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stefansf.de
| | tmandry.gitlab.io
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| | In Part 1, we covered how async fns in Rust are compiled to state machines. We saw that the internal compiler implementation uses generators and the yield statement to facilitate this transformation. We also saw that the optimal way to lay out one of these state machines in memory is using an enum-like representation, similar to the following: enum SumGenerator{Unresumed{xs: Vec},Suspend0{xs: Vec,iter0: Iter<'self,i32>,sum: i32 },Suspend1{xs: Vec,iter1: Iter<'self,i32>,sum: i32 },Returned}Each variable s...
| | www.baturin.org
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| | [AI summary] The user has provided a comprehensive guide to OCaml programming, covering basic syntax, expressions, bindings, functions, and arithmetic operations. The guide includes examples of how to structure programs, use let-bindings, handle multiple expressions, and perform conversions between temperature units. It also touches on concepts like variable shadowing and the importance of type consistency in OCaml. The user has included exercises at the end, asking the reader to write programs for squaring integers and converting Celsius to Fahrenheit.
| | www.industrialempathy.com
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| | The Context Tree Design Pattern is broadly used in framework design and fascinatingly appears in seemingly unrelated applications...
| | blog.yoshuawuyts.com
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| [AI summary] The article explores the capabilities and benefits of async Rust, emphasizing its unique features such as concurrency, cancellation, and control over execution. It discusses how async Rust separates concurrency from parallelism, enabling finer control and optimization, especially for latency-oriented workloads. The text also highlights the importance of the ecosystem, noting that many network-related libraries use async Rust, which influences the choice of libraries for developers. The conclusion reinforces that async Rust provides essential tools for managing execution and concurrency that are not available in non-async environments, making it a preferred choice for certain applications.