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Source channel @FindBlog · Post #343 · 11月29日

写了三年博客,多多少少对写博客、建博客有一点了解,之前在 V2EX 看到这样一条帖子:想给一个女性作家朋友搭建一个博客网站,有什么成熟点的方案 网友评论了很多,有价值的也不少,我在此摘录几条我认为有用的: 1️⃣作家应该不是程序员吧? 不明白为何那么多人还无脑推要用 git 的静态博客…… wordpress 吧,要是觉得卡顿,安利一下 zblogphp,很好用,主题也不少。 2️⃣Wordpress 插件多 技术成熟。。别信楼什么什么 github+hexo 的 别人又不是程序员,markdown 也做不了复杂的页面布局 3️⃣虚拟空间 + Typecho / Wordpress 或者博客平台.不要净搞些幺蛾子,还不好使(你朋友表示) 你以为很秀的操作在外行人眼中看来即不实际也不好使. 4️⃣大家还是偏极客了吧,程序员之外,愿意写 markdown,自己 git 提交的用户多吗? 还是有一个易用的后台,广泛的插件、主题选择,也真没有比 wordpress 更好的了。 5️⃣推静态博客的不是蠢就是坏,又不是人人都是程序员。 也不建议自己搭,因为没人做 SEO,没啥用。 建议直接买成熟的平台,或者就地取材。 #博客

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Android Broadcast

@android_broadcast · Post #8812 · 2025/03/15 08:23

Какие преимущества даст переход на Vulkan для отрисовки UI в Android? 🚀Производительность: Vulkan обеспечивает более эффективную работу с GPU и CPU, сокращая оверхед и повышая FPS. Лучше работает во множество поток 🔋Энергоэффективность: Снижение нагрузки на процессор ведёт к заметной экономии заряда аккумулятора. ⛏️Контроль и гибкость: Разработчики получают больше возможностей для тонкой настройки графического рендеринга и оптимизации приложений. ✅Кроссплатформенность: Vulkan поддерживается на многих платформах, что облегчает переносимость кода и улучшает совместимость приложений. Аналогичный переход сделала Apple, когда отказалась от OpenGL ES в iOS, заменив его на API Metal, которое призвано выполнять аналогичные функции, что и Vulkan. #android#vulkan

AzTV

@aztv_resmi · Post #44951 · 2026/02/25 08:03

🔴 Güclü partlayış baş verən palçıq vulkanından yeni görüntülər #AZTV#vulkan#palçıq

Android Broadcast

@android_broadcast · Post #8811 · 2025/03/15 06:00

‼️Vulkan станет основной технологий для рендеринга UI в Android Начиная, с Android 17 большая часть устройств перейдет на рендеринг UI с OpenGL ES на Vulkan, а поддержку OpenGL будет убрана и станет доступна через ANGLE для трансляции команд в Vulkan. #android#android17#vulkan#opengl

GitHub Trends

@githubtrending · Post #15604 · 2026/04/06 11:30

#java#minecraft#minecraft_mod#vulkan#vulkan_renderer VulkanMod is a Fabric mod that replaces Minecraft Java's old OpenGL renderer with a modern Vulkan 1.2 engine, cutting CPU overhead, boosting GPU performance, and adding features like Wayland support and chunk optimizations for much higher FPS and smoother gameplay. Install Fabric loader, download the .jar from Modrinth or CurseForge, and drop it in your .minecraft/mods folder to enjoy lag-free worlds and better hardware use right away—perfect for high-res packs or busy servers. https://github.com/xCollateral/VulkanMod

GitHub Trends

@githubtrending · Post #14810 · 2025/06/08 14:00

#rust#d3d12#gpu#hacktoberfest#metal#opengl#rust#vulkan#webgpu **wgpu** is a powerful graphics library for Rust that works on many platforms, including Windows, macOS, Linux, and the web. It supports various graphics APIs like Vulkan, Metal, and DirectX. This library is safe and portable, making it easy to create graphics and compute applications. Using **wgpu**, you can build fast and efficient graphics programs that run on different devices and browsers, which is beneficial for developers who want to create cross-platform applications. https://github.com/gfx-rs/wgpu

GitHub Trends

@githubtrending · Post #14766 · 2025/05/30 12:30

#cplusplus#best_practices#cpp#graphics#graphics_programming#khronos#tutorials#vulkan#vulkan_api#vulkan_samples Vulkan is a powerful tool for creating high-performance graphics and computing applications. It helps developers control the GPU better, which can lead to faster and more efficient performance compared to older systems like OpenGL. Vulkan is special because it works on many different platforms, such as Windows, Linux, and Android. This means developers can create applications that run smoothly across various devices. The Vulkan Samples provide resources and tutorials to help developers learn and optimize their applications, making it easier to create high-quality graphics and computing experiences. https://github.com/KhronosGroup/Vulkan-Samples

GitHub Trends

@githubtrending · Post #14659 · 2025/05/01 15:30

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN