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-Translating-----geekpi
-
-Creating your First App on Linux with Python and Flask
-================================================================================
-
-
-Whether playing on Linux or working on Linux there is high chance you have come across a program written in python. Back in college I wish they thought us Python instead of Java like they do today, it’s fun to learn and useful in building practical applications like the yum package manager.
-
-In this tutorial I will take you through how I built a simple application which displays useful information like [memory usage per process][1], CPU percentage etc using python and a micro framework called flask.
-
-### Prerequisites ###
-
-Python Basics, Lists, Classes, Functions, Modules.
-HTML/CSS (basic)
-
-You don’t need to be an advanced python programmer to follow this tutorial, But before you go further I recommend you read https://wiki.python.org/moin/BeginnersGuide/NonProgrammers
-
-### Installing Python 3 on Linux ###
-
-On most Linux distributions python is installed by default. This is how you can find out the python version on your system.
-
- [root@linux-vps ~]# python -V
- Python 2.7.5
-
-We will be using python version 3.x to build our app. As per [Python.org][2] all improvements are now only available in this version which is not backward compatible with python 2.
-
-**Caution**: Before your proceed I strongly recommend you try this tutorial out on a Virtual machine, since python is a core component of many Linux Distributions any accidents may cause permanent damage to your system.
-
-This step is for RedHat based variants like CentOS (6&7), Debian based variants like Ubuntu,Mint and Rasbian can skip this step as you should have python version 3 installed by default. If not use apt-get instead of yum to install the relevant packages below.
-
- [leo@linux-vps] yum groupinstall 'Development Tools'
- [leo@linux-vps] yum install -y zlib-dev openssl-devel sqlite-devel bzip2-devel
- [leo@linux-vps] wget https://www.python.org/ftp/python/3.4.2/Python-3.4.2.tgz
- [leo@linux-vps] tar -xvzf Python-3.4.2.tgz
- [leo@linux-vps] cd Python-3.4.2
- [leo@linux-vps] ./configure
- [leo@linux-vps] make
- # make altinstall is recommended as make install can overwrite the current python binary,
- [leo@linux-vps] make altinstall
-
-After a successful, installation you should be able to access the python 3.4 shell with the command below.
-
- [leo@linux-vps]# python3.4
- Python 3.4.2 (default, Dec 12 2014, 08:01:15)
- [GCC 4.8.2 20140120 (Red Hat 4.8.2-16)] on linux
- Type "help", "copyright", "credits" or "license" for more information.
- >>> exit ()
-
-### Installing packages in python with PIP ###
-
-Python comes with it’s own package manager, similar to yum and apt-get. You will need to use it to download, install and uninstall packages.
-
- [leo@linux-vps] pip3.4 install "packagename"
-
- [leo@linux-vps] pip3.4 list
-
- [leo@linux-vps] pip3.4 uninstall "packagename"
-
-### Python Virtual Environment ###
-
-In Python a virtual environment is a directory where your projects dependencies are installed. This is a good way to segregate projects with different dependencies. It also allows you to install packages without the need for sudo access.
-
- [leo@linux-vps] mkdir python3.4-flask
- [leo@linux-vps] cd python3.4-flask
- [leo@linux-vps python3.4-flask] pyvenv-3.4 venv
-
-To create the virtual environment you will need to use the “pyvenv-3.4” command. This will create a directory called “lib” inside the venv folder where the dependencies for this project will be installed. It will also create a bin folder which will contain pip and python executables for this virtual environment.
-
-### Activating the Virtual Environment for our Linux system information project ###
-
- [leo@linux-vps python3.4-flask] source venv/bin/activate
- [leo@linux-vps python3.4-flask] which pip3.4
- ~/python3.4-flask/venv/bin/pip3.4
- [leo@linux-vps python3.4-flask] which python3.4
- ~/python3.4-flask/venv/bin/python3.4
-
-### Installing flask with PIP ###
-
-Lets go ahead and install out first module the flask framework which will take care of the routing and template rendering of our app.
-
- [leo@linux-vps python3.4-flask]pip3.4 install flask
-
-### Creating your first app in flask. ###
-
-Step 1:Create directories where your app will reside.
-
- [leo@linux-vps python3.4-flask] mkdir app
- [leo@linux-vps python3.4-flask]mkdir app/static
- [leo@linux-vps python3.4-flask]mkdir app/templates
-
-Inside the python3.4-flask folder create a folder called app which will contain two sub-folders “static” and “templates”. Our python script will reside inside the app folder, files like css/js inside the static folder and templates folder will contain our html templates.
