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The cause of “bad magic number” error when loading a workspace and how to avoid it?
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So did I, when I accidentally used load() instead of read.csv(). :p
– Waldir Leoncio
Feb 12 '14 at 19:31
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Ruby: What is the easiest way to remove the first element from an array?
...eful when extracting info without an aditional step header, *properties = CSV.read(file_path,encoding: 'ISO-8859-1')
– juliangonzalez
Feb 15 '17 at 17:23
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How to reference constants in EL?
...d Apr 1 '16 at 9:32
Alexander Kjäll
3,90633 gold badges2626 silver badges5252 bronze badges
answered Jun 25 '13 at 15:18
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新手程序员应该知道的7件事 - 创意 - 清泛网 - 专注C/C++及内核技术
...刚开始编程的时候，对于计算机我有很多不明白的地方。文件系统，网络连接以及内存机制就是三个明显的例子。不了解这些，意味着我可能会不知道一些我想要呈现的编程结构的目标。”
2、知道命令行工具
作为一个开发人...
Java 理论与实践: 线程池与工作队列 - 更多技术 - 清泛网 - 专注C/C++及内核技术
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为什么要用线程池？
诸如 Web 服务器、数据库服务器、文件服务器或邮件服务器之类的许多服务器应用程序都面向处理来自某些远程来源的大量短小的任务。请求以某种方式到达服务器，这种方式可能是通过网络协议（例如 HT...
当ORACLE 11G 遇到 JUNIPER 防火墙 - 数据库(内核) - 清泛网 - 专注C/C++及内核技术
....net/bisal/article/details/36424093
第二个说法
需要在监听文件后面加参数
原文地址
http://wenku.baidu.com/link?url=8-X35W7SjEuz-L7Q_Hv3E965SwEt4BbvryWiY-jE9BYeukFG5rvhWuoUtsag-Z5sgPyOPVnMIOwKb3tFzqq_IGmpnrwZYeL9rqSr8LDVRva
这个是描述ORALCE 11G以前的版本。...
Is the LIKE operator case-sensitive with MSSQL Server?
In the documentation about the LIKE operator , nothing is told about the case-sensitivity of it. Is it? How to enable/disable it?
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How to do case insensitive string comparison?
...working with. This is important as denoted in the MDN docs
in Swedish, ä and a are separate base letters
Sensitivity options
Browser support
As of time of posting, UC Browser for Android and Opera Mini do not support locale and options parameters. Please check https://caniuse.com/#search=...
Dump Mongo Collection into JSON format
... The mongoexport utility takes a collection and exports to either JSON or CSV. You can specify a filter for the query, or a list of fields to output
Read more here: http://www.mongodb.org/display/DOCS/mongoexport
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“for line in…” results in UnicodeDecodeError: 'utf-8' codec can't decode byte
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Try this to read using pandas
pd.read_csv('u.item', sep='|', names=m_cols , encoding='latin-1')
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