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Windows、Linux开放指定端口 - 更多技术 - 清泛网 - 专注C/C++及内核技术
Windows、Linux开放指定端口主机某些端口需要提供给外部访问，如MySQL 3306端口、svn 3690端口、WCF绑定端口等等，但一般情况下端口默认是被防火墙拦截禁止外部访问的。本文简要介绍了如何在不关闭防火墙的情况下开放指定端口。...
How do I copy a string to the clipboard on Windows using Python?
...ndows default encoding. Allowed me to load this to the clipboard "másreas ç saod é í ó u* ü ö ï/" and read it back correctly.
– mvbentes
May 12 '16 at 17:18
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TCP 的那些事儿（下） - 更多技术 - 清泛网 - 专注C/C++及内核技术
...主要对TCP Reno 做了些修改。这个算法通过对RTT的非常重的监控来计算一个基准RTT。然后通过这个基准RTT来估计当前的网络实际带宽，如果实际带宽比我们的期望的带宽要小或是要多的活，那么就开始线性地减少或增加cwnd的大小...
Measure time in Linux - time vs clock vs getrusage vs clock_gettime vs gettimeofday vs timespec_get?
...r, hopefully not, wall-clock?)
What is the precision of the clock? (s, ms, µs, or faster?)
After how much time does the clock wrap around? Or is there some mechanism to avoid this?
Is the clock monotonic, or will it change with changes in the system time (via NTP, time zone, daylight savings time, ...
HTML5 Canvas vs. SVG vs. div
What is the best approach for creating elements on the fly and being able to move them around? For example, let's say I want to create a rectangle, circle and polygon and then select those objects and move them around.
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将 App Inventor 2 项目连接到外部传感器 · App Inventor 2 中文网
...用户都相同，并遵循规定的接线原理图。预定义的硬编码端口如下：
前右电机：端口10
前左电机：端口11
后右电机：端口12
后左电机：端口13
超声波传感器：端口36
亮度传感器：TwiMaster 1
为了初始化所有电机以供使用，必...
Linux iptables防火墙开放mysql、apache的端口 - 操作系统(内核) - 清泛网 ...
Linux iptables防火墙开放mysql、apache的端口vi etc sysconfig iptables 修改配置，添加两条tcp端口允许的记录：[root@iZ23rlmiwviZ ~] cat etc sysconfig iptables sample configuration for iptables service vi /etc/sysconfig/iptables 修改配置，添加两条tcp端口允许...
乐高机器人®组件 · App Inventor 2 中文网
...olor（颜色）：感知传感器指向的颜色。
SensorPort 传感器端口
指定传感器连接到的传感器端口。
必须在设计器中设置。
TopOfRange 范围上限
指定用于BelowRange、WithinRange和AboveRange事件的范围上限。
WithinRangeEventEnabled 范围内...
Why doesn't requests.get() return? What is the default timeout that requests.get() uses?
In my script, requests.get never returns:
6 Answers
6
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How do you get the magnitude of a vector in Numpy?
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In [4]: %timeit np.sqrt((a*a).sum(axis=1))
100000 loops, best of 3: 15.6 µs per loop
In [5]: %timeit np.sqrt(np.einsum('ij,ij->i',a,a))
100000 loops, best of 3: 8.71 µs per loop
or vectors:
In [5]: a = np.arange(100000)
In [6]: %timeit np.sqrt(a.dot(a))
10000 loops, best of 3: 80.8 µs p...