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原创 基于python实现安徽省天气预警信息地图可视化报警并推送信息至微信联系人

基于python实现安徽省天气预警信息地图可视化报警import jsonimport requestsimport simplejsonfrom pyecharts import Mapfrom CebUtil import DateUtilfrom bs4 import BeautifulSoup#定义天气信息类class WeatherClass: def __init__(self,CITY,LEVELCODE,SIGNALTYPE,QUXIAN): s

2021-03-25 14:49:11 682 1

原创 Foxmail邮箱数据清理操作手册V1.1

https://doc.qmail.com/docs/p/v2_9aeb36be8b84e01a7eb2bc451517f?proxy=1&docsid=6D951AC2D06A08CA1066A11D64F1A1B6&op=view&from=3rd

2019-11-10 20:40:46 2083

原创 通过URL的方式请求WebService服务

1.创建服务端package com.test;import javax.jws.WebMethod;import javax.jws.WebService;import javax.xml.ws.Endpoint;@WebServicepublic class WebTest { @WebMethod public void testWebservice(String data){ Syst...

2018-02-09 17:10:20 9294

原创 基于python的pc终端信息采集解决方案

基于python的pc终端信息采集解决方案目标需求概述:能够采集终端电脑的ip/mac/计算机名/补丁等基础信息,按需实现指定软件版本的查询,如:防病毒软件版本、FoxMail软件版本采集。总体设计概述:基于C/S架构实现整个系统的搭建,基于python实现客户端的开发,基于java SSM实现后台服务端的搭建。客户端和服务端之间能够通讯,能够实现数据的交互。编码实施过程中的困难点:部分信息采集需借助windows的bat程序实现,如获取补丁信息,需要通过systeminfo实现,需要解决pyt

2021-03-24 11:59:55 429 1

原创 基于spring配置简单的定时任务(批处理)

一:找到spring.xml文件二:添加 xmlns:task="http://www.springframework.org/schema/task"             添加 http://www.springframework.org/schema/task http://www.springframework.org/schema/task/spring-task-3.0.xsd添加后...

2018-02-12 16:49:42 760

原创 java中的类修饰符、成员变量修饰符、方法修饰符

java中的类修饰符、成员变量修饰符、方法修饰符。类修饰符:public(访问控制符),将一个类声明为公共类,他可以被任何对象访问,一个程序的主类必须是公共类。abstract,将一个类声明为抽象类,没有实现的方法,需要子类提供方法实现。final,将一个类生命为最终(即非继承类),表示他不能被其他类继承。friendly,默认的修饰符,只有在相同包中的对象才能使用这样的类。  成员变量修饰符:p...

2018-02-11 18:40:02 271

原创 注释模板适用eclipse和myEclipse

设置:Windows-》preference-》java-》code style-》code template-》comments*********************************************类/接口的注释选择Windows-》preference-》java-》code style-》code template-》comments-》types/** * @Descr...

2018-02-11 18:17:50 137

基于python和微信机器人实现安徽省天气预警信息地图可视化展示

基于python和微信机器人实现安徽省天气预警信息地图可视化展示,针对恶劣天气进行预警,并把预警信息推送到指定微信联系人。

2021-03-25

python-3.7.1.zip

Python3.7.1 32位,下载完成后双击安装,勾选Add Python 3.7 to PATH,等待安装完成即可!

