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Safely turning a JSON string into an object
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edited Mar 26 '18 at 18:41
Graham
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SQL JOIN and different types of JOINs
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edited Mar 7 '18 at 19:23
TylerH
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How can I check whether Google Maps is fully loaded?
I’m embedding Google Maps into my web site. Once Google Maps is loaded, I need to kick off a few JavaScript processes.
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Hidden Features of ASP.NET [closed]
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community wiki
John Sheehan
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why is plotting with Matplotlib so slow?
...erent python plotting libraries. Right now I'm trying matplotlib and I'm quite disappointed with the performance. The following example is modified from SciPy examples and gives me only ~ 8 frames per second!
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What does the “assert” keyword do? [duplicate]
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If you launch your program with -enableassertions (or -ea for short) then this statement
assert cond;
is equivalent to
if (!cond)
throw new AssertionError();
If you launch your program without this option, the assert statement will have no eff...
Using Java 8 to convert a list of objects into a string obtained from the toString() method
There are a lot of useful new things in Java 8. E.g., I can iterate with a stream over a list of objects and then sum the values from a specific field of the Object 's instances. E.g.
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Why is System.Web.Mvc not listed in Add References?
... 2012 I couldn't find System.Web.Mvc in the "assemblies" tab, but after a bit of searching I found out that I need to look into "assemblies\extensions" tab rather than the default "assemblies\framework" tab.
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What is a lambda expression in C++11?
... std::transform, which can be very handy. Unfortunately they can also be quite cumbersome to use, particularly if the functor you would like to apply is unique to the particular function.
#include <algorithm>
#include <vector>
namespace {
struct f {
void operator()(int) {
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Change one value based on another value in pandas
...cing and indexing features to logically evaluate the places where your condition holds and overwrite the data there.
Assuming you can load your data directly into pandas with pandas.read_csv then the following code might be helpful for you.
import pandas
df = pandas.read_csv("test.csv")
df.loc[df....