Topic: lifetimes Goto Github
Some thing interesting about lifetimes
Some thing interesting about lifetimes
lifetimes,BG/NBD and Gamma Gamma probabilistic models to evaluate and predict customer churn, retention, and lifetime value of an e-commerce business
User: a-memme
lifetimes,I built this crate to practice lifetimes, a concept most beginner Rust programmers find difficult to grasp. I followed a tutorial by Jon Gjengset. What we are implementing is already in the standard library, but whatβs a better way to learn lifetimes than by building something with them?
User: amschel99
Home Page: https://crates.io/crates/strsplit
lifetimes,A small and simple typewriting game to play around with rust's asynchronicity and lifetimes
User: andretietz
lifetimes,π Master Rust programming with this comprehensive roadmap! Explore fundamental and advanced concepts, code examples, and resources.
User: anthonybyansi
lifetimes,
User: anushapatil5
lifetimes,Walking through the Crust of Rust Youtube playlist by Jon Gjengset to level up my Rust skills.
User: archisman-mridha
Home Page: https://www.youtube.com/playlist?list=PLqbS7AVVErFiWDOAVrPt7aYmnuuOLYvOa
lifetimes,Safe concurrency in D (`shared` made easier)
User: atilaneves
lifetimes,Type-level building blocks for making Cow-like containers in Rust
User: braunse
Home Page: https://docs.rs/eso
lifetimes,Assign ownership of a value to the process itself
User: carlosskii
lifetimes,Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
User: jalajthanaki
lifetimes,A simple language inspired by Rust
User: lucadp19
lifetimes,A tiny framework for managing resources
User: psychollama
lifetimes,An exploration of lifetimes in Rust.
User: tfpk
Home Page: https://tfpk.github.io/lifetimekata
lifetimes,Simple explanations for some complex Rust lifetime errors.
Organization: viperproject
lifetimes,CRM Analytics with RFM segmentation, CLTV calculation, and ML (un/supervised) to predict future segmentations.
User: yigidatalp
Home Page: https://yigidatalp.github.io
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