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When should Flask.g be used?

...w that g will move from the request context to the app context in Flask 0.10, which made me confused about the intended use of g . ...
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How to check if smtp is working from commandline (Linux) [closed]

... edited Aug 15 '19 at 16:20 rogerdpack 46.2k3030 gold badges200200 silver badges315315 bronze badges ans...
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Why check both isset() and !empty()

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jquery if div id has children

... if ( $('#myfav').children().length > 0 ) { // do something } This should work. The children() function returns a JQuery object that contains the children. So you just need to check the size and see if it has at least one child. ...
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How do I execute a command and get the output of the command within C++ using POSIX?

...ited Dec 5 '18 at 2:16 gregpaton08 31122 silver badges77 bronze badges answered Jan 26 '09 at 6:12 waqaswaqas ...
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How do I override nested NPM dependency versions?

...on: { "dependencies": { "grunt-contrib-connect": { "version": "0.3.0", "from": "grunt-contrib-connect@0.3.0", "dependencies": { "connect": { "version": "2.8.1", "from": "connect@~2.7.3" } } } } } npm should automatically pick i...
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How to install Android SDK Build Tools on the command line?

... | edited Aug 24 '16 at 0:54 trygub 8788 bronze badges answered Oct 17 '13 at 0:24 ...
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How to add item to the beginning of List?

... Use the Insert method: ti.Insert(0, initialItem); share | improve this answer | follow | ...
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Numpy index slice without losing dimension information

... It's probably easiest to do x[None, 10, :] or equivalently (but more readable) x[np.newaxis, 10, :]. As far as why it's not the default, personally, I find that constantly having arrays with singleton dimensions gets annoying very quickly. I'd guess the numpy...
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binning data in python with scipy/numpy

... easier to use numpy.digitize(): import numpy data = numpy.random.random(100) bins = numpy.linspace(0, 1, 10) digitized = numpy.digitize(data, bins) bin_means = [data[digitized == i].mean() for i in range(1, len(bins))] An alternative to this is to use numpy.histogram(): bin_means = (numpy.histo...