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Proper Linq where clauses
...s to write them and each have the same results as far as I can tell. For example;
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“Order by Col1, Col2” using entity framework
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Try OrderBy(x => x.Col1).ThenBy(x => x.Col2). It is a LINQ feature, anyway, not exclusive to EF.
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Maven Install on Mac OS X
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OS X prior to Mavericks (10.9) actually comes with Maven 3 built in.
If you're on OS X Lion, you won't have java installed by default. Just run java by itself and it'll prompt you to install it.
Assuming qualifications are ...
Recommended way of making React component/div draggable
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I should probably turn this into a blog post, but here's pretty solid example.
The comments should explain things pretty well, but let me know if you have questions.
And here's the fiddle to play with: http://jsfiddle.net/Af9Jt/2/
var Draggable = React.createClass({
getDefaultProps: functio...
How to add an integer to each element in a list?
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new_list = [x+1 for x in my_list]
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Heroku NodeJS http to https ssl forced redirect
I have an application up and running on heroku with express on node with https,. How do I identify the protocol to force a redirect to https with nodejs on heroku?
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python dataframe pandas drop column using int
I understand that to drop a column you use df.drop('column name', axis=1). Is there a way to drop a column using a numerical index instead of the column name?
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Entity Framework - Invalid Column Name '*_ID"
... issue between Code First and Database first EF, but I'm not sure how to fix it. I'll try to be as clear as I can, but I honestly am missing some of the understanding here myself. This is Entity Framework 4.4
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Pythonic way to print list items
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Assuming you are using Python 3.x:
print(*myList, sep='\n')
You can get the same behavior on Python 2.x using from __future__ import print_function, as noted by mgilson in comments.
With the print statement on Python 2.x you will need iteration of some ...
Label encoding across multiple columns in scikit-learn
...r ago, and generated many upvotes (including a bounty), I should probably extend this further.
For inverse_transform and transform, you have to do a little bit of hack.
from collections import defaultdict
d = defaultdict(LabelEncoder)
With this, you now retain all columns LabelEncoder as diction...
