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The State Of The Nintendo Switch In 2024

The Nintendo Switch will release its successor, the Switch 2, in the next few months.
In 2024, the Switch struggled to run games on its almost-eight-year-old hardware.
2024 brought no major changes to the Switch itself or any significant game releases.
The Switch 2 is expected to be a more straightforward upgrade than previous consoles.
The eShop is poorly optimized and the interface feels cluttered.
Nintendo spent most of 2024 trying to stop Switch emulation enthusiasts and ROM pirates.
Switch Online expanded to include Game Boy Advance classics.
Switch's 2024 catalog was a mix of remakes and smaller spin-offs with indie games filling the gaps.
The hardware's ability to deliver a seamless gaming experience has eroded over time,
Despite the Switch's shortcomings, its current catalog has an incredible breadth and variety.

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Medium

278

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Using Alloy to interact with Ethereum smart-contracts in Rust

Alloy is a new library for interacting with Ethereum smart-contracts.
Alloy is a high-performance rewrite of the ethers-rs project that has exciting new features and excellent documentation.
The ethers-rs project is being deprecated in favor of Alloy.
Developers who used the web3 and ethers crates for handling contract events, will now find a better dev experience with Alloy.
Alloy’s well-crafted documentation and examples significantly reduce learning curves and enhance productivity.
Alloy comes with examples of different use cases to help developers get started.
Rust developers grappling with the lack of robust and well-established library ecosystems can now protect their project timelines, stability, and overall developer experience with Alloy library.
In this article, the author demonstrates how to use a Rust CLI app built with the Alloy library to fetch Ethereum Name Service (ENS) data.
The author used the Axum web framework for building the Rust CLI app with Alloy library.
Examples of how to work with Ethereum smart-contracts can be found on Alloy library's Github repository.

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Javacodegeeks

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JMeter vs. Gatling: Which Tool Is Better for Modern Load Testing?

Load testing is a critical aspect of performance engineering, ensuring that your application can handle the expected user load while maintaining stability.
Apache JMeter and Gatling are two popular tools for load and performance testing, but they have differences in performance, ease of use, and scripting.
JMeter uses a multi-threaded model and supports various protocols, but its performance can degrade with increasing virtual users.
Gatling, designed for high-performance scenarios, handles more users with less resource consumption and provides efficient scripting using Scala.

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Medium

325

SEMANTIC ACTIONS IN COMPILER DESIGN What are Semantic Actions?

Semantic actions are an integral part of the compilation process.
They bridge the gap between the syntactic structure of a program and its actual meaning.
Semantic actions for building AST involve creating AST nodes and storing subtrees.
Efficiency, clarity, and error handling are key considerations for semantic actions.

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Dev

158

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20 Essential Tools to Empower Your Node.js Development in 2025

Node.js is a powerful JavaScript runtime environment that has cemented its place as a top choice for building scalable and dynamic applications.
For optimum productivity and code quality, it is important to have the right tools to support your Node.js development journey.
Choosing the right development environment, such as Visual Studio Code or WebStorm, can impact your development workflow significantly.
Managing task automation and build processes is essential, with tools such as Gulp and Webpack.
Robust and reliable Node.js applications require thorough testing, consider using frameworks such as Jest or Mocha.
Static Site Generators (SSGs) can offer performance and SEO benefits for content-heavy websites, with options like Next.js or Gatsby.
API development tools, such as Express.js and Fastify, can help build robust APIs.
Debugger tools, such as Node Inspector or Debugger.js, can help identify and fix bugs in your code.
Performance monitoring tools, such as PM2 and AppDynamics, can help optimize your application's performance.
Automating build, test, and deployment processes can save time and ensure consistency, with tools such as Travis CI or CircleCI.

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Medium

338

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Building a CLI Task Tracker with Go: My Learning Journey

The author shares their journey of learning Go by building a CLI Task Tracker.
They initially struggled with the concept of a CLI but gained confidence through experimentation.
They made mistakes by using incorrect approaches for input handling and file operations.
The project taught the importance of starting small, learning from mistakes, and exploring Go's ecosystem.

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Javacodegeeks

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Getting Started with the Java S3Proxy Library

S3Proxy is an open-source and highly customizable proxy server that enables developers to emulate Amazon S3 storage locally.
With S3Proxy, we can integrate backend storage systems like local filesystems or databases and access them using the same S3 API calls your application uses in production.
S3Proxy acts as a middleware between our application and various storage backends by emulating the Amazon S3 API.
To use S3Proxy in your Java project, include the s3proxy and AWS SDK for S3 dependencies in your Maven project configuration.
S3Proxy provides a locally hosted endpoint that emulates the Amazon S3 API whereas the AWS SDK for S3 provides the tools to interact with this endpoint as though it were a real S3 service.
By running S3Proxy locally, developers can emulate S3 interactions without needing access to AWS.
The article includes an example to configure and use S3Proxy for Java applications along with detailed explanation of the code.
S3Proxy supports other storage backends, including Google Cloud Storage, OpenStack Swift, Microsoft Azure Blob Storage, and Ceph RADOS Gateway.
S3Proxy is a versatile solution for integrating and testing with various storage systems.
The article concludes by discussing how S3Proxy helps in building and testing S3-compatible applications without incurring AWS costs or requiring an active internet connection.

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4 Likes

Medium

154

Demystifying Recursion in Programming

Recursion in programming can be used to solve complex problems by breaking them down into smaller subproblems.
One classic example of recursion is calculating the nth number in the Fibonacci sequence using the formula fₙ = fₙ₋₁ + fₙ₋₂.
However, recursion requires a base case to stop the recursion and avoid infinite loops.
In the case of the Fibonacci sequence, the base case is defined as f₀ = 0 and f₁ = 1.

