlying mechanics and support OOP principles.
2. Scala integrates both object-oriented and functional programming paradigms, while Java and Kotlin have a similar syntax but with additional features like null safety and extension functions.

Creating a Thread (and Runnable) in Scala

Scala threads are created similarly to Java threads with slight syntax differences.
Java Runnable can be used in Scala to create threads by implementing the run method.

Kotlin for Java developers: Classes and coroutines

Kotlin simplifies class creation and management, enhancing Java developers' workflow with less boilerplate code and stronger flexibility.

What You Need to Know About Virtual Threads in Java

Virtual threads in Java enhance concurrency by enabling scalable and efficient task handling without traditional performance overhead.

Java Thread Pool: How to Efficiently Manage Threads

Thread pools improve efficiency in task execution by reusing threads and managing system resources effectively.

What is the Difference Between "Reader-Writer" Lock and "ReentrantReadWriteLock" in Java: Which Is More Flexible?

Reader-Writer locks allow concurrent reads but exclusive writes; ReentrantReadWriteLock extends this with nested reads and conditional write upgrades.
morejava
#scala

Mastering Functional Programming in Scala: Core Concepts and Best Practices

Scala perfectly blends functional and object-oriented programming, making it an excellent choice for building robust applications.

ETL Process with Scala and Akka Framework (Concurrency, Distributed, and Resilient Systems)

Akka simplifies building concurrent, distributed systems in Scala, focusing on actors for managing state and fault tolerance.

ZIO for Scala........... 101

ZIO provides a type-safe, functional approach to asynchronous and concurrent programming in Scala, facilitating better handling of side effects.

Working with Futures in Scala: A Quick Introduction

Scala's Futures enable efficient asynchronous task handling, crucial for applications with high concurrency demands.

Mastering Functional Programming in Scala: Core Concepts and Best Practices

Scala perfectly blends functional and object-oriented programming, making it an excellent choice for building robust applications.

ETL Process with Scala and Akka Framework (Concurrency, Distributed, and Resilient Systems)

Akka simplifies building concurrent, distributed systems in Scala, focusing on actors for managing state and fault tolerance.

ZIO for Scala........... 101

ZIO provides a type-safe, functional approach to asynchronous and concurrent programming in Scala, facilitating better handling of side effects.

Working with Futures in Scala: A Quick Introduction

Scala's Futures enable efficient asynchronous task handling, crucial for applications with high concurrency demands.
morescala

Ruby on Rails 8 Concurrency Guide: Modern Parallel Processing

Ruby 3's concurrency and parallelism features enable significantly improved performance and scalability in Rails 8 applications.

Ruby Concurrency and Parallelism

Elixir excels in concurrency through ErlangVM, while Ruby has evolved with threads and ractors for parallelism, each catering to different project needs.
#python

Understanding Python's Global Interpreter Lock (GIL) - Real Python

The GIL limits Python's multi-threading performance, causing potential bottlenecks in CPU-bound applications.

Python threading and subprocesses explained

Python enables parallel workloads through threading and multiprocessing, overcoming limitations imposed by the Global Interpreter Lock (GIL).

Understanding Python's Global Interpreter Lock (GIL) - Real Python

The GIL limits Python's multi-threading performance, causing potential bottlenecks in CPU-bound applications.

Python threading and subprocesses explained

Python enables parallel workloads through threading and multiprocessing, overcoming limitations imposed by the Global Interpreter Lock (GIL).
morepython
from LogRocket Blog
4 weeks ago

A deep dive into React Fiber - LogRocket Blog

React Fiber improves rendering performance in React through asynchronous processing and prioritized task execution.
#parallelism

Get started with the free-threaded build of Python 3.13

Python 3.13 introduces a free-threaded version, enabling full concurrency by removing the Global Interpreter Lock, transforming Python's application parallelism.

Concurrency vs Parallelism

Concurrency efficiently manages multiple tasks without blocking, improving resource use, especially during I/O waits.
Parallelism executes multiple tasks simultaneously, enhancing performance in computation-intensive processes.

Intro to multithreaded JavaScript

JavaScript is single-threaded, use web workers/worker threads for true parallelism.

Get started with the free-threaded build of Python 3.13

Python 3.13 introduces a free-threaded version, enabling full concurrency by removing the Global Interpreter Lock, transforming Python's application parallelism.

Concurrency vs Parallelism

Concurrency efficiently manages multiple tasks without blocking, improving resource use, especially during I/O waits.
Parallelism executes multiple tasks simultaneously, enhancing performance in computation-intensive processes.

Intro to multithreaded JavaScript

JavaScript is single-threaded, use web workers/worker threads for true parallelism.
moreparallelism

What is a Race Condition? Causes, Examples, and Solutions

Race conditions occur from concurrent access to shared resources without synchronization, leading to unpredictable program outcomes.
#error-handling

Functional Programming FAQ: What are the benefits of an Effect System, like ZIO?

