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#rust #asynchronous #networking #rust

Tokio is a powerful tool for writing fast, reliable, and scalable asynchronous applications using the Rust programming language. It offers zero-cost abstractions for bare-metal performance, leverages Rust's ownership and type system to reduce bugs and ensure thread safety, and handles backpressure and cancellation naturally. This makes it ideal for building efficient and robust network servers or clients. By using Tokio, you can create applications that are highly performant, reliable, and easy to maintain. Additionally, Tokio has a supportive community and extensive documentation available to help you get started quickly.

https://github.com/tokio-rs/tokio
#swift #alamofire #carthage #certificate_pinning #cocoapods #httpurlresponse #networking #parameter_encoding #public_key_pinning #request #response #swift #swift_package_manager #urlrequest #urlsession #xcode

Alamofire is a powerful library for making HTTP requests in Swift. It makes networking easier with its simple and concise syntax. You can write complex requests with features like automatic retry, authentication, and response validation in just a few lines of code. Alamofire supports various platforms including iOS, macOS, tvOS, watchOS, and even Linux and Windows, though with some limitations on the latter. It also integrates well with tools like CocoaPods, Carthage, and the Swift Package Manager for easy installation. Using Alamofire helps you manage network requests efficiently and debug them easily, making your development process faster and more reliable.

https://github.com/Alamofire/Alamofire
#cplusplus #cublas #cuda #cudnn #gpu #mlops #networking #nvml #remote_access

SCUDA is a tool that lets you use GPUs from other computers over the internet. This means you can run programs that need powerful GPUs on your local machine, even if it doesn't have one. Here’s how it helps: You can test and develop applications using remote GPUs, train machine learning models from your laptop, perform complex data processing tasks, and even fine-tune pre-trained models without needing a powerful GPU locally. This makes it easier to work with GPUs without having to physically have one, saving time and resources.

https://github.com/kevmo314/scuda