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Looping through array and removing items, without breaking for loop
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edited Dec 8 '17 at 17:03
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4 r...
Is calculating an MD5 hash less CPU intensive than SHA family functions?
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Yes, MD5 is somewhat less CPU-intensive. On my Intel x86 (Core2 Quad Q6600, 2.4 GHz, using one core), I get this in 32-bit mode:
MD5 411
SHA-1 218
SHA-256 118
SHA-512 46
and this in 64-bit mode:
MD5 407
SHA-1 312
SHA-256 148
SHA-512 189
Figures are in megabytes ...
Add missing dates to pandas dataframe
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270
You could use Series.reindex:
import pandas as pd
idx = pd.date_range('09-01-2013', '09-30-201...
Boolean literals in PowerShell
...ts are true, for example. null, empty strings, empty arrays and the number 0 are false.
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How do I call an Angular.js filter with multiple arguments?
...a template to censor out all digits:
<p>{{ myText | regexReplace: '[0-9]':'X' }}</p>
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What is the Scala annotation to ensure a tail recursive function is optimized?
...ps and tricks):
C:\Prog\Scala\tests>scala
Welcome to Scala version 2.8.0.RC5 (Java HotSpot(TM) 64-Bit Server VM, Java 1.6.0_18).
Type in expressions to have them evaluated.
Type :help for more information.
scala> import scala.annotation.tailrec
import scala.annotation.tailrec
scala> clas...
How to convert comma-delimited string to list in Python?
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edited Apr 18 '13 at 0:36
answered Oct 21 '11 at 1:35
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What is the most efficient way to create a dictionary of two pandas Dataframe columns?
...Speed comparion (using Wouter's method)
In [6]: df = pd.DataFrame(randint(0,10,10000).reshape(5000,2),columns=list('AB'))
In [7]: %timeit dict(zip(df.A,df.B))
1000 loops, best of 3: 1.27 ms per loop
In [8]: %timeit pd.Series(df.A.values,index=df.B).to_dict()
1000 loops, best of 3: 987 us per loop...
How to write DataFrame to postgres table?
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Starting from pandas 0.14 (released end of May 2014), postgresql is supported. The sql module now uses sqlalchemy to support different database flavors. You can pass a sqlalchemy engine for a postgresql database (see docs). E.g.:
from sqlalchemy...
How to use split?
...= 'something -- something_else';
var substr = str.split(' -- ');
// substr[0] contains "something"
// substr[1] contains "something_else"
If this value is in some field you could also do:
tRow.append($('<td>').text($('[id$=txtEntry2]').val().split(' -- ')[0])));
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