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What does “yield break;” do in C#?
... next time MoveNext is called, execution continues from there. yield break sets Current to null, signaling the end of this enumerator, so that a foreach (var x in myEnum()) will end.
– Wolfzoon
Oct 10 '16 at 17:23
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How do I remove all non-ASCII characters with regex and Notepad++?
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Works good, but I had to set Encoding->Encode in ANSI. Was unable to find anything otherwise.
– FoamyGuy
Oct 14 '14 at 14:22
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Understanding “randomness”
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Neither is 'more random'.
rand() generates a predictable set of numbers based on a psuedo-random seed (usually based on the current time, which is always changing). Multiplying two consecutive numbers in the sequence generates a different, but equally predictable, sequence of numbe...
Execute Insert command and return inserted Id in Sql
...r(50),
@occ varchar(50),
@New_MEM_BASIC_ID int OUTPUT
AS
BEGIN
SET NOCOUNT ON;
INSERT INTO Mem_Basic
VALUES (@na, @occ)
SELECT @New_MEM_BASIC_ID = SCOPE_IDENTITY()
END
C# code:
public int CreateNewMember(string Mem_NA, string Mem_Occ )
{
// values 0 --> -99 are SQ...
How to generate a random number in C++?
I'm trying to make a game with dice, and I need to have random numbers in it (to simulate the sides of the die. I know how to make it between 1 and 6). Using
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Determine if a sequence contains all elements of another sequence using Linq [duplicate]
Given two sets of values:
4 Answers
4
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Equation (expression) parser with precedence?
I've developed an equation parser using a simple stack algorithm that will handle binary (+, -, |, &, *, /, etc) operators, unary (!) operators, and parenthesis.
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How do you read from stdin?
I'm trying to do some of the code golf challenges, but they all require the input to be taken from stdin . How do I get that in Python?
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Detecting a mobile browser
I'm looking for a function which return boolean value if user has mobile browser or not.
36 Answers
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Find the max of two or more columns with pandas
...m.seed(0)
df_ = pd.DataFrame(np.random.randn(5, 1000))
perfplot.show(
setup=lambda n: pd.concat([df_] * n, ignore_index=True),
kernels=[
lambda df: df.assign(new=df.max(axis=1)),
lambda df: df.assign(new=df.values.max(1)),
lambda df: df.assign(new=np.nanmax(df.values...