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How to delete a row by reference in data.table?
My question is related to assignment by reference versus copying in data.table . I want to know if one can delete rows by reference, similar to
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What is the difference between svg's x and dx attribute?
...x and dy are relative coordinates (relative to the specified x and y).
In my experience, it is not common to use dx and dy on <text> elements (although it might be useful for coding convenience if you, for example, have some code for positioning text and then separate code for adjusting it).
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How do I append one string to another in Python?
... @Ben, there has been a significant improvement in this area - see my answer
– John La Rooy
Dec 14 '10 at 4:06
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Correct way to delete cookies server-side
For my authentication process I create a unique token when a user logs in and put that into a cookie which is used for authentication.
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How to get line count of a large file cheaply in Python?
...ed May 10 '09 at 10:37
Yuval AdamYuval Adam
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What is the python “with” statement designed for?
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Because I used it to open a py script. with open('myScript.py', 'r') as f: pass. I expected to be able to call the variable f to see the text content of the document, as this is what would appear if the document were assigned to f via a regular open statement: f = open('mySc...
Private vs Public in Cache-Control
...related to the connected user (for example, the HTML in this page includes my username, so it won't be useful to anyone else) cache-control: private will be better, as the proxies would be caching data that won't be requested by other users, and they might also be keeping data that you don't want to...
How to handle button clicks using the XML onClick within Fragments
...Fragment;
//...onCreate etc instantiating your fragments
public void myClickMethod(View v) {
someFragment.myClickMethod(v);
}
Fragment:
public void myClickMethod(View v) {
switch(v.getId()) {
// Just like you were doing
}
}
In response to @Ameen who wanted less c...
Python memory usage of numpy arrays
... bytes of all the elements of the array in a numpy.array:
size_in_bytes = my_numpy_array.nbytes
Notice that this does not measures "non-element attributes of the array object" so the actual size in bytes can be a few bytes larger than this.
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How does “304 Not Modified” work exactly?
My guess, if it's generated by the browser:
2 Answers
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