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When to use ' (or quote) in Lisp?
... passed to it are evaluated. This means you can write this:
(* (+ a 2)
3)
Which in turn evaluates (+ a 2), by evaluating a and 2. The value of the symbol a is looked up in the current variable binding set, and then replaced. Say a is currently bound to the value 3:
(let ((a 3))
(* (+ a 2)
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How can I format a decimal to always show 2 decimal places?
...s Decimal('0.01')
>>> # Round to two places
>>> Decimal('3.214').quantize(TWOPLACES)
Decimal('3.21')
>>> # Validate that a number does not exceed two places
>>> Decimal('3.21').quantize(TWOPLACES, context=Context(traps=[Inexact]))
Decimal('3.21')
>>> Deci...
JdbcTemplate queryForInt/Long is deprecated in Spring 3.2.2. What should it be replaced by?
... queryforInt/queryforLong methods in JdbcTemplate are deprecated in Spring 3.2. I can't find out why or what is considered the best practice to replace existing code using these methods.
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Read stream twice
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Captain Man
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answered Feb 29 '12 at 14:59
Paul GrimePaul Grime
...
Why does the order of the loops affect performance when iterating over a 2D array?
...mensional. So while you imagine your array like this:
0,0 | 0,1 | 0,2 | 0,3
----+-----+-----+----
1,0 | 1,1 | 1,2 | 1,3
----+-----+-----+----
2,0 | 2,1 | 2,2 | 2,3
Your computer stores it in memory as a single line:
0,0 | 0,1 | 0,2 | 0,3 | 1,0 | 1,1 | 1,2 | 1,3 | 2,0 | 2,1 | 2,2 | 2,3
In the 2...
Precision String Format Specifier In Swift
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Why don't structs support inheritance?
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edited Oct 9 '15 at 11:53
nevermind
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answered Aug 3 '09 at 16...
Why isn't my Pandas 'apply' function referencing multiple columns working? [closed]
...
381
Seems you forgot the '' of your string.
In [43]: df['Value'] = df.apply(lambda row: my_test(r...
How to compare two floating point numbers in Bash?
...s in scientific format, provided a capital letter E is employed, e.g. num1=3.44E6
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Find integer index of rows with NaN in pandas dataframe
...n use to index back into df, e.g.:
df['a'].ix[index[0]]
>>> 1.452354
For the integer index:
df_index = df.index.values.tolist()
[df_index.index(i) for i in index]
>>> [3, 6]
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