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What does numpy.random.seed(0) do?
..., 0.65, 0.44, 0.89])
>>> numpy.random.rand(4)
array([ 0.96, 0.38, 0.79, 0.53])
(pseudo-)random numbers work by starting with a number (the seed), multiplying it by a large number, adding an offset, then taking modulo of that sum. The resulting number is then used as the seed to gen...
CentOS+Nginx+PHP+MySQL详细配置(图解) - 更多技术 - 清泛网 - 专注C/C++及内核技术
... //启动MySQL
#/usr/local/mysql/bin/mysqladmin -u root password 123456 //设置MySQL密码
#cp support-files/my-medium.cnf /etc/my.cnf
#echo "/usr/local/mysql/bin/mysqld_safe &" >>/etc/rc.local
二、安装PCRE
PCRE是perl所用到的正则表达式，目的是让所装...
Python: print a generator expression?
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Quick answer:
Doing list() around a generator expression is (almost) exactly equivalent to havi...
Changing names of parameterized tests
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This feature has made it into JUnit 4.11.
To use change the name of parameterized tests, you ...
Cast Object to Generic Type for returning
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What is the list of possible values for navigator.platform as of today? [closed]
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How to best position Swing GUIs?
...hown on the screen.
Have a look at the effect of this example that puts 3 GUIs into the default positions as chosen by the OS - on Windows 7, Linux with Gnome & Mac OS X.
(3 lots of) 3 GUIs neatly stacked. This represents 'the path of least surprise' for the end user, since it is how th...
How do I represent a hextile/hex grid in memory?
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answered Jun 1 '13 at 15:59
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How can I maximize the editor pane in IntelliJ IDEA?
... using IntelliJ 11.1.2 on Kubuntu 12.04 LTS with the Default keymap.
14.0.3 on MacOS X
It's Cmd + Shift + F12 in IntelliJ IDEA 14.0.3 on MacOS X.
UPDATE on 2015-03-24:
IntelliJ IDEA 14.1 now has support for Distraction Free Mode. You can invoke it by clicking View > Enter Distraction Free Mode...
Adding an arbitrary line to a matplotlib plot in ipython notebook
...matplotlib.pyplot as plt
np.random.seed(5)
x = np.arange(1, 101)
y = 20 + 3 * x + np.random.normal(0, 60, 100)
plt.plot(x, y, "o")
# draw vertical line from (70,100) to (70, 250)
plt.plot([70, 70], [100, 250], 'k-', lw=2)
# draw diagonal line from (70, 90) to (90, 200)
plt.plot([70, 90], [90, 20...