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Is there a JavaScript MVC (micro-)framework? [closed]
...tors
Selenium and Env.js integrated testing
Documentation Engine
Automatic Concat+Compress
Error detection and reporting
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SQL: capitalize first letter only [duplicate]
...
select replace(wm_concat(new),',','-') exp_res from (select distinct initcap(substr(name,decode(level,1,1,instr(name,'-',1,level-1)+1),decode(level,(length(name)-length(replace(name,'-','')))+1,9999,instr(name,'-',1,level)-1-decode(level,1,0,i...
How to convert int to char with leading zeros?
...or SQL Server 2008 or above:
DECLARE @DesiredLenght INT = 20;
SELECT
CONCAT(
REPLICATE(
'0',
(@DesiredLenght-LEN([Column])) * (1+SIGN(@DesiredLenght-LEN([Column])) / 2) ),
[Column])
FROM Table;
Multiplication by SIGN expression is equivalent to MAX(0, ...
How to get a list of MySQL views?
... This is better, as I can manipulate it to 'SHOW CREATE' with concat.
– Moshe L
Sep 10 '17 at 5:57
1
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How to convert an int value to string in Go?
...)
func main() {
t := strconv.Itoa(123)
fmt.Println(t)
}
You can concat strings simply by +'ing them, or by using the Join function of the strings package.
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How to insert a value that contains an apostrophe (single quote)?
...e apostrophe's ASCII table lookup value, 39. The string values can then be concatenated together with a concatenate operator.
Insert into Person
(First, Last)
Values
'Joe',
concat('O',char(39),'Brien')
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How to select rows from a DataFrame based on column values?
..., 3000, 10000, 30000],
dtype=float
)
for j in res.columns:
d = pd.concat([df] * j, ignore_index=True)
for i in res.index:a
stmt = '{}(d)'.format(i)
setp = 'from __main__ import d, {}'.format(i)
res.at[i, j] = timeit(stmt, setp, number=50)
Special Timing
Looki...
Split string on the first white space occurrence
...lit(/\s(?=\S+$)/).reverse().map(reverse)
or maybe
re = /^\S+\s|.*/g;
[].concat.call(re.exec(str), re.exec(str))
2019 update: as of ES2018, lookbehinds are supported:
str = "72 tocirah sneab"
s = str.split(/(?<=^\S+)\s/)
console.log(s)
...
Replacing column values in a pandas DataFrame
...'] could be 'male', 'female' or 'neutral', do something like this:
w = pd.concat([w, pd.get_dummies(w['female'], drop_first = True)], axis = 1])
w.drop('female', axis = 1, inplace = True)
Then you are left with two new columns giving you the dummy coding of 'female' and you got rid of the column ...
Drop all duplicate rows across multiple columns in Python Pandas
... much clearer, therefore:
In [352]:
DG=df.groupby(['A', 'C'])
print pd.concat([DG.get_group(item) for item, value in DG.groups.items() if len(value)==1])
A B C
2 foo 1 B
3 bar 1 A
[2 rows x 3 columns]
shar...