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Running a specific test case in Django when your app has a tests directory
The Django documentation ( http://docs.djangoproject.com/en/1.3/topics/testing/#running-tests ) says that you can run individual test cases by specifying them:
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Database: To delete or not to delete records
...onitoring purposes (or whatever you had in mind).
For temporal data, see: http://talentedmonkeys.wordpress.com/2010/05/15/temporal-data-in-a-relational-database/
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Find a class somewhere inside dozens of JAR files?
How would you find a particular class name inside lots of jar files?
34 Answers
34
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Filter Fiddler traffic
... @ and your hostname. eg, @msn.com
Fiddler documentation has good sample. http://docs.telerik.com/fiddler/knowledgebase/QuickExec
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Quickly reading very large tables as dataframes
I have very large tables (30 million rows) that I would like to load as a dataframes in R. read.table() has a lot of convenient features, but it seems like there is a lot of logic in the implementation that would slow things down. In my case, I am assuming I know the types of the columns ahead o...
In vim, how do I get a file to open at the same line number I closed it at last time?
I want to configure vim to open a file at the same place I left off at.
7 Answers
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Scrolling down both parts of a split-window at the same time in Vim
...noscrollbind
For more info, check the documentation for scroll binding - http://vimdoc.sourceforge.net/htmldoc/scroll.html#scroll-binding
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COUNT(*) vs. COUNT(1) vs. COUNT(pk): which is better? [duplicate]
...glish-like (just don't make a column with a name same as its table name) : http://www.sqlfiddle.com/#!1/98515/7
select boss.boss_name, count(subordinate)
from boss
left join subordinate on subordinate.boss_code = boss.boss_code
group by boss.boss_name
You cannot do this: http://www.sqlfiddle.com/...
Where does gcc look for C and C++ header files?
On a Unix system, where does gcc look for header files?
9 Answers
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Remove columns from dataframe where ALL values are NA
I'm having trouble with a data frame and couldn't really resolve that issue myself:
The dataframe has arbitrary properties as columns and each row represents one data set .
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