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Using DISTINCT and COUNT together in a MySQL Query
Is something like this possible:
7 Answers
7
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How to change the timeout on a .NET WebClient object
... a client's data to my local machine (programatically) and their webserver is very, very slow which is causing a timeout in my WebClient object.
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Remove stubborn underline from link
...erline. The text color shows up correctly as white, but the blue underline is stubbornly persisting. I tried text-decoration: none; and text-decoration: none !important; in the CSS to remove the link underline. Neither worked.
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Replacing a fragment with another fragment inside activity group
...have added them dynamically, first of all.
Note: R.id.fragment_container is a layout or container of your choice in the activity you are bringing the fragment to.
// Create new fragment and transaction
Fragment newFragment = new ExampleFragment();
FragmentTransaction transaction = getSupportFragm...
Group by in LINQ
...p.PersonId into g
select new { PersonId = g.Key, Cars = g.ToList() };
Or as a non-query expression:
var results = persons.GroupBy(
p => p.PersonId,
p => p.car,
(key, g) => new { PersonId = key, Cars = g.ToList() });
Basically the contents of the group (when v...
How to get the difference between two arrays of objects in JavaScript
I have two result sets like this:
16 Answers
16
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Dynamically updating plot in matplotlib
... the collected data against arrival time. The time of arrival for the data is uncertain. I want the plot to be updated when data is received. I searched on how to do this and found two methods:
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:after vs. ::after
Is there any functional difference between the CSS 2.1 :after and the CSS 3 ::after pseudo-selectors (other than ::after not being supported in older browsers)? Is there any practical reason to use the newer specification?
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get keys of json-object in JavaScript [duplicate]
...ipt and I want to get the used keys in it. My JavaScript-Code looks like this:
3 Answers
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Filtering Pandas DataFrames on dates
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If date column is the index, then use .loc for label based indexing or .iloc for positional indexing.
For example:
df.loc['2014-01-01':'2014-02-01']
See details here http://pandas.pydata.org/pandas-docs/stable/dsintro.html#indexing-sele...