-
-Step 2:Create an initialization file inside the app folder.
-
- [leo@linux-vps python3.4-flask] vim app/_init_.py
- from flask import Flask
-
- app = Flask(__name__)
- from app import index
-
-This file will create a new instance of Flask and load our python program stored in a file called index.py which we will create next.
-
- [leo@linux-vps python3.4-flask]vim app/index.py
- from app import app
-
- @app.route('/')
- def index():
- import subprocess
- cmd = subprocess.Popen(['ps_mem'],stdout=subprocess.PIPE,stderr=subprocess.PIPE)
- out,error = cmd.communicate()
- memory = out.splitlines()
-
- return
-
-Routing in flask is handled by the route decorator. It is used to bind a URL to a function.
-
- @app.route('/')
- @app.route('/index')
-
-In order to run a shell command in python you can use the Popen class from Subprocess module.
-
- subprocess.Popen(['ps_mem'],stdout=subprocess.PIPE,stderr=subprocess.PIPE)
-
-This class will take a list as an argument, the first item of the list will default to being executable while the next item will be considered the option. Here is another example
-
- subprocess.Popen(['ls', ‘-l’],stdout=subprocess.PIPE,stderr=subprocess.PIPE)
-
-stdout and stderr will store the output and error of this command respectively. You can then access this output via the communicate method of the Popen class.
-
- out,error = cmd.communicate()
-
-To display the output in a better way via the html template, I have used the splitlines () method,
-
- memory = out.splitlines()
-
-More information on python subprocess module is available in the docs at the end of this tutorial.
-
-Step 3: Create an html template where we can display the output of our command.
-
-In order to do this we need to use the Jinja2 template engine in flask which will do the template rendering for us.
-
-Your final index.py file should look as follows
-
- from flask import render_template
- from app import app
-
- def index():
- import subprocess
- cmd = subprocess.Popen(['ps_mem'],stdout=subprocess.PIPE,stderr=subprocess.PIPE)
- out,error = cmd.communicate()
- memory = out.splitlines()
-
- return render_template('index.html', memory=memory)
-
-Now create an index.html template inside the templates folder, flask will search for templates in this folder.
-
- [leo@linux-vps python3.4-flask]vim app/templates/index.html
-
-
- Memory usage per process
-
- {% for line in memory %}
- {{ line.decode('utf-8') }}
-
- {% endfor %}
-
-The Jinja2 template engine allows you to use the “{{ … }}” delimiter to print results and {% … %} for loops and value assignment. I used the “decode()” method for formatting purposes.
-
-Step 4: Running the app.
-
- [leo@linux-vps python3.4-flask]vim run.py
- from app import app
- app.debug = True
- app.run(host='174.140.165.231', port=80)
-
-The above code will run the app in debug mode. If you leave out the IP address and port it will default to localhost:5000.
-
- [leo@linux-vps python3.4-flask] chmod +x run.py
- [leo@linux-vps python3.4-flask] python3.4 run.py
-
-
-
-I have added more code to the app so that it gives you cpu, I/O and load avg as well.
-
-
-
-You can access the code to this app [here][3].
-
-This is a brief introduction to flask and I recommend you reading the tutorials and docs below for indepth information.
