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      "body": "![jupyterlogo](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515694885/zwqdtrrhhzslcqy8sjzt.jpg)\n#### What Will I Learn?\n- You will learn what is jupyter\n- You will learn why we use jupyter\n- You will learn basic usage of jupyter\n\n#### Requirements\n- have experience in python\n- have installed python and pip\n\n#### Difficulty\n- Intermediate\n\n#### Tutorial Contents\nJupyter Notebook used to be known as the IPython Notebook. It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. We can get to know it on the offical site http://jupyter.org/. The Notebook has support for over 40 programming languages, including Python, R, Julia, and Scala.However, it is most used in Python.  \n\n## Why\nPython is an object-oriented language, but it is widely used in statistics and machine learning now. As we all know, Matlab was most used in these areas in early years. How can python do it? If we write Python just like Java, we can't know the value of each step.  \nFortunately, Python is also a scripting language. There is no compilation process in python. We can dynamically create variables in a session. So How can we easily view each variable? It's what Jupyter Notebook does.\n\n## Install\nJupyter Notebook supports both python 2 and python 3.   \nFirst, the package of jupyter is already included in Anaconda.  \nIf we don't want to install Anaconda.We can install it with pip easily.  \nPython 2 installed:  \n```shell\npython -m pip install --upgrade pip\npython -m pip install jupyter\n```\nPython 3 installed:  \n```shell\npython3 -m pip install --upgrade pip\npython3 -m pip install jupyter\n```\n\n## Run Jupyter\nType in the command below, then Jupyter will run. We can see it on http://localhost:8888/tree.\n```shell\njupyter notebook\n```\n![01](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515694927/xztx0zdagepv4cy8jumb.png)\n## Create Python Files\nWe can create a notebook, a text file, a folder and even a terminal with the New button.  \n![02](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695004/ml09phmwbu8bqzfi5rf4.png)\n![03](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695360/beywyeu9cg7mnm6cbr8n.png)\nThen we will see our own notebook in the browser. We can name it SteemJupyter. The extension of the notebook is .ipynb.\n![04](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695026/yvyx5xhh9asklycu8e7a.png)\n## Run Python in the notebook\nThen we can use it just like python shell. In a notebook, a code block is called a cell. All the code in a cell will be run together.\n\nIn a cell, we can assign values and print the value of a variable.We can also define and run a function in it.\n![05](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695041/sdudgl97mqxbrs1r7hv6.png)\nJupyter is so powerful. I will introduce more interesting functions of it in the next post.\n\n---  \n\n\nJupyter Notebook曾经很长一段时间被称为Ipython Notebook。它是一个可以将代码执行、富文本、数学公式、画图和富媒体(视频等)结合在一起的交互式计算环境。我们可以在它的官网http://jupyter.org/ 进行详细了解。Jupyter Notebook已经能够支持40多种编程语言，包括Python、R、Julia和Scala等。但是应用的最广泛的还属Python。\n\n## 为什么\nPython是一门面向对象语言，但是它被广泛地应用在了统计和机器学习领域(现在又开始入侵我的优化算法领域了=_=)。众所周知，早年间Matlab才是这个领域的老大。Python是怎么做到的呢？如果我们像写Java一样写Python，我们不可能像Matlab一样知道每一步的值。  \n幸运的是，Python还是一门脚本语言，在Python中是没有编译这个过程的。所以我们可以在一个会话中动态地创建变量。所以我们怎么才能更好地查看自己创建的每一个变量呢？这时候Jupyter Notebook就应运而生了。  \n\n## 安装\nJupyter Notebook同时支持Python2和Python3。  \n首先，jupyter的包是被囊括在Anaconda环境中的，可以直接安装Anaconda环境。  \n如果不想安装Anaconda，则可以用过pip来简单安装。  \n\nPython 2 installed:  \n```shell\npython -m pip install --upgrade pip\npython -m pip install jupyter\n```\nPython 3 installed:  \n```shell\npython3 -m pip install --upgrade pip\npython3 -m pip install jupyter\n```\n\n## 运行Jupyter\n输入下面的命令，Jupyter就会运行，我们可以在http://localhost:8888/tree 中看到它。