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Pandas: create two new columns in a dataframe with values calculated from a pre-existing column
...s also much faster on larger DataFrames
df = pd.DataFrame({'a': [1,2,3] * 100000, 'b': [2,3,4] * 100000})
DataFrame created with 300,000 rows
%timeit df["A1"], df["A2"] = calculate(df['a'])
2.65 ms ± 92.4 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
%timeit df["A1"], df["A2"] = z...
Can I serve multiple clients using just Flask app.run() as standalone?
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What if I am looking at a max of 100 users? Can I just assign processes=100 and be happy with it? In my case, I only need static files, no HTTP Post methods. My requirement is, I want to run all Flask threads as part of my parent app, so that they all can sh...
Bootstrap combining rows (rowspan)
...
100
Divs stack vertically by default, so there is no need for special handling of "rows" within a ...
How to find if a native DLL file is compiled as x64 or x86?
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It required mspdb100.dll:(
– Dmitry
Jul 25 '14 at 21:48
1
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VC MFC工具栏(CToolBar)控件 - C/C++ - 清泛网 - 专注C/C++及内核技术
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m_Toolbar.LoadToolBar(IDR_TOOLBAR1);//装载工具栏资源
CRect rect(100,100,200,200);//
m_Toolbar.MoveWindow(rect);//移动工具栏在父窗口的位置
m_Toolbar.ShowWindow(SW_SHOW);//显示工具栏
但这样显示工具栏不是很方便，特别是当窗口大小改变后，还要计...
Select random lines from a file
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Sort the file randomly and pick first 100 lines:
$ sort -R input | head -n 100 >output
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AngularJS : How to watch service variables?
...on(){
self.count++;
$timeout(self.counter, 1000);
}
self.addOneHundred = function(){
self.count+=100;
}
self.counter();
}
return new DemoService();
})
.controller("DemoControll...
omp parallel vs. omp parallel for
...lloc(...); // this data is thread private
#pragma omp for
for(1...100) // first parallelized cycle
{
}
#pragma omp single
{} // make some single thread processing
#pragma omp for // second parallelized cycle
for(1...100)
{
}
#pragma omp single
{}...
Select by partial string from a pandas DataFrame
...ise, regex search is slower than substring search:
df2 = pd.concat([df1] * 1000, ignore_index=True)
%timeit df2[df2['col'].str.contains('foo')]
%timeit df2[df2['col'].str.contains('foo', regex=False)]
6.31 ms ± 126 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
2.8 ms ± 241 µs per l...
Is a view faster than a simple query?
...ten need to report sales for tax purposes and we find that we've only sold 100 copies of our software in our home country. By creating an indexed view of just the Lithuanian records, we get to keep the records we need in an indexed cache as described in the MS documentation. When we run our reports...