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Swift performSelector:withObject:afterDelay: is unavailable [duplicate]
... Just a note that this method only works if your class inherits from an NSObject or derivative class. It won't work in a pure swift class.
– Jason Crump
Jul 31 '14 at 14:50
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Java Immutable Collections
From Java 1.6 Collection Framework documentation :
6 Answers
6
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Using os.walk() to recursively traverse directories in Python
I want to navigate from the root directory to all other directories within and print the same.
13 Answers
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Remove .php extension with .htaccess
... trailing slashes (Part 1)
I would like to remove all trailing slashes from pages
I'm not sure why you would want to do this as the rewrite guide includes an example for the exact opposite, i.e., always including a trailing slash. The docs suggest that removing the trailing slash has great pot...
Foreign Key naming scheme
... It's an unusual situation to be in, and not one you'd typically design in from scratch, so I didn't include this in the response.
– Greg Beech
Oct 14 '08 at 0:41
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How to hide the “back” button in UINavigationController?
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Also learn from my mistake: you have to call setHidesBackButton: BEFORE you push the navigationItem into the navigationController.
– codingFriend1
Nov 16 '12 at 16:26
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GDB missing in OS X v10.9 (Mavericks)
... Hi Mr. Catfish, I got it to work. It just required compiling it from source with the correct ./configure command :) thx!
– l'L'l
Oct 24 '13 at 6:23
2
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How to amend older Git commit? [duplicate]
... rebase --continue
If you want to add an extra delete remove the options from the commit command. If you want to adjust the message, omit just the --no-edit option.
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GCD to perform task in main thread
I have a callback which might come from any thread. When I get this callback, then I would like to perform a certain task on the main thread.
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How to compute the similarity between two text documents?
...learn. In the latter 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
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