\n```shell\njupyter notebook\n```\n![01](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515694927/xztx0zdagepv4cy8jumb.png)\n## 创建Python文件\n在Jupyter Notebook中，我们通过这个New的按钮可以创建一个notebook，一个text文件，一个文件夹，甚至一个终端窗口。\n![02](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695004/ml09phmwbu8bqzfi5rf4.png)\n![03](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695360/beywyeu9cg7mnm6cbr8n.png)\n然后我们就进入了Notebook界面。我们把这个Notebook命名为SteemJupyter。Notebook文件的扩展名是.ipynb。\n![04](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695026/yvyx5xhh9asklycu8e7a.png)\n## 在Notebook中运行Python\n在这个界面我们就可以像写Python Shell一样了。在这里每个代码块被成为一个cell，一个cell中的代码每次都必须一起运行。  \n\n在一个cell中，我们可以进行赋值和输出变量操作，也可以定义和运行一个函数。  \n![05](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695041/sdudgl97mqxbrs1r7hv6.png)\nJupyter非常强大。在下篇文章中我会介绍它的其他有趣功能。\n\n\n<br /><hr/><em>Posted on <a href=\"https://utopian.io/utopian-io/@mucyoung/write-python-in-jupyter-notebook-revised-edition-or-jupyter-notebook-python\">Utopian.io -  Rewarding Open Source Contributors</a></em><hr/>",
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      "body": "![jupyterlogo](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515694885/zwqdtrrhhzslcqy8sjzt.jpg)\n#### What Will I Learn?\n- You will learn what is jupyter\n- You will learn why we use jupyter\n- You will learn basic usage of jupyter\n\n#### Requirements\n- have experience in python\n- have installed python and pip\n\n#### Difficulty\n- Intermediate\n\n#### Tutorial Contents\nJupyter Notebook used to be known as the IPython Notebook. It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. We can get to know it on the offical site http://jupyter.org/. The Notebook has support for over 40 programming languages, including Python, R, Julia, and Scala.However, it is most used in Python.  \n\n## Why\nPython is an object-oriented language, but it is widely used in statistics and machine learning now. As we all know, Matlab was most used in these areas in early years. How can python do it? If we write Python just like Java, we can't know the value of each step.  \nFortunately, Python is also a scripting language. There is no compilation process in python. We can dynamically create variables in a session. So How can we easily view each variable? It's what Jupyter Notebook does.\n\n## Install\nJupyter Notebook supports both python 2 and python 3.   \nFirst, the package of jupyter is already included in Anaconda.  \nIf we don't want to install Anaconda.We can install it with pip easily.  \nPython 2 installed:  \n```shell\npython -m pip install --upgrade pip\npython -m pip install jupyter\n```\nPython 3 installed:  \n```shell\npython3 -m pip install --upgrade pip\npython3 -m pip install jupyter\n```\n\n## Run Jupyter\nType in the command below, then Jupyter will run. We can see it on http://localhost:8888/tree.\n```shell\njupyter notebook\n```\n![01](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515694927/xztx0zdagepv4cy8jumb.png)\n## Create Python Files\nWe can create a notebook, a text file, a folder and even a terminal with the New button.  \n![02](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695004/ml09phmwbu8bqzfi5rf4.png)\n![03](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695360/beywyeu9cg7mnm6cbr8n.png)\nThen we will see our own notebook in the browser. We can name it SteemJupyter. The extension of the notebook is .ipynb.\n![04](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695026/yvyx5xhh9asklycu8e7a.png)\n## Run Python in the notebook\nThen we can use it just like python shell. In a notebook, a code block is called a cell. All the code in a cell will be run together.\n\nIn a cell, we can assign values and print the value of a variable.We can also define and run a function in it.