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CSV API for Java [closed]
Can anyone recommend a simple API that will allow me to use read a CSV input file, do some simple transformations, and then write it.
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Relation between CommonJS, AMD and RequireJS?
...hingElse = function() { return someModule.doSomething() + "bar"; };
Basically, CommonJS specifies that you need to have a require() function to fetch dependencies, an exports variable to export module contents and a module identifier (which describes the location of the module in question in relat...
How do I add a margin between bootstrap columns without wrapping [duplicate]
... Sep 25 '13 at 17:00
Charles IngallsCharles Ingalls
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How to convert An NSInteger to an int?
... front of the NSInteger? For example, (int)myInteger whenever you want to call the integer form, so that you do not have to create a new variable.
– chandhooguy
Dec 28 '14 at 22:05
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Get list of all routes defined in the Flask app
... with the @app.route('/...') decorator. Is there a way to get a list of all the routes that have been declared throughout my app? Perhaps there is some method I can call on the app object?
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MySQL > Table doesn't exist. But it does (or it should)
I changed the datadir of a MySQL installation and all the bases moved correctly except for one.
I can connect and USE the database. SHOW TABLES also returns me all the tables correctly, and the files of each table exists on the MySQL data directory.
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What are best practices for validating email addresses on iOS 2.0
... ; "]", or "\"
Yes, that means +, ', etc are all legit.
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Using mixins vs components for code reuse in Facebook React
...inning to use Facebook React in a Backbone project and so far it's going really well.
However, I noticed some duplication creeping into my React code.
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MFC学习总结 (90个技巧) dlg 上建立View - C/C++ - 清泛网 - 专注C++内核技术
...{AFX_DATA_MAP(CPrintDlg)
""// NOTE: the ClassWizard will add DDX and DDV calls here
"DDX_Control(pDX, IDC_MyButton, m_button);
"//}}AFX_DATA_MAP
然后可以在该函数的最后进行初始化：
"m_button.EnableWindow(FALSE);
到这里已经实现了改变属性。如果要动态改变其属...
Best way to assert for numpy.array equality?
..._equal is more reliable.
update
A few versions ago numpy obtained assert_allclose which is now my favorite since it allows us to specify both absolute and relative error and doesn't require decimal rounding as the closeness criterion.
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