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Android - border for button
...917" />
</shape>
And add button to your XML activity layout and set background android:background="@drawable/button_border".
<Button
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:background="@drawable/button_border"
android:text="Butto...
How to import existing *.sql files in PostgreSQL 8.4?
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What does the `#` operator mean in Scala?
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Various ways to remove local Git changes
...t out by reading the post in Ube's link. But to attempt an answer:
Hard reset
git reset --hard [HEAD]
completely remove all staged and unstaged changes to tracked files.
I find myself often using hard resetting, when I'm like "just undo everything like if I had done a complete re-clone from the...
Rollback a Git merge
...ou do a fast-forward merge, the second one you describe, you can use git reset to get back to the previous state:
git reset --hard <commit_before_merge>
You can find the <commit_before_merge> with git reflog, git log, or, if you're feeling the moxy (and haven't done anything else): gi...
Printing Lists as Tabular Data
... If the data in the body is larger than the headers, you can set column width based on the first row of data. for t in data[0]: ...
How do I download a file over HTTP using Python?
...
It is possible to stream large files by setting stream=True in the request. You can then call iter_content() on the response to read a chunk at a time.
– kvance
Jul 28 '13 at 17:14
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GitHub clone from pull request?
... a new branch that is on the state of the pull request.
You might want to set up an alias by running
git config --global alias.pro '!f() { git fetch -fu ${2:-origin} refs/pull/$1/head:pr/$1 && git checkout pr/$1; }; f'
Now you can checkout any PR by running git pr <pr_number>, or g...
How to get a function name as a string?
In Python, how do I get a function name as a string, without calling the function?
12 Answers
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Convert column classes in data.table
...
What is the idiomatic way of doing this for a subset of columns (instead of all of them)? I've defined a character vector convcols of columns. dt[,lapply(.SD,as.numeric),.SDcols=convcols] is almost instant while dt[,convcols:=lapply(.SD,as.numeric),.SDcols=convcols] almost ...