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jQuery attr vs prop?
...in', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f13247058%2fjquery-attr-vs-prop%23new-answer', 'question_page');
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bash HISTSIZE vs. HISTFILESIZE?
What is the difference in HISTSIZE vs. HISTFILESIZE ?
2 Answers
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Is there a MySQL option/feature to track history of changes to records?
... the AFTER UPDATE trigger to barf, so they need to be removed. In the php script I have that does this stuff, I query for any unique indexes on newly created history tables (with "SHOW INDEX FROM data_table WHERE Key_name != 'PRIMARY' and Non_unique = 0"), and then remove them.
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Pimpl idiom vs Pure virtual class interface
...ls depending on the implementation desired. Often this is say a win32 impl vs a linux impl of something that needs to be implemented differently per platform.
– Doug T.
May 5 '09 at 14:10
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scheduleAtFixedRate vs scheduleWithFixedDelay
What's the main difference between scheduleAtFixedRate and scheduleWithFixedDelay methods of ScheduledExecutorService ?
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Why does ReSharper want to use 'var' for everything?
... and it makes my job extremely difficult: i.e. var items = GetSomeItems(); vs IDataReader dr = GetSomeItems(); Missing using statement on both but easier for me to catch when using IDataReader vs var.
– Chris Gessler
Mar 3 '13 at 10:54
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jQuery SVG vs. Raphael [closed]
...ased late last week). Another big plus is that its developer, Dmitry Baranovskiy, is currently working on a Raphael charting plugin, g.raphael, which looks like its shaping up to be pretty slick (there are a few samples of the output from the early versions on Flickr).
However, just to throw anothe...
SAML vs federated login with OAuth
... for SAML XML Tokens. JWT can be used with OAuth
A good reference is SAML vs. OAuth: Which One Should I Use?
Greenlet Vs. Threads
...icantly less cost to your system.
Concurrency is not parallelism
Threads vs. processes
Multiprocessing vs. threads
GIL vs. CPython
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Selecting multiple columns in a pandas dataframe
... is in the
3rd & 4th columns. If you don't know their names when your script runs, you can do this
newdf = df[df.columns[2:4]] # Remember, Python is 0-offset! The "3rd" entry is at slot 2.
As EMS points out in his answer, df.ix slices columns a bit more concisely, but the .columns slicing in...