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Ruby: How to get the first character of a string
How can I get the first character in a string using Ruby?
13 Answers
13
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TCPClient TCP客户端扩展：连接TCP服务器进行文本消息通信 · App Inventor 2 中文网
... 各版本对比 App上架指南 入门必读 IoT专题 AI2拓展 Aia Store 关于 关于我们 发布日志 服务条款 搜索 ...
阿里双11大型项目管理怎么玩？ - 项目管理 - 清泛网 - 专注C/C++及内核技术
...顾以及给后来人经验参考。
仓配派件项目风险处理界面（点击查看清晰大图）
项目与需求关联、电子看板与物理看板结合
从项目集的里程碑管理、标签管理、风险管理等，我们可以看到项目的整体进度，风险等信息。
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How to reset db in Django? I get a command 'reset' not found error
... edited May 14 at 12:17
Håken Lid
15.9k77 gold badges3535 silver badges5555 bronze badges
answered Aug 30 '13 at 22:06
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搭建高可用mongodb集群（一）——配置mongodb - 大数据 & AI - 清泛网 - 专...
...成功！
[initandlisten] db version v2.4.6
……..
[initandlisten] waiting for connections on port 27017
[websvr] admin web console waiting for connections on port 28017
mongodb默认自带提供了web访问接口，通过 IP + 端口的形式可以访问。
http://192.168.0.1:28017/
二...
How to write “Html.BeginForm” in Razor
...t to add: @Html.AntiForgeryToken();
– Frédéric De Lène Mirouze
Oct 24 '17 at 7:52
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如何选择机器学习算法 - 大数据 & AI - 清泛网 - 专注IT技能提升
...得这些年用着还不错的常规指南。
How large is your training set?
训练集有多大？
If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfi...
如何选择机器学习算法 - 大数据 & AI - 清泛网 - 专注IT技能提升
...得这些年用着还不错的常规指南。
How large is your training set?
训练集有多大？
If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfi...
如何选择机器学习算法 - 大数据 & AI - 清泛网 - 专注IT技能提升
...得这些年用着还不错的常规指南。
How large is your training set?
训练集有多大？
If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfi...
如何选择机器学习算法 - 大数据 & AI - 清泛网 - 专注IT技能提升
...得这些年用着还不错的常规指南。
How large is your training set?
训练集有多大？
If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfi...