Personal channel of @lancern
Topics: programming, hacking, memes, life, and more. Forward anything as you wish.
Join the discussion group for more fun.
Discord: https://discord.gg/RwUx9et7
Topics: programming, hacking, memes, life, and more. Forward anything as you wish.
Join the discussion group for more fun.
Discord: https://discord.gg/RwUx9et7
Learn Datalog Today https://www.learndatalogtoday.org/
The C++ Ecosystem in 2023: Growth of C++20, Wider Adoption of Clang-based Tools, AI Gaining Developers’ Confidence
via The JetBrains Blog (author: Anastasia Kazakova)
via The JetBrains Blog (author: Anastasia Kazakova)
国家统计局:全国人口比上年末减少208万人,人口自然增长率为-1.48‰
国家统计局:年末全国人口(包括31个省、自治区、直辖市和现役军人的人口,不包括居住在31个省、自治区、直辖市的港澳台居民和外籍人员)140967万人,比上年末减少208万人。
全年出生人口902万人,人口出生率为6.39‰;死亡人口1110万人,人口死亡率为7.87‰;人口自然增长率为-1.48‰。
从年龄构成看,16—59岁的劳动年龄人口86481万人,占全国人口的比重为61.3%;60岁及以上人口29697万人,占全国人口的21.1%,其中65岁及以上人口21676万人,占全国人口的15.4%。
从城乡构成看,城镇常住人口93267万人,比上年末增加1196万人;乡村常住人口47700万人,减少1404万人;城镇人口占全国人口的比重(城镇化率)为66.16%,比上年末提高0.94个百分点。
国家统计局:年末全国人口(包括31个省、自治区、直辖市和现役军人的人口,不包括居住在31个省、自治区、直辖市的港澳台居民和外籍人员)140967万人,比上年末减少208万人。
全年出生人口902万人,人口出生率为6.39‰;死亡人口1110万人,人口死亡率为7.87‰;人口自然增长率为-1.48‰。
从年龄构成看,16—59岁的劳动年龄人口86481万人,占全国人口的比重为61.3%;60岁及以上人口29697万人,占全国人口的21.1%,其中65岁及以上人口21676万人,占全国人口的15.4%。
从城乡构成看,城镇常住人口93267万人,比上年末增加1196万人;乡村常住人口47700万人,减少1404万人;城镇人口占全国人口的比重(城镇化率)为66.16%,比上年末提高0.94个百分点。
Passing nothing is surprisingly difficult https://davidben.net/2024/01/15/empty-slices.html
P3086R0: Proxy: A Pointer-Semantics-Based Polymorphism Library
tl;dr: 在 C++ 中实现螃蟹式的 fat-pointer-based runtime polymorphism
https://www.open-std.org/jtc1/sc22/wg21/docs/papers/2024/p3086r0.pdf
tl;dr: 在 C++ 中实现螃蟹式的 fat-pointer-based runtime polymorphism
https://www.open-std.org/jtc1/sc22/wg21/docs/papers/2024/p3086r0.pdf
A lowering strategy for control effects in Rust https://www.abubalay.com/blog/2024/01/14/rust-effect-lowering
Fishshell rewrite-it-in Rust progress: 100% https://aus.social/@zanchey/111760402786767224
Ruffle: 2023 in Review https://ruffle.rs/blog/2024/01/14/2023-in-review
A supply chain attack on PyTorch https://johnstawinski.com/2024/01/11/playing-with-fire-how-we-executed-a-critical-supply-chain-attack-on-pytorch/
Missing the Point of WebAssembly http://wingolog.org/archives/2024/01/08/missing-the-point-of-webassembly