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What does asterisk * mean in Python? [duplicate]

...rm *identifier is present, it is initialized to a tuple receiving any excess positional parameters, defaulting to the empty tuple. If the form **identifier is present, it is initialized to a new dictionary receiving any excess keyword arguments, defaulting to a new empty dictionary. ...
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Why can't I use a list as a dict key in python?

...e on the topic in the Python wiki: Why Lists Can't Be Dictionary Keys. As explained there: What would go wrong if you tried to use lists as keys, with the hash as, say, their memory location? It can be done without really breaking any of the requirements, but it leads to unexpected behavior. L...
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Capturing mobile phone traffic on Wireshark

...5 added a remote virtual interface (RVI) facility that lets you use Mac OS X packet trace programs to capture traces from an iOS device. See here for more details For all phones, wi-fi only: Set up your PC as a wireless access point, then run wireshark on the PC For all phones, wi-fi only: Get a ca...
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How to check that an object is empty in PHP?

...g doesn't work for me, because I get the error: PHP Parse error: syntax error, unexpected '(array)' (array) (T_ARRAY_CAST) in ... I use PHP version 5.4.28 and the first option with two lines of code works for me. – Coanda May 18 '14 at 13:34 ...
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Does pandas iterrows have performance issues?

...ernally by pandas, though it depends on what is going on inside the apply expression. For example, df.apply(lambda x: np.sum(x)) will be executed pretty swiftly, though of course, df.sum(1) is even better. However something like df.apply(lambda x: x['b'] + 1) will be executed in Python space, and co...
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如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升

...不同的参数),最后选择在交叉验证中表现最好的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure t...
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如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升

...不同的参数),最后选择在交叉验证中表现最好的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure t...
https://www.tsingfun.com/it/bi... 

如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升

...不同的参数),最后选择在交叉验证中表现最好的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure t...
https://www.tsingfun.com/it/bi... 

如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升

...不同的参数),最后选择在交叉验证中表现最好的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure t...
https://www.tsingfun.com/it/bi... 

如何选择机器学习算法 - 大数据 & AI - 清泛网移动版 - 专注IT技能提升

...不同的参数),最后选择在交叉验证中表现最好的。jmp0xf 译自Edwin Chen How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure t...