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Inserting multiple rows in a single SQL query? [duplicate]
... to insert at once, say 4 rows. My table has three columns: Person , Id and Office .
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Repeater, ListView, DataList, DataGrid, GridView … Which to choose?
... yourself.
ListView - the new Datalist :). Almost a hybrid of the datalist and gridview where you can use paging and build in Gridview like functionality, but have the freedom of design. One of the new controls in this family
Repeater - Very light weight. No built in functionality like Headers, Foot...
jQuery set checkbox checked
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Taking all of the proposed answers and applying them to my situation - trying to check or uncheck a checkbox based on a retrieved value of true (should check the box) or false (should not check the box) - I tried all of the above and found that using .prop("ch...
Apply pandas function to column to create multiple new columns?
How to do this in pandas:
13 Answers
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How to write a cron that will run a script every day at midnight?
I have heard crontab is a good choice, but how do I write the line and where do I put it on the server?
6 Answers
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How to get current time and date in Android
How can I get the current time and date in an Android app?
40 Answers
40
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How to Free Inode Usage?
I have a disk drive where the inode usage is 100% (using df -i command).
However after deleting files substantially, the usage remains 100%.
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Best way to stress test a website [duplicate]
...ar pages? Or is the best thing to use a profiler to track a single request and then work out from that if the performance is ok?
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Possibility of duplicate Mongo ObjectId's being generated in two different collections?
...collection-independent; it's global. The Java driver, for example, uses a randomly initialized, static AtomicInteger.
So why, in the Mongo docs, do they say that the IDs are "highly likely" to be unique, instead of outright saying that they WILL be unique? Three possibilities can occur where you w...
How does python numpy.where() work?
I am playing with numpy and digging through documentation and I have come across some magic. Namely I am talking about numpy.where() :
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