-
-http://flask.pocoo.org/docs/0.10/quickstart/#
-
-https://docs.python.org/3.4/library/subprocess.html#popen-constructor
-
-http://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world
-
---------------------------------------------------------------------------------
-
-via: http://techarena51.com/index.php/how-to-install-python-3-and-flask-on-linux/
-
-作者：[Leo G][a]
-译者：[译者ID](https://github.com/译者ID)
-校对：[校对者ID](https://github.com/校对者ID)
-
-本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创翻译，[Linux中国](http://linux.cn/) 荣誉推出
-
-[a]:http://techarena51.com/
-[1]:http://techarena51.com/index.php/linux-memory-usage/
-[2]:https://wiki.python.org/moin/Python2orPython3
-[3]:https://github.com/Leo-g/python-flask-cmd
diff --git a/translated/tech/20141219 Creating your First App on Linux with Python and Flask.md b/translated/tech/20141219 Creating your First App on Linux with Python and Flask.md
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+在Linux上使用Python和Flask创建你的第一个应用
+================================================================================
+
+
+无论你在linux上娱乐还是工作，这对你而言都是一个很好的机会使用python来编程。回到大学我希望他们教我的是Python而不是Java，这学起来很有趣且在实际的应用如yum包管理器中很有用。
+
+本篇教程中我会带你使用python和一个称为flask的微型框架来构建一个简单的应用来显示诸如[每个进程的内存使用][1]，CPU百分比之类有用的信息。
+
+### 前提 ###
+
+Python基础、列表、类、函数、模块。
+HTML/CSS (基础)
+
+学习这篇教程你不必是一个python高级开发者，但是首先我建议你阅读https://wiki.python.org/moin/BeginnersGuide/NonProgrammers。
+
+### I在Linux上安装Python 3 ###
+
+在大多数Linux发行版上Python是默认安装的。下面的你命令可以让你看到安装的版本。
+
+ [root@linux-vps ~]# python -V
+ Python 2.7.5
+
+我们会使用3.x的版本来构建我们的app。根据[Python.org][2]所说，这版本上面所有的改进都不向后兼容Python 2。
+
+**注意**: 在开始之前，我强烈建议你在虚拟机中尝试这个教程，因为Python许多Linux发行版的核心组建，任何意外都可能会损坏你的系统。
+
+这步是基于红帽的版本如CentOS（6和7），基于Debian的版本如UbuntuMint和Resbian可以跳过这步，Pythonn 3应该默认已经安装了。如果没有安装，请用apt-get而不是yum来安装下面相应的包。
+
+ [leo@linux-vps] yum groupinstall 'Development Tools'
+ [leo@linux-vps] yum install -y zlib-dev openssl-devel sqlite-devel bzip2-devel
+ [leo@linux-vps] wget https://www.python.org/ftp/python/3.4.2/Python-3.4.2.tgz
+ [leo@linux-vps] tar -xvzf Python-3.4.2.tgz
+ [leo@linux-vps] cd Python-3.4.2
+ [leo@linux-vps] ./configure
+ [leo@linux-vps] make
+ # make altinstall is recommended as make install can overwrite the current python binary,
+ [leo@linux-vps] make altinstall
+
+成功安装后，你应该可以用下面的命令进入Python3.4的shell了。
+
+ [leo@linux-vps]# python3.4
+ Python 3.4.2 (default, Dec 12 2014, 08:01:15)
+ [GCC 4.8.2 20140120 (Red Hat 4.8.2-16)] on linux
+ Type "help", "copyright", "credits" or "license" for more information.
+ >>> exit ()
+
+### 使用pip来安装包 ###
+
+Python有它自己的包管理去，与yum和apt-get相似。你将需要它来下载、安装和卸载包。
+
+ [leo@linux-vps] pip3.4 install "packagename"
+
+ [leo@linux-vps] pip3.4 list
+
+ [leo@linux-vps] pip3.4 uninstall "packagename"
+
+### Python虚拟环境 ###
+
+在Python中虚拟环境是一个你项目依赖的目录。隔离项目的一个好主意是使用不同的依赖。这可以让你不用sudo命令就能安装包。
+
+ [leo@linux-vps] mkdir python3.4-flask
+ [leo@linux-vps] cd python3.4-flask
+ [leo@linux-vps python3.4-flask] pyvenv-3.4 venv
+
+要创建虚拟环境你需要使用“pyvenv-3.4”命令。这会在venv文件夹的内部创建一个名为lib的目录，这里会安装项目所依赖的包。这里同样会创建一个bin文件夹容纳该环境下的pip和python可执行文件。
+
+### 为我们的Linux系统信息项目激活虚拟环境 ###
+
+ [leo@linux-vps python3.4-flask] source venv/bin/activate
+ [leo@linux-vps python3.4-flask] which pip3.4
+ ~/python3.4-flask/venv/bin/pip3.4
+ [leo@linux-vps python3.4-flask] which python3.4
+ ~/python3.4-flask/venv/bin/python3.4
+
+### 使用pip安装flask ###
+
+让我们继续安装第一个模块flask框架，它可以处理路由和渲染我们app的模板。
+
+ [leo@linux-vps python3.4-flask]pip3.4 install flask
+
+### 在flask中创建第一个应用 ###
+
+第一步：创建你app的目录
+
+ [leo@linux-vps python3.4-flask] mkdir app
+ [leo@linux-vps python3.4-flask]mkdir app/static
+ [leo@linux-vps python3.4-flask]mkdir app/templates
+
+在python3.4-flask文件家中创建一个一个名为app的文件夹，它包含了两个子文件夹“static”和“templates”。我们的Python脚本会在app文件夹，像css/js这类文件会在static文件夹，template文件夹会包含我们的html模板。
+
+第二步：在app文件夹内部创建一个初始化文件。
+
+ [leo@linux-vps python3.4-flask] vim app/_init_.py
+ from flask import Flask
+
+ app = Flask(__name__)
+ from app import index
+
+这个文件创建一个Flask的新的实例并加载我们存储在index.py文件中的python程序，这个文件我们之后会创建。
+
+ [leo@linux-vps python3.4-flask]vim app/index.py
+ from app import app
+
+ @app.route('/')
+ def index():
+ import subprocess
+ cmd = subprocess.Popen(['ps_mem'],stdout=subprocess.PIPE,stderr=subprocess.PIPE)
+ out,error = cmd.communicate()
+ memory = out.splitlines()
+
+ return
+
+flask中的路由由路由装饰器处理。这用于给函数绑定URL。
+
+ @app.route('/')
+ @app.route('/index')
+
+要在python中运行shell命令，你可以使用Subprocess模块中的Popen类。
+
+ subprocess.Popen(['ps_mem'],stdout=subprocess.PIPE,stderr=subprocess.PIPE)
+
+这个类会使用一个列表作为参数，列表的第一项默认是可执行的程序，下一项会是参数，这里是个另外一个例子。
+
+ subprocess.Popen(['ls', ‘-l’],stdout=subprocess.PIPE,stderr=subprocess.PIPE)
+
+stdout和stderr会相应地存储命令的输出和错误。你可以使用Popen的communicate方法来访问输出了。
+
+ out,error = cmd.communicate()
+
+要更好地用html模板显示输出，我会使用splitlines()方法，
+
+ memory = out.splitlines()
+
+关于subprocess模块更多的信息会在教程的最后给出。
+
+第三步：创建一个html模板来显示我们命令的输出。
+
+要做到这个我们使用flask中的Jinja2模板引擎来为我们渲染。
+
+最后你的index.py文件应该看起来像这样：
+
+ from flask import render_template
+ from app import app
+
+ def index():
+ import subprocess
+ cmd = subprocess.Popen(['ps_mem'],stdout=subprocess.PIPE,stderr=subprocess.PIPE)
+ out,error = cmd.communicate()
+ memory = out.splitlines()
+
+ return render_template('index.html', memory=memory)
+
+现在在你的模板目录下创建一个index.html模板，flask会自动搜索这个目录下的模板。
+
+ [leo@linux-vps python3.4-flask]vim app/templates/index.html
+
+
+ Memory usage per process
+
+ {% for line in memory %}
+ {{ line.decode('utf-8') }}
+
+ {% endfor %}
+
+Jinja2模板引擎允许你使用“{{ … }}”分隔符来打印结果，{% … %}来做循环和赋值。我使用“decode()”方法来格式化。
+
+第四步：运行app
+
+ [leo@linux-vps python3.4-flask]vim run.py
+ from app import app
+ app.debug = True
+ app.run(host='174.140.165.231', port=80)
+
+上面的代码会在debug模式下运行app。如果你不写IP地址和端口，默认则是localhost:5000。
+
+ [leo@linux-vps python3.4-flask] chmod +x run.py
+ [leo@linux-vps python3.4-flask] python3.4 run.py
+
+
+
+我已经加了更多的带来来显示CPU、I/O和平均负载。
+
+
+
+你可以在[这里][3]浏览代码。
+
+这是一个对flask的简短教程，我建议你阅读下面的教程和文档来更深入地了解。
+
+http://flask.pocoo.org/docs/0.10/quickstart/#
+
+https://docs.python.org/3.4/library/subprocess.html#popen-constructor
+
+http://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world
+
+--------------------------------------------------------------------------------
+
+via: http://techarena51.com/index.php/how-to-install-python-3-and-flask-on-linux/
+
+作者：[Leo G][a]
+译者：[geekpi](https://github.com/gekpi)
+校对：[校对者ID](https://github.com/校对者ID)
+
+本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创翻译，[Linux中国](http://linux.cn/) 荣誉推出
+
+[a]:http://techarena51.com/
+[1]:http://techarena51.com/index.php/linux-memory-usage/
+[2]:https://wiki.python.org/moin/Python2orPython3
+[3]:https://github.com/Leo-g/python-flask-cmd