Effect systems, like ZIO, enhance type safety, error handling, concurrency, and modularity in programming, leading to more predictable and maintainable code.

The Top 25 Golang Interview Questions That'll Make You Question Your Life Choices | HackerNoon

Golang offers unique and efficient features that cater to both beginners and seasoned programmers, making it a popular choice in modern programming.

Functional Programming FAQ: What are the benefits of an Effect System, like ZIO?

Effect systems, like ZIO, enhance type safety, error handling, concurrency, and modularity in programming, leading to more predictable and maintainable code.

The Top 25 Golang Interview Questions That'll Make You Question Your Life Choices | HackerNoon

Golang offers unique and efficient features that cater to both beginners and seasoned programmers, making it a popular choice in modern programming.
moreerror-handling
#swift

Vapor 5 Materializes The Future of Server-Side Development in Swift

Vapor 5 is set to improve server-side Swift development by using structured concurrency and modernizing API functionalities.

Swift Asynchronous Programming Recipes on GitHub

Massicotte's GitHub repo offers solutions and warnings for transitioning to Swift concurrency from GCD.

Vapor 5 Materializes The Future of Server-Side Development in Swift

Vapor 5 is set to improve server-side Swift development by using structured concurrency and modernizing API functionalities.

Swift Asynchronous Programming Recipes on GitHub

Massicotte's GitHub repo offers solutions and warnings for transitioning to Swift concurrency from GCD.
moreswift

What is Fork/Join Framework in Java?

The Fork/Join Framework improves performance in Java by enabling parallel processing of recursively divisible tasks.
#web-development

Promise Flow Control, Concurrency, Libraries, TypeScript and Deferreds - Part 3 - Syntax #774

Discussion on advanced promise concepts like with resolvers, fetch promises, flow control, concurrency, throttling, TypeScript typing, and more.

Go long by generating PDFs in Golang with Maroto - LogRocket Blog

Go is highly efficient for PDF generation, especially in high-volume applications, with libraries like Maroto simplifying the process.

Promise Flow Control, Concurrency, Libraries, TypeScript and Deferreds - Part 3 - Syntax #774

Discussion on advanced promise concepts like with resolvers, fetch promises, flow control, concurrency, throttling, TypeScript typing, and more.

Go long by generating PDFs in Golang with Maroto - LogRocket Blog

Go is highly efficient for PDF generation, especially in high-volume applications, with libraries like Maroto simplifying the process.
moreweb-development

Rust 1.80 Adds Support for Lazy Statics, Extends Ranges in Patterns, and More

Rust 1.80 stabilizes LazyCell and LazyLock for lazy initialization of data, exclusive ranges, and variadic functions without named parameters.

Implement A Concurrent Queue in Cats Effect

Develop a concurrent queue using cats.effect.std constructs to manage offer and take operations with semantic blocking.

Threads, ThreadPools and Executors-Multi Thread Processing In Java

Provides detailed insights into various implementations of Java's Executor interface and their relationships, highlighting specific use cases.

Safe direct-style Scala: Ox 0.1.0 released | SoftwareMill

Ox project 0.1.0 release offers safe direct-style concurrency and resiliency for Scala on the JVM.

Actix Web adoption guide: Overview, examples, and alternatives - LogRocket Blog

Actix Web is a high-performance Rust microframework leveraging the Actor model for concurrency.
Actix Web outperformed 360 web frameworks in a TechEmpower benchmark, showcasing its efficiency and high performance.

Revolutionizing Angular Development with - AIA 405

RxFX library simplifies observable and effect handling
Exploring complexities of loading states and effects in app development

Apache Pekko: Simplifying Concurrent Development With the Actor Model

Pekko is an open-source framework that simplifies the development of concurrent, distributed, resilient, and elastic applications.
Pekko leverages the Actor Model to provide high-level abstractions for concurrency and enables transparent remote communication capabilities.
#multithreading

Thread in Java [Complete Guide]

A Java thread is a path followed during program execution, critical for concurrent tasks and performance improvement.

Multithreading in Node.js with worker threads - LogRocket Blog

Node.js v10.5.0 introduced the worker_threads module, which allows for multithreading in Node.js.
JavaScript was initially single-threaded, but Node.js introduced asynchronous I/O to enable concurrency without the complexity of multithreading.

Thread in Java [Complete Guide]

A Java thread is a path followed during program execution, critical for concurrent tasks and performance improvement.

Multithreading in Node.js with worker threads - LogRocket Blog

Node.js v10.5.0 introduced the worker_threads module, which allows for multithreading in Node.js.
JavaScript was initially single-threaded, but Node.js introduced asynchronous I/O to enable concurrency without the complexity of multithreading.
moremultithreading

Understanding Concurrency Patterns in Go | HackerNoon

Concurrency is a key feature of Go for developing efficient multicore applications using goroutines and channels.

What is Rust Programming Language?

Rust is a systems programming language known for its safety, performance, and concurrency features.
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