现在 Wolfram Alpha 已发布，我有兴趣了解它是否可以用作节省时间的工具在日常编程中。
您会使用 Wolfram Alpha 做什么，之前需要花费更多时间手动完成？
我想 "Web 和计算机系统"-examples 是一个好的开始，但是有一定是更多隐藏的宝石，对我们程序员来说真正实用。
简短的示例列表：
每个答案请仅包含一个搜索查询，然后我们可以对它们进行评分，以将最好的搜索查询排在顶部。
（我制作了这个）社区维基，因为我们将使用投票进行排名）
注意：如果答案中的某些链接不起作用（例如：wolfram 找不到任何结果，则将所有 + 替换为空格..
Now that Wolfram Alpha is released, I am interested in finding out if it can be used as a time-saver in daily programming.
What would you use Wolfram Alpha to do, that earlier took you more time to do manually?
I guess the "Web and Computer systems"-examples is a good start, but there must be more hidden gems that will be really practical for us programmers.
A short list of examples:
Please only include one search query per answer, then we can rate them to get the best ones to the top.
(I made this one a community-wiki, since we will be using the voting for ranking)
Note: If some of the links in the answers don't work (eg: wolfram doesn't find any results, then replace all + with spaces..
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有人在这里仔细检查我：
“Wolfram Alpha”（无引号）的 MD5 哈希为：
882b 0be2 79eb 7e88 86cd 3dae 19c1 d267
并不是：
a615 9984 9aee b7be 3091 68bc 0ab7？
编辑：每次给出相同的查询时，哈希都会改变......这是什么类型的哈希？
http://www14.wolframalpha.com/input/?i= MD5%22Wolfram+Alpha%22
Someone double check me here:
The MD5 hash of "Wolfram Alpha" (no quotes) is:
882b 0be2 79eb 7e88 86cd 3dae 19c1 d267
And not:
a615 9984 9aee b7be 3091 68bc 0ab7 ?
EDIT: The hash changes every time given the same query...what kind of hash is this?
http://www14.wolframalpha.com/input/?i=MD5%22Wolfram+Alpha%22
我可能会通过不玩它而做真正的工作来“节省时间”。 :)
I might 'save time' by not playing around with it and doing real work instead. :)
计算 NACA 剖面的升力系数（示例）。
（我为此编写了一个程序，但很高兴能够选择快速完成）
Calculating lift coefficients of NACA profiles (example).
(I made a program for this, but it's nice to have the option to do it quick)
我可能不会用它来做任何事。 我不了解你的情况，但我每天都会处理足够多的黑匣子，而且我宁愿使用那些经过彻底尝试和测试的黑匣子。
I probably won't use it for anything. I don't know about you, but I deal with enough black boxes on a daily basis, and I'd rather use the ones that have been tried and tested thoroughly.
这可能会在以后困扰我，但让我震惊的是，虽然以机械方式使用 WA 可能有一点，但从我的角度来看，我认为这不是难以计算的信息问题，而是需要解决的问题。解决了，这是无法分类或严格建模的软人类数据。 谷歌似乎明白这一点，但不确定斯蒂芬·沃尔弗拉姆是否明白。
OTOH，现在任何人都可以成为 Colin Laney。
This might come back to haunt me later, but it strikes me that although there might be a point to WA used in a mechanical manner, from my perspective I'm thinking it's not the hard calculable information questions which are the problem which needs to be solved, it's the soft human data which defies classification or rigid modelling. Google seem to understand this, not sure Stephen Wolfram does.
OTOH it could be that anyone can be Colin Laney now.