2019-12-27

Python安装包version 3.1.5

This is Python version 3.1.5 ============================ Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012 Python Software Foundation. All rights reserved. Python 3.x is a new version of the language, which is incompatible with the 2.x line of releases. The language is mostly the same, but many details, especially how built-in objects like dictionaries and strings work, have changed considerably, and a lot of deprecated features have finally been removed. Build Instructions ------------------ On Unix, Linux, BSD, OSX, and Cygwin: ./configure make make test sudo make install This will install Python as python3. You can pass many options to the configure script; run "./configure --help" to find out more. On OSX and Cygwin, the executable is called python.exe; elsewhere it's just python. On Mac OS X, if you have configured Python with --enable-framework, you should use "make frameworkinstall" to do the installation. Note that this installs the Python executable in a place that is not normally on your PATH, you may want to set up a symlink in /usr/local/bin. On Windows, see PCbuild/readme.txt. If you wish, you can create a subdirectory and invoke configure from there. For example: mkdir debug cd debug ../configure --with-pydebug make make test (This will fail if you *also* built at the top-level directory. You should do a "make clean" at the toplevel first.) What's New ---------- We try to have a comprehensive overview of the changes in the "What's New in Python 3.1" document, found at http://docs.python.org/3.1/whatsnew/3.1.html For a more detailed change log, read Misc/NEWS (though this file, too, is incomplete, and also doesn't list anything merged in from the 2.7 release under development). If you want to install multiple versions of Python see the section below entitled "Installing multiple versions". Documentation ------------- Documentation for Python 3.1 is online, updated twice a day: http://docs.python.org/3.1/ All documentation is also available online at the Python web site (http://docs.python.org/, see below). It is available online for occasional reference, or can be downloaded in many formats for faster access. The documentation is downloadable in HTML, PostScript, PDF, LaTeX (through 2.5), and reStructuredText (2.6+) formats; the LaTeX and reStructuredText versions are primarily for documentation authors, translators, and people with special formatting requirements. Converting From Python 2.x to 3.x --------------------------------- Python starting with 2.6 will contain features to help locating code that needs to be changed, such as optional warnings when deprecated features are used, and backported versions of certain key Python 3.x features. A source-to-source translation tool, "2to3", can take care of the mundane task of converting large amounts of source code. It is not a complete solution but is complemented by the deprecation warnings in 2.6. See http://docs.python.org/py3k/library/2to3.html for more information. Testing ------- To test the interpreter, type "make test" in the top-level directory. This runs the test set twice (once with no compiled files, once with the compiled files left by the previous test run). The test set produces some output. You can generally ignore the messages about skipped tests due to optional features which can't be imported. If a message is printed about a failed test or a traceback or core dump is produced, something is wrong. On some Linux systems (those that are not yet using glibc 6), test_strftime fails due to a non-standard implementation of strftime() in the C library. Please ignore this, or upgrade to glibc version 6. By default, tests are prevented from overusing resources like disk space and memory. To enable these tests, run "make testall". IMPORTANT: If the tests fail and you decide to mail a bug report, *don't* include the output of "make test". It is useless. Run the failing test manually, as follows: ./python Lib/test/regrtest.py -v test_whatever (substituting the top of the source tree for '.' if you built in a different directory). This runs the test in verbose mode. Installing multiple versions ---------------------------- On Unix and Mac systems if you intend to install multiple versions of Python using the same installation prefix (--prefix argument to the configure script) you must take care that your primary python executable is not overwritten by the installation of a different version. All files and directories installed using "make altinstall" contain the major and minor version and can thus live side-by-side. "make install" also creates ${prefix}/bin/python3 which refers to ${prefix}/bin/pythonX.Y. If you intend to install multiple versions using the same prefix you must decide which version (if any) is your "primary" version. Install that version using "make install". Install all other versions using "make altinstall". For example, if you want to install Python 2.5, 2.6 and 3.0 with 2.6 being the primary version, you would execute "make install" in your 2.6 build directory and "make altinstall" in the others. Issue Tracker and Mailing List ------------------------------ We're soliciting bug reports about all aspects of the language. Fixes are also welcome, preferable in unified diff format. Please use the issue tracker: http://bugs.python.org/ If you're not sure whether you're dealing with a bug or a feature, use the mailing list: [email protected] To subscribe to the list, use the mailman form: http://mail.python.org/mailman/listinfo/python-dev/ Proposals for enhancement ------------------------- If you have a proposal to change Python, you may want to send an email to the comp.lang.python or python-ideas mailing lists for inital feedback. A Python Enhancement Proposal (PEP) may be submitted if your idea gains ground. All current PEPs, as well as guidelines for submitting a new PEP, are listed at http://www.python.org/dev/peps/. Release Schedule ---------------- See PEP 375 for release details: http://www.python.org/dev/peps/pep-0375/ Copyright and License Information --------------------------------- Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008 Python Software Foundation. All rights reserved. Copyright (c) 2000 BeOpen.com. All rights reserved. Copyright (c) 1995-2001 Corporation for National Research Initiatives. All rights reserved. Copyright (c) 1991-1995 Stichting Mathematisch Centrum. All rights reserved. See the file "LICENSE" for information on the history of this software, terms & conditions for usage, and a DISCLAIMER OF ALL WARRANTIES. This Python distribution contains *no* GNU General Public License (GPL) code, so it may be used in proprietary projects. There are interfaces to some GNU code but these are entirely optional. All trademarks referenced herein are property of their respective holders.

2018-02-13

Java编程规范 提供一整套编写高效可靠的 Java 代码的标准

本文提供一整套编写高效可靠的 Java 代码的标准、约定和指南。它们以安全可靠的软件工程原则为基础,使代码易于理解、维护和增强。

2018-02-11

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