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How to manually expand a special variable (ex: ~ tilde) in bash
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+1 -- I was needing to expand ~$some_other_user and eval works fine when $HOME will not work because I don't need the current user home.
– olivecoder
Sep 10 '13 at 11:30
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Print string to text file
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text_file = open("Output.txt", "w")
text_file.write("Purchase Amount: %s" % TotalAmount)
text_file.close()
If you use a context manager, the file is closed automatically for you
with open("Output.txt", "w") as text_file:
t...
Any way to replace characters on Swift String?
...n leaves me with and optional string. Original String looks like this: "x86_64" and the new mapping looks like "Optional([\"x\", \"8\", \"6\", \"_\", \"6\", \"4\"])"
– John Shelley
Oct 19 '15 at 15:07
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iOS start Background Thread
...ou'd probably be better off using Grand Central Dispatch, though:
dispatch_async(dispatch_get_global_queue(DISPATCH_QUEUE_PRIORITY_DEFAULT, 0), ^{
[self getResultSetFromDB:docids];
});
GCD is a newer technology, and is more efficient in terms of memory overhead and lines of code.
Updated w...
Ways to implement data versioning in MongoDB
...nt contain a dictionary of time-stamped diffs. Something like this:
{
_id : "id of address book record",
changes : {
1234567 : { "city" : "Omaha", "state" : "Nebraska" },
1234568 : { "city" : "Kansas City", "state" : "Missouri" }
}
}
To make...
Equivalent C++ to Python generator pattern
...:
// (implicit aliases)
public std::iterator<
std::input_iterator_tag,
std::pair<unsigned, unsigned>
>
{
// C++03
typedef void (PairSequence::*BoolLike)();
void non_comparable();
public:
// C++11 (explicit aliases)
using iterator_category = std::inpu...
How to normalize an array in NumPy?
... answered Jan 9 '14 at 21:15
ali_mali_m
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Random row selection in Pandas dataframe
... Thanks @eumiro. I also worked out that df.ix[np.random.random_integers(0, len(df), 10)] would also work.
– John
Apr 10 '13 at 10:58
7
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Python set to list
...k that you didn't overwrite list by accident:
>>> assert list == __builtins__.list
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How to print the contents of RDD?
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// For implicit conversion from RDD to DataFrame
import spark.implicits._
fruits = sc.parallelize([("apple", 1), ("banana", 2), ("orange", 17)])
// convert to DF then show it
fruits.toDF().show()
This will show the top 20 lines of your data, so the size of your data should not be an issue.
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