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AppInventor2 vs Android Studio - App应用开发 - 清泛IT社区,为创新赋能!
...决?
安卓开发经验是相通的,安卓工程师能极快上手 ai2。ai2 本地版有个特色,编译信息非常清晰,即使出错绝大部分都能解决,不外乎就是代码块写的有问题。只要按照规范写,一般不会出错,即使查不出来的错误,我们技...
串口Read不到数据的问题 - 用户反馈 - 清泛IT社区,为创新赋能!
用户发送的是 8n1 的格式,但是ai2的串口貌似不支持这种格式。写串口正常,读串口为空,len为0。
目前经过测试验证,应该是 \n 作为结束符的。发送时,也是。
ai2使用 physicaloid 库完成的串口功能。
App Inventor 2 经典蓝牙(SPP) 硬件接入:hc05 · App Inventor 2 中文网
... 教育 入门必读 中文教程 IoT专题 AI2拓展 ChatGPT接入 Aia Store 开通VIP 搜索 App Inventor 2 经典蓝牙(SPP) 硬件接入...
Conceptually, how does replay work in a game?
...replay was being viewed in Brood War. For those unfamiliar, Brood War contains all of the original units and buildings, as well as a variety of new ones. In the original game, the player had defeated the computer by creating units that the computer could not easily counter. When I played the repl...
adito-gateway -华为云免费SSL VPN解决方案 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...解压并移动到 /usr/
[root@adito mnt]# mv /mnt/adito-0.9.1 /usr/
4. 安装 adito
[root@adito usr]# cd adito-0.9.1/
[root@adito adito-0.9.1]# ant install
关闭防火墙
[root@adito ~]# service iptables stop
iptables: Setting chains to policy ACCEPT: filter [ OK ]
iptabl...
Shell脚本编程30分钟入门 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...能,所以,也适用于Unix及BSD(如Mac OS)。
Linux
Linux默认安装就带了shell解释器。
Mac OS
Mac OS不仅带了sh、bash这两个最基础的解释器,还内置了ksh、csh、zsh等不常用的解释器。
Windows上的模拟器
windows出厂时没有内置shell解释器...
App Inventor 2 UrsAI2UDP 拓展 - UDP广播通信协议 · App Inventor 2 中文网
... 教育 入门必读 中文教程 IoT专题 AI2拓展 ChatGPT接入 Aia Store 开通VIP 搜索 App Inventor 2 UrsAI2UDP 拓展 - UDP广播...
vim line numbers - how to have them on by default?
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vim .vimrc and add the commands you want at open.
Here's a site that explains the vimrc and how to use it.
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OpenSSH升级后不能登录的问题 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...check=0
enabled=1
更新缓存
yum clean
yum makecache
先安装telnet 以防止更新openssh的时候 终端断开。
yum install telnet
详细配置请看
http://jingyan.baidu.com/article/9f63fb91ac7ebcc8400f0e94.html
配置完成后 使用telnet 登录到服务器
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how does multiplication differ for NumPy Matrix vs Array classes?
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The main reason to avoid using the matrix class is that a) it's inherently 2-dimensional, and b) there's additional overhead compared to a "normal" numpy array. If all you're doing is linear algebra, then by all means, feel free t...