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matpalm.com
| | nelari.us

In inverse transform sampling, the inverse cumulative distribution function is used to generate random numbers in a given distribution. But why does this work? And how can you use it to generate random numbers in a given distribution by drawing random numbers from any arbitrary distribution?
11.7 parsecs

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| | dusty.phillips.codes

In earlier articles, I introduced this "WAT to Wasm compiler in Roc" project, wrote some Roc code to load an input file, and implemented a tokenizer for a "hello world" of Wat to Wasm compilation. It was... more work than I expected. Four blog posts more work, to be precise! I have no idea where it's going to end. But I do know what's next! Parsing. Reminder: You are reading content that took a great deal of effort to craft, compose, and debug.
12.8 parsecs

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| | www.danhacks.com

[AI summary] A comprehensive guide listing resources and techniques to help software engineers prepare for coding interviews, covering data structures, algorithms, and practical practice tools.
11.4 parsecs

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| | www.dgendill.com

[AI summary] A detailed exploration of using Rust and WebAssembly for system-level programming, focusing on memory management, allocator implementation, and low-level concepts like alignment and size in memory layout.
20.7 parsecs

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