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What is the difference between Lisp-1 and Lisp-2?
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You might like to read this paper by Richard Gabriel. It is a summary of the issues that the L...
What do I return if the return type of a method is Void? (Not void!)
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John FeminellaJohn Feminella
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How to write a multidimensional array to a text file?
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rsync: difference between --size-only and --ignore-times
... https://www.andrew.cmu.edu/course/15-749/READINGS/required/cas/tridgell96.pdf. The wikipedia article on rsync is also very good.
For local files, rsync compares metadata and if it looks like it doesn't need to copy the file because size and timestamp match between source and destination it doesn't...
How do I get a consistent byte representation of strings in C# without manually specifying an encodi
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@CodeInChaos: Like I said, the whole point of this is if you want to use it on the same kind of system, with the same set of functions. If ...
Ensuring json keys are lowercase in .NET
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dbcdbc
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mqtt协议一般最大支持订阅几个主题？ - 创客硬件开发 - 清泛IT社区，为创新赋能！
主要取决于MQTT的服务器端，一般几十到几百。以下来自AI的回答。
这是一个非常好的问题，但它没有一个简单的固定数字作为答案。MQTT协议规范本身并没有硬性规定一个客户端可以订阅主题的最大数量。这个限制主要取决于...
Generate a heatmap in MatPlotLib using a scatter data set
...n't mean to be an idiot, but how do you actually have this output to a PNG/PDF file instead of only displaying in an interactive IPython session? I'm trying to get this as some sort of normal axes instance, where I can add a title, axis labels, etc. and then do the normal savefig() like I would do f...
Show Youtube video source into HTML5 video tag?
...FF9A6264879948E&amp;sver=3&amp;ratebypass=yes&amp;expire=1300417200&amp;key=yt1&amp;ip=0.0.0.0&amp;id=37da319914f6616c"></video>
Note there seems to some expire stuff. I don't know how long the src string will work.
Still testing myself.
Edit (July 28, 2011): Not...
Moving average or running mean
...timeit np.convolve(x, np.ones((N,))/N, mode='valid')
10 loops, best of 3: 172 ms per loop
In [7]: %timeit running_mean(x, N)
100 loops, best of 3: 6.72 ms per loop
In [8]: %timeit pd.rolling_mean(x, N)[N-1:]
100 loops, best of 3: 4.74 ms per loop
In [9]: np.allclose(pd.rolling_mean(x, N)[N-1:], r...