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How can I parse a JSON file with PHP? [duplicate]
...apsuled in OOP, so you have better reuse and you can easily mock it in UnitTests plus you can stack Iterators with other iterators doing different things, like limiting, caching, filtering and so on.. in addition to any custom iterators you might want to create.
– Gordon
...
comparing sbt and Gradle [closed]
...a revision which can be given as a fixed one (1.5.2, for instance) or as latest (or dynamic) one.
See "Ivy Dependency"
That means the "-SNAPSHOT" mechanism support can be problematic, even though Mark Harrah details in this thread:
It is true the cache can get confused, but it is not true that Ivy...
Alarm Manager Example
...ntService::class.java)
intent.action = MyIntentService.ACTION_SEND_TEST_MESSAGE
intent.putExtra(MyIntentService.EXTRA_MESSAGE, message)
pendingIntent = PendingIntent.getService(context, 0, intent, PendingIntent.FLAG_UPDATE_CURRENT)
alarmManager.set(AlarmManager.RTC_W...
Character reading from file in Python
...iles in update mode, allowing both reading and writing:
with codecs.open('test', encoding='utf-8', mode='w+') as f:
f.write(u'\u4500 blah blah blah\n')
f.seek(0)
print repr(f.readline()[:1])
EDIT: I'm assuming that your intended goal is just to be able to read the file properly into a...
Share Large, Read-Only Numpy Array Between Multiprocessing Processes
...n use numpy.memmap. For example, if you have an array stored in disk, say 'test.array', you can use simultaneous processes to access the data in it even in "writing" mode, but your case is simpler since you only need "reading" mode.
Creating the array:
a = np.memmap('test.array', dtype='float32', ...
What should I do if two libraries provide a function with the same name generating a conflict?
...ATE: I just did it on this end and it seems to work. Of course, I've not tested this thoroughly - it may be no more than a really good way to blow your leg off with a hexedit shotgun.
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impr...
pandas dataframe columns scaling with sklearn
...import MinMaxScaler
>>> scaler = MinMaxScaler()
>>> dfTest = pd.DataFrame({'A':[14.00,90.20,90.95,96.27,91.21],
'B':[103.02,107.26,110.35,114.23,114.68],
'C':['big','small','big','small','small']})
>>> dfTest[['A', ...
Serving gzipped CSS and JavaScript from Amazon CloudFront via S3
...load a gzip and non-gzip version of the css and js. Be careful naming and test in Safari. Because safari won't handle .css.gz or .js.gz files.
site.js and site.js.jgz and
site.css and site.gz.css (you'll need to set the content-encoding header to the correct MIME type to get these to serve ri...
differentiate null=True, blank=True in django
...null=True because it allows two different kinds of "blanky" values. I just tested this behaviour with Django 1.8/MySQL 5.6
– Edward D'Souza
Aug 3 '16 at 17:14
...
Javascript switch vs. if…else if…else
..., because each has a different JS processing engine, however, in running a test on the site below, the switch always out performed the if, elseif on a large number of iterations.
Test site
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