necessaryimplicit(local to the script)modules.Will include/process all files givenasarguments to pyminifier.py on the command line.-O,--obfuscate Obfuscate allfunction/method names,variables,and classes.Default is toNOTobfuscate.--obfuscate-classes Obfuscateclassnames.--obfuscate-functions Obfuscatefunctio...
例如: '''This is a multi-line string. This is the first line. This is the second line. "What's your name?," I asked. He said "Bond, James Bond." ''' ● 转义符:用\'来指示单引号 'What\'s your name?' 在一个字符串中,行末的单独一个反斜杠表示字符串在下一行继 续,而不是开始...
* Upper Band =20-day SMA + (20-day standard deviation of price x2) * Lower Band =20-day SMA - (20-day standard deviation of price x2) 点击这里下载此电子表格示例。") 布林带由一个中间带和两个外部带组成。中间带是一个通常设置为 20 个周期的简单移动平均。使用简单移动平均是因为标准差公...
In[5]:importnumpyasnp In[6]:data=[np.random.standard_normal()foriinrange(7)]In[7]:data Out[7]:[-0.20470765948471295,0.47894333805754824,-0.5194387150567381,-0.55573030434749,1.9657805725027142,1.3934058329729904,0.09290787674371767] 和IPython配套的是Jupyter notebook。进入Jupyter notebook的方法是在终端中输入...
>>> ord('е') # cyrillic 'e' (Ye) 1077 >>> ord('e') # latin 'e', as used in English and typed using standard keyboard 101 >>> 'е' == 'e' False >>> value = 42 # latin e >>> valuе = 23 # cyrillic 'e', Python 2.x interpreter would raise a `SyntaxError` here ...
* * Arguments: * double sigma - the standard deviation of the gaussian kernel. * * Returns: * vector<double> - an vector of values of length ((6*sigma)/2) * 2 + 1. * Note: * Caller is responsable for deleting the kernel. === */ vector<double> Msrcr::CreateKernel(double sigma...
20世纪60年代,美国麻省理工学院人工智能实验室的西摩尔·帕伯特专为孩子们设计了一种叫LOGO的计算机语言,是一种易学、易懂、易于掌握的结构化程序设计语言,出发点是将原本较为枯燥的程序设计形象化,希望学生不要机械地记忆事实,使学生在掌握了为数不多的LOGO原始命令后,能在发现和探索中学习,通过操纵屏幕上的海龟来...
对Python的 pandas 库所有的内置元类、函数、子模块等全部浏览一遍,然后挑选一些重点学习一下。我安装的库版本号为1.3.5,如下: >>> import pandas as pd>>> pd.__version__'1.3.5'>>> print(pd.__doc__)pandas - a powerful data analysis and manipulation library for Python===**pandas** is a ...
下面两种方法都争取：>>>standard_arg(2)2>>>standard_arg(arg=2)2第二个函数pos_only_arg(arg, ...
(np.random.standard_normal(num_steps))# 用 Plotly 可视化fig=go.Figure(data=go.Scatter3d(x=x,y=y,z=z,marker=dict(size=4,color=t,colorscale='Viridis'),line=dict(color='darkblue',width=2)))fig.layout.scene.camera.projection.type="orthographic"fig.update_layout(width=800,height=700)fig...