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Should you always favor xrange() over range()?
...(original)
+++ range_test.py (refactored)
@@ -1,7 +1,7 @@
for x in range(20):
- a=range(20)
+ a=list(range(20))
b=list(range(20))
c=[x for x in range(20)]
d=(x for x in range(20))
- e=xrange(20)
+ e=range(20)
As you can see, when used in a for loop or comprehension, or...
How do I implement __getattribute__ without an infinite recursion error?
...ead, it works:
class D(object):
def __init__(self):
self.test=20
self.test2=21
def __getattribute__(self,name):
if name=='test':
return 0.
else:
return object.__getattribute__(self, name)
This works because object (in this example) i...
Most efficient way to make the first character of a String lower case?
... Mode Cnt Score Error Units
MyBenchmark.test1 thrpt 20 10463220.493 ± 288805.068 ops/s
MyBenchmark.test2 thrpt 20 14730158.709 ± 530444.444 ops/s
MyBenchmark.test3 thrpt 20 16079551.751 ± 56884.357 ops/s
MyBenchmark.test4 thrpt 20 9762578.446 ± 584316.582...
What is the use of GO in SQL Server Management Studio & Transact SQL?
...
answered Feb 19 '10 at 20:18
SQLMenaceSQLMenace
122k2323 gold badges194194 silver badges218218 bronze badges
...
Postgres: How to do Composite keys?
...T NULL,
tag_id SERIAL NOT NULL,
tag1 VARCHAR(20),
tag2 VARCHAR(20),
tag3 VARCHAR(20),
PRIMARY KEY(question_id, tag_id)
);
NOTICE: CREATE TABLE will create implicit sequence "tags_tag_id_seq" for serial column "tags.ta...
Can I change the height of an image in CSS :before/:after pseudo-elements?
... {
background-image: url('/images/pdf.png');
background-size: 10px 20px;
display: inline-block;
width: 10px;
height: 20px;
content:"";
}
See the full Compatibility Table at the MDN.
share
...
What is JavaScript's highest integer value that a number can go to without losing precision?
...
answered Nov 20 '08 at 22:53
JimmyJimmy
77.8k1616 gold badges113113 silver badges135135 bronze badges
...
Combine two data frames by rows (rbind) when they have different sets of columns
...frame(a = c(1:5), b = c(6:10))
df2 <- data.frame(a = c(11:15), b = c(16:20), c = LETTERS[1:5])
dplyr::bind_rows(df1, df2)
a b c
1 1 6 <NA>
2 2 7 <NA>
3 3 8 <NA>
4 4 9 <NA>
5 5 10 <NA>
6 11 16 A
7 12 17 B
8 13 18 C
9 14 19 D
10 15...