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LaTeX table positioning
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Perhaps it is worth emphasizing that "H" should be used and not "h". That is what I observed for myself.
– bikashg
Aug 1 '11 at 9:11
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CSS: bolding some text without changing its container's size
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I needed a css-only solution and this is the answer.
– JCasso
Jun 27 '13 at 8:00
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What LaTeX Editor do you suggest for Linux? [closed]
...X (texmakerx.sourceforge.net) which is mainly TeXMaker with spell checking and some other features.
– ubuntudroid
Jan 8 '11 at 13:39
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dynamic_cast and static_cast in C++
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Here's a rundown on static_cast<> and dynamic_cast<> specifically as they pertain to pointers. This is just a 101-level rundown, it does not cover all the intricacies.
static_cast< Type* >(ptr)
This takes the pointer in ptr and tries to safely ...
Singular or plural controller and helper names in Rails
Is there any disadvantage to using singular names for controllers and helpers? Nothing seems to rely on this. It even seems helpers don't have to make the same choice about singular vs. plural as their corresponding controllers, at least according to my limited experimentation. Is that true?
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python: how to identify if a variable is an array or a scalar
...supports a tuple of classes, check type(x) in (..., ...) should be avoided and is unnecessary.
You may also wanna check not isinstance(x, (str, unicode))
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“Bitmap too large to be uploaded into a texture”
I'm loading a bitmap into an ImageView, and seeing this error. I gather this limit relates to a size limit for OpenGL hardware textures (2048x2048). The image I need to load is a pinch-zoom image of about 4,000 pixels high.
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How can I clone an SQL Server database on the same server in SQL Server 2008 Express?
...r 2008 Express system which contains a database that I would like to 'copy and rename' (for testing purposes) but I am unaware of a simple way to achieve this.
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elasticsearch v.s. MongoDB for filtering application [closed]
... architectural choice prior to delving into the details of experimentation and implementation. It's about the suitability, in scalability and performance terms, of elasticsearch v.s. MongoDB, for a somewhat specific purpose.
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Why were pandas merges in python faster than data.table merges in R in 2012?
I recently came across the pandas library for python, which according to this benchmark performs very fast in-memory merges. It's even faster than the data.table package in R (my language of choice for analysis).
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