内容简介:Browser extensions provide a convenient and powerful way for people to take control of how they experience the web. From blocking ads to organizing tabs, extensions let people solve everyday problems and add whimsy to their online lives.At yesterday’s
Browser extensions provide a convenient and powerful way for people to take control of how they experience the web. From blocking ads to organizing tabs, extensions let people solve everyday problems and add whimsy to their online lives.
At yesterday’s WWDC event , Apple announced that Safari is adopting a web-based API for browser extensions similar to Firefox’sWebExtensions API. Built using familiar web technologies such as JavaScript, HTML, and CSS, the API makes it easy for developers to write one code base that will work in Firefox, Chrome, Opera, and Edge with minimal browser-specific changes. We’re excited to see expanded support for this common set of browser extension APIs.
What this means for you
Interested in porting your browser extension to Safari? VisitMDN to see which APIs are currently supported. Developers can start testing the new API in Safari 14 using the seed build for macOS Big Sur. The API will be available in Safari 14 on macOS Mojave and macOS Catalina in the future.
Or, maybe you’re new to browser extension development. Check out ourguides and tutorials to learn more about the WebExtensions API. Then, visit Firefox Extension Workshop to find information about development tools, security best practices, and tips for creating a great user experience. Be sure to take a look at our guide for how to build a cross-browser extension .
Ready to share your extension with the world (or even just a few friends!)? Ourdocumentation will guide you through the process of making your extension available for Firefox users.
Happy developing!
以上所述就是小编给大家介绍的《Welcoming Safari to the WebExtensions Community》,希望对大家有所帮助,如果大家有任何疑问请给我留言,小编会及时回复大家的。在此也非常感谢大家对 码农网 的支持!
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蚁群算法原理及其应用
段海滨 / 科学出版社 / 2005年2月1日 / 48.0
《蚁群算法原理及其应用(精装)》系统、深入地介绍了蚁群算法的原理及其应用,力图概括国内外在这一学术领域的最新研究进展。全书共包括10章,主要内容包括蚁群算法的思想起源、研究现状及机制原理;蚁群算法的复杂度分析;蚁群算法的收敛性证明;蚁群算法参数对其性能的影响;蚁群算法的参数选择原则;离散域和连续域蚁群算法的若干改进策略;蚁群算法在多个优化领域的典型应用;蚁群算法的硬件实现技术;蚁群算法与其他仿生优......一起来看看 《蚁群算法原理及其应用》 这本书的介绍吧!