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Static variables in JavaScript
...cut, you could just do countMyself.counter = countMyself.counter || initial_value; if the static variable is never going to be falsey (false, 0, null, or empty string)
– Kip
Sep 23 '11 at 17:25
...
Animate change of view controllers without using navigation controller stack, subviews or modal cont
...iewController{
[self addChildViewController:aNewViewController];
__weak __block ViewController *weakSelf=self;
[self transitionFromViewController:self.currentViewController
toViewController:aNewViewController
duration:1.0
...
What does the ??!??! operator do in C?
...ces etc.
– Steve314
Oct 20 '11 at 4:06
7
The similar ATASCII character set for Atari 8-bit comput...
Send attachments with PHP Mail()?
...a convenient place in your project.
Include the main script file -- require_once('path/to/file/class.phpmailer.php');
Now, sending emails with attachments goes from being insanely difficult to incredibly easy:
use PHPMailer\PHPMailer\PHPMailer;
use PHPMailer\PHPMailer\Exception;
$email = new PHP...
Is it more efficient to copy a vector by reserving and copying, or by creating and swapping? [duplic
...VecFast(vec<int> original) // no reference
{
vector<int> new_;
new_.swap(original);
}
That would work, but an easier way is
vector<int> new_(original);
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Iterate through a C++ Vector using a 'for' loop
...icky.
– juanchopanza
Oct 3 '12 at 6:06
...
How to search a Git repository by commit message?
...see git-ready link provided)
# git checkout HEAD@{10}
git checkout -b build_0051 # make a new branch with the build_0051 as the tip
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...
Deleting multiple elements from a list
...
As a function:
def multi_delete(list_, *args):
indexes = sorted(list(args), reverse=True)
for index in indexes:
del list_[index]
return list_
Runs in n log(n) time, which should make it the fastest correct solution yet.
...
Using node-inspector with Grunt tasks
...ger
– Tomas Romero
Feb 25 '14 at 19:06
3
I'm having a bit of trouble with this. Could you clarify...
How to compute the similarity between two text documents?
... package, computing cosine similarities is as easy as
from sklearn.feature_extraction.text import TfidfVectorizer
documents = [open(f) for f in text_files]
tfidf = TfidfVectorizer().fit_transform(documents)
# no need to normalize, since Vectorizer will return normalized tf-idf
pairwise_similarity ...