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TCP 的那些事儿(上) - 更多技术 - 清泛网 - 专注C/C++及内核技术

...《TCP/IP 详解 卷1:协议》(当然,你也可以去读一下RFC793以及后面N多的RFC)。另外,本文我会使用英文术语,这样方便你通过这些英文关键词来查找相关的技术文档。 之所以想写这篇文章,目的有三个, 一个是想锻炼一下...
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Android微信智能心跳方案 - 更多技术 - 清泛网 - 专注C/C++及内核技术

Android微信智能心跳方案前言:在13年11月中旬时,因为基础组件组人手紧张,Leo安排我和春哥去广州轮岗支援。刚到广州的时候,Ray让我和春哥对Line和WhatsApp的心跳... 前言:在13年11月中旬时,因为基础组件组人手紧张,Leo安...
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Storyboard warning: prototype table cells must have reuse identifiers

... this warning from storyboard - prototype table cells must have reuse identifiers. 11 Answers ...
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How to line-break from css, without using ?

...mark-up there is - the <br /> element exists for a very good reason. If you want the line break because they are separate paragraphs, then simply mark them up as separate paragraphs. – Rowland Shaw Apr 24 '10 at 8:11 ...
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Splitting string with pipe character (“|”) [duplicate]

... answered Feb 3 '14 at 10:20 devnulldevnull 98.1k2727 gold badges195195 silver badges201201 bronze badges ...
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SQL Server loop - how do I loop through a set of records

... This is what I've been doing if you need to do something iterative... but it would be wise to look for set operations first. select top 1000 TableID into #ControlTable from dbo.table where StatusID = 7 declare @TableID int while exists (select * from...
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Reducing memory usage of .NET applications?

...e MSDN blog post Working set != actual memory footprint is all about demystifying the working set, process memory and how to perform accurate calculations on your total in-RAM consumption. I will not say that you should ignore the memory footprint of your application -- obviously, smaller and more ...
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Regex Last occurrence?

...f a non capturing group. The . is any character, this checks any character if it is not followed by a ``. – stema Dec 4 '11 at 12:18 ...
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INSERT with SELECT

...the parenthesis aren't required around field names. But when you start specifying values on top of the select, apparently you need () around the field names. – Kyle Mar 22 '11 at 12:53 ...
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Pandas DataFrame Groupby two columns and get counts

...).reset_index().groupby('col2')[[0]].max() Out[56]: 0 col2 A 3 B 2 C 1 D 3 share | improve this answer | follow | ...