Very cool -- https://teddit.net is a new privacy-friendly Reddit frontend, similar to Invidious / YouTube, Bibliogram / Instagram, and Nitter / Twitter.
Source code: https://codeberg.org/teddit/teddit
- No JavaScript or ads
- All requests go through the backend, client never talks to Reddit
- Prevents Reddit from tracking your IP or JavaScript fingerprint
- Lightweight (teddit frontpage: ~30 HTTP requests with ~270 KB of data downloaded vs. Reddit frontpage: ~190 requests with ~24 MB)
http://m.news.cctv.com/2020/10/06/ARTIn1uH420o7TVqj2vw03cZ201006.shtml 【2020年】当地时间10月6日,瑞典皇家科学院常任秘书戈兰·汉松宣布,将2020年诺贝尔物理学奖授予罗杰·彭罗斯(Roger Penrose),莱因哈德·根泽尔(Reinhard Genzel)和安德里亚·格兹(Andrea Ghez),三位获奖者因发现了宇宙中最奇特的现象黑洞,将分享1000万瑞典克朗奖金(约合76 ...「人民日报发自 https://weibo.com/2803301701/JnXfojmwZ 」
Netflix开源的这个Dispatch,咋那么像咱以前的goc系统呢
https://www.infoq.cn/article/rlewJHMgHXmROj1DvNlP?utm_source=weibo&utm_medium=infoq&utm_campaign=newinfoq&utm_content=0925
@pockieswili 所以我越来越不再为各种新兴网络服务而兴奋,不再把生活、工作、数据都一股脑搬上云(当年的evernote,现在的notion,google的一大堆服务)而是把笔记、书库、音乐库等东西逐步收回到网盘甚至本地自行管理,从存储形式上尽量不依赖大厂的服务(存储位置问题不大,比如dropbox或onedrive不太可能突然关闭)
With the help from @8zu 🎉 , we recently localised https://fedisearch.com in Chinese and Japanese
你好!中文用户
こんにちは!日本のユーザー
https://mp.weixin.qq.com/s/s5njfwzr7Y9hhSOZWDTQiA?luicode=20000174&u=https%3A%2F%2Fmp.weixin.qq.com%2Fs%2Fs5njfwzr7Y9hhSOZWDTQiA 《一个函数秒杀 2Sum 3Sum 4Sum 问题》除了 twoSum 问题,LeetCode 上面还有 3Sum,4Sum 问题,我估计以后出个 5Sum,6Sum 也不是不可能。那么,对于这种问题有没有什么好办法用套路解决呢?本文就由浅入深,层层推进,用一个函数来解决所有 nSum 类型的问题。(by labuladong)「Python开发者发自 https://weibo.com/5305630013/JbEoBajl6 」
Not Just GPS: New Options For Global Positioning
A few weeks ago, China launched the final satellite in its BeiDou-3 satellite positioning system. Didn’t know that China had its own GPS? How about Europe’s Galileo, Russia’s GLONASS, or Japan’s QZSS? The… https://hackaday.com/2020/07/07/not-just-gps-new-options-for-global-positioning/
Original tweet : https://twitter.com/hackaday/status/1280508456945008640
We just recieved our first #RaspberryPi4 with 8GB RAM and did our first test.
We are pleased to say that we support the 8 GB RAM model on our default rpi4 images and from the Installer.