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JOIN two SELECT statement results
...lts of 2 sql SELECT statements in one statement?
I have a database of tasks where each record is a separate task, with deadlines (and a PALT , which is just an INT of days from start to deadline. Age is also an INT number of days.)
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Choosing a Windows automation scripting language. AutoIt vs Autohotkey [closed]
...tomation scripting language. Which one do you recommend; AutoIt , AutoHotkey , or an other?
7 Answers
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Example using Hyperlink in WPF
I've seen several suggestions, that you can add hyperlink to WPF application through Hyperlink control.
10 Answers
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Want to exclude file from “git diff”
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Omg, drivers and awk to exclude a lousy file ? Since git 1.9 something you can:
git diff -- . ':(exclude)db/irrelevant.php' ':(exclude)db/irrelevant2.php'
Ah, elegance! See the quoted answer and for details this answer by @torek
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How do I delete a Git branch locally and remotely?
...the remote name is origin.
In such a case you'll have to use the command like so.
$ git push -d origin <branch_name>
Delete Local Branch
To delete the local branch use one of the following:
$ git branch -d branch_name
$ git branch -D branch_name
Note: The -d option is an alias for --del...
How do I insert datetime value into a SQLite database?
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itowlsonitowlson
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Handling exceptions from Java ExecutorService tasks
...Java's ThreadPoolExecutor class to run a large number of heavy weight tasks with a fixed number of threads. Each of the tasks has many places during which it may fail due to exceptions.
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How do I detect what .NET Framework versions and service packs are installed?
A similar question was asked here , but it was specific to .NET 3.5. Specifically, I'm looking for the following:
13 Answe...
How Big can a Python List Get?
... answered May 12 '09 at 23:48
UnknownUnknown
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How to replace NaN values by Zeroes in a column of a Pandas Dataframe?
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I believe DataFrame.fillna() will do this for you.
Link to Docs for a dataframe and for a Series.
Example:
In [7]: df
Out[7]:
0 1
0 NaN NaN
1 -0.494375 0.570994
2 NaN NaN
3 1.876360 -0.229738
4 NaN NaN
In [8]: df.fill...