大约有 3,285 项符合查询结果（耗时：0.0271秒） [XML]
What is the best data type to use for money in C#?
...882.aspx
The nicity of this is that all your summation can be done using (fast) integer arithmet
Check if a variable is of function type
...ng on your browser. In Chrome typeof(obj) === 'function' appears to be the fastest by far; however, in Firefox obj instanceof Function is the clear winner.
– Justin Warkentin
Oct 3 '12 at 18:04
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Named string formatting in C#
...post has details. It does the DataBinder.Eval thing too, but is still very fast.
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Concatenating two lists - difference between '+=' and extend()
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Well actually, extends is faster than the INPLACE_ADD() i.e. the list concatenation. gist.github.com/mekarpeles/3408081
– Archit Kapoor
Jul 18 '18 at 7:03
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SQL Server Management Studio alternatives to browse/edit tables and run queries [closed]
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Simple, fast to download, no installation required,free for personal use and it does more then simple editing. This is a really good choice.
– Matteo Conta
May 14 '15 at 9:09
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Reducing Django Memory Usage. Low hanging fruit?
...ts, that would be even better to your memory. spawning seems to be the new fast scalable way to run python web applications.
EDIT: I don't see how switching to mod_wsgi could be "tricky". It should be a very easy task. Please elaborate on the problem you are having with the switch.
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Query for documents where array size is greater than 1
...rrayLength": {$gt: 1} });
It will be better solution, and will work much faster (you can create index on it).
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Remove empty strings from a list of strings
... If you're that pressed for performance, itertool's ifilter is even faster—>>> timeit('filter(None, str_list)', 'str_list=["a"]*1000', number=100000) 2.3468542098999023; >>> timeit('itertools.ifilter(None, str_list)', 'str_list=["a"]*1000', number=100000) 0.044421911239624...
Can you issue pull requests from the command line on GitHub?
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for fast command using hub : hub pull-request -m "message pull request" -b master -h your_branch
– Gujarat Santana
May 15 '18 at 2:06
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How can I read large text files in Python, line by line, without loading it into memory?
...ecreated the cp command using line by line reading and writing. It's CRAZY FAST.
#!/usr/bin/env python3.6
import sys
with open(sys.argv[2], 'w') as outfile:
with open(sys.argv[1]) as infile:
for line in infile:
outfile.write(line)
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