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Dev

261

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Create a Footer with the Help of HTML and CSS

A well-designed footer is a crucial component of any website.
The HTML footer section provides essential information and contributes to the overall user experience.
To create a footer, you can structure it using HTML and style it with CSS.
Follow best practices such as simplicity, responsiveness, including social media links, and testing the design.

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Dev

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Advanced Rust Programming: From Zero to Hero

This article explores advanced concepts in Rust that will take your programming skills to the next level, including advanced ownership patterns, associated types, async/await patterns for concurrent programming, working with custom error types, safe abstractions over unsafe code, and property-based testing with QuickCheck.
One of the advanced ownership patterns discussed is the implementation of custom smart pointers with reference counting to manage access to a value.
The article also covers zero-copy parsing with lifetime management as an example of efficient string parsing without allocations.
In the section on advanced trait patterns, associated types and generic traits are discussed, and a complex trait relationship is explained.
For advanced concurrency topics, async/await patterns for modern asynchronous programming in Rust are covered with a code snippet that demonstrates this.
Custom error types are discussed, with suggestions for creating rich error types with proper error handling.
Working with unsafe code safely is also explained, including creating safe abstractions over unsafe code.
Property-based testing with QuickCheck is also introduced as a means of ensuring robust testing.
The article concludes by noting that these advanced Rust patterns showcase the language's powerful features for building safe, concurrent, and efficient systems, and mastering them will help developers write robust Rust applications that leverage the full potential of the language.
Resources for readers who want to learn more about Rust are also provided, including The Rust Programming Language book, asynchronous programming in Rust, and The Rustonomicon.

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Dev

295

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Serverless Observability with AWS Lambda Powertools and AWS CDK

This guide demonstrates how to use AWS CDK to deploy a Lambda function with AWS Lambda Powertools for TypeScript.
It enables structured logging, distributed tracing (via AWS X-Ray), and custom metrics while automating infrastructure provisioning.
The CDK project sets up the necessary dependencies and contains the Lambda code.
Overall, AWS Lambda Powertools and AWS CDK simplify observability and automation for serverless applications.

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17 Likes

Medium

300

The Dance of Chaos: Unraveling the Lorenz Attractors

The Lorenz attractor is a mathematical concept that represents the unpredictability of chaotic systems.
Initially used for weather modeling, it now finds applications in physics, biology, and financial modeling.
Engineers use Lorenz-inspired systems to optimize aerodynamics and cryptographers explore their use in secure communications.
The Lorenz attractor serves as a metaphor for life's unpredictable nature and reminds us to embrace uncertainty.

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Medium

235

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Comparing consistent vs. rendezvous hashing for hashing server data

In this article the author discusses two approaches for hashing data on a server- consistent and rendezvous hashing.
When using traditional approaches like dividing by the number of nodes, the mappings break when a node quits or if a new comes up.
Consistent hashing comes in where physical nodes are mapped to virtual nodes, thereby allowing redistribution of load when nodes quit or new ones are added.
The author also discusses rendezvous hashing which distributes keys across nodes and allows natural replication.
Rendezvous hashing counts two hashes instead of one and selects the node with the highest hash.
Both consistent and rendezvous hashing have pros and cons, and the author notes that the approach chosen depends on the needs and nature of the system.
Rendezvous hashing sacrifices algorithmic complexity for simplicity and other advantages, and consistent hashing allows manual load balancing.
Consistent hashing also provides the option of transfer of virtual nodes, while rendezvous hashing does not.
The author concludes that rendezvous hashing's approach of uniform distribution and simple replication makes it an attractive option.
The article highlights the nuances of both hashing methods and will enable one in choosing their approach with a more careful eye.

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Dev

188

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Mastering Python Async IO with FastAPI

FastAPI is an asynchronous Python framework that improves the concurrent processing ability of I/O-intensive tasks
FastAPI uses asynchronous I/O via coroutines and event loops, allowing threads to pause when encountering I/O operations
FastAPI is ideal for I/O-intensive back-end development and can greatly enhance concurrent processing capabilities
Using FastAPI for back-end development can improve concurrent processing ability over Java + Spring
Leapcell is a cloud computing platform designed specifically for modern distributed applications
Leapcell offers pay-as-you-go pricing, meaning users only pay for the resources they actually use
The platform supports JavaScript, Python, Go, or Rust for development
Leapcell's platform offers simple developer experience and automated CI/CD pipelines and GitOps integration
Leapcell provides effortless scalability and high performance, handling high concurrency with ease
Leapcell's pay-as-you-go pricing model guarantees unmatched cost-effectiveness and no idle charges

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Logrocket

304

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Navigation guards in Nuxt 3 with defineNuxtRouteMiddleware

Navigation guards are used to control what features of an application authorized users can access.
Navigation guards ensure security and improves user experience by keeping your app safe and efficient.
In Nuxt, middleware are special functions that run before your page is rendered, making it ideal for implementing navigation guards.
There are three types of middleware in Nuxt: anonymous, named, and global.
Anonymous middleware is middleware that’s defined inside a page whereas named middleware is defined in a standalone file in the middleware directory, and can be run on multiple pages.
Global middleware utility should be used sparingly as it runs every time the user accesses any page under its domain.
Middleware executes in the predefined order as global middleware, and followed by middleware defined in the middleware array of definePageMeta.
You should write navigation guards as a lean and pure function.
There is a danger of creating an infinite loop while writing navigation guards if not careful.
By efficiently implementing navigation guards, you can ensure smooth and effective navigation throughout your app.

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