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JavaScript OR (||) variable assignment explanation
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edited Feb 5 '12 at 20:43
Lightness Races in Orbit
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Convert JSON string to dict using Python
I'm a little bit confused with JSON in Python.
To me, it seems like a dictionary, and for that reason
I'm trying to do that:
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How do I make a Git commit in the past?
... in an --env-filter would rewrite the date of every commit. Also, it would be unusual to use git commit inside --index-filter.
You are dealing with multiple, independent problems here.
Specifying Dates Other Than “now”
Each commit has two dates: the author date and the committer date. You can...
Contains case insensitive
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if (referrer.toLowerCase().indexOf("ral") === -1) {
The same can also be achieved using a Regular Expression (especially useful when you want to test against dynamic patterns):
if (!/Ral/i.test(referrer)) {
// ^i = Ignore case flag for RegExp
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How to convert a data frame column to numeric type?
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Since (still) nobody got check-mark, I assume that you have some practical issue in mind, mostly because you haven't specified what type of vector you want to convert to numeric. I suggest that you should apply transform function in order to...
How to convert an xml string to a dictionary?
...to a Python dictionary, the same way it is done in Django's simplejson library.
16 Answers
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When to use in vs ref vs out
...eyword out instead of ref . While I (I think) understand the difference between the ref and out keywords (that has been asked before ) and the best explanation seems to be that ref == in and out , what are some (hypothetical or code) examples where I should always use out and not ref...
How do I map lists of nested objects with Dapper
I'm currently using Entity Framework for my db access but want to have a look at Dapper. I have classes like this:
7 Answer...
Generate a random letter in Python
Is there a way to generate random letters in Python (like random.randint but for letters)? The range functionality of random.randint would be nice but having a generator that just outputs a random letter would be better than nothing.
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Call apply-like function on each row of dataframe with multiple arguments from each row
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You can apply apply to a subset of the original data.
dat <- data.frame(x=c(1,2), y=c(3,4), z=c(5,6))
apply(dat[,c('x','z')], 1, function(x) sum(x) )
or if your function is just sum use the vectorized version:
rowSums(dat[,c('x','z')])
[1] 6 8...