\n![05](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695041/sdudgl97mqxbrs1r7hv6.png)\nJupyter is so powerful. I will introduce more interesting functions of it in the next post.\n\n---  \n\n\nJupyter Notebook曾经很长一段时间被称为Ipython Notebook。它是一个可以将代码执行、富文本、数学公式、画图和富媒体(视频等)结合在一起的交互式计算环境。我们可以在它的官网http://jupyter.org/ 进行详细了解。Jupyter Notebook已经能够支持40多种编程语言，包括Python、R、Julia和Scala等。但是应用的最广泛的还属Python。\n\n## 为什么\nPython是一门面向对象语言，但是它被广泛地应用在了统计和机器学习领域(现在又开始入侵我的优化算法领域了=_=)。众所周知，早年间Matlab才是这个领域的老大。Python是怎么做到的呢？如果我们像写Java一样写Python，我们不可能像Matlab一样知道每一步的值。  \n幸运的是，Python还是一门脚本语言，在Python中是没有编译这个过程的。所以我们可以在一个会话中动态地创建变量。所以我们怎么才能更好地查看自己创建的每一个变量呢？这时候Jupyter Notebook就应运而生了。  \n\n## 安装\nJupyter Notebook同时支持Python2和Python3。  \n首先，jupyter的包是被囊括在Anaconda环境中的，可以直接安装Anaconda环境。  \n如果不想安装Anaconda，则可以用过pip来简单安装。  \n\nPython 2 installed:  \n```shell\npython -m pip install --upgrade pip\npython -m pip install jupyter\n```\nPython 3 installed:  \n```shell\npython3 -m pip install --upgrade pip\npython3 -m pip install jupyter\n```\n\n## 运行Jupyter\n输入下面的命令，Jupyter就会运行，我们可以在http://localhost:8888/tree 中看到它。\n```shell\njupyter notebook\n```\n![01](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515694927/xztx0zdagepv4cy8jumb.png)\n## 创建Python文件\n在Jupyter Notebook中，我们通过这个New的按钮可以创建一个notebook，一个text文件，一个文件夹，甚至一个终端窗口。\n![02](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695004/ml09phmwbu8bqzfi5rf4.png)\n![03](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695360/beywyeu9cg7mnm6cbr8n.png)\n然后我们就进入了Notebook界面。我们把这个Notebook命名为SteemJupyter。Notebook文件的扩展名是.ipynb。\n![04](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695026/yvyx5xhh9asklycu8e7a.png)\n## 在Notebook中运行Python\n在这个界面我们就可以像写Python Shell一样了。在这里每个代码块被成为一个cell，一个cell中的代码每次都必须一起运行。  \n\n在一个cell中，我们可以进行赋值和输出变量操作，也可以定义和运行一个函数。  \n![05](https://res.cloudinary.com/hpiynhbhq/image/upload/v1515695041/sdudgl97mqxbrs1r7hv6.png)\nJupyter非常强大。在下篇文章中我会介绍它的其他有趣功能。\n\n\n<br /><hr/><em>Posted on <a href=\"https://utopian.io/utopian-io/@mucyoung/write-python-in-jupyter-notebook-revised-edition-or-jupyter-notebook-python\">Utopian.io -  Rewarding Open Source Contributors</a></em><hr/>",
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      "body": "科研本身是一个完整产业链，科研产出只是这个产业链的一个附属品，大学里的老师极少极少安贫乐道搞科研的，其实搞科研也不一定贫，富的多得是。剩下的一部分发展成了学阀，自己做了军阀，开了个paper生产工厂，用各种文字游戏发paper；另一部分成了纯乙方，说是乙方那也是只做咨询不做实施，因为已经没那个实力了，讲道理，就是在用学校的牌子骗骗小钱。",
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      "author": "mucyoung",
      "body": "Sorry, I don't know what \"copy paste this\" means.  Was my posting considered as plagiarism? or there are too much \"copy the code you can get the result\"?",
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      "body": "Your contribution cannot be approved because it does not follow the [Utopian Rules](https://utopian.io/rules).\n\nYour tutorial consists pretty much \"copy paste this\" that we do not like.\n\nYou can contact us on [Discord](https://discord.gg/uTyJkNm).\n**[[utopian-moderator]](https://utopian.io/moderators)**",
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      "body": "#### What Will I Learn?\n\n- You will learn what is docopt\n- You will learn how to use docopt\n- You will learn a common mistake when using docopt\n\n#### Requirements\n- have experience in python\n- have installed python and pip\n\n#### Difficulty\n- Intermediate\n\n#### Tutorial Contents\n##### What is docopt\nDocopt is a python package which helps you define the interface for your command-line app and automatically generate a parser for it.docopt is available in numerous programming languages, including Go,Julia,Rust and so on.\n\n#### Install Docopt\nWe can use pip to install this package.\n```shell\npip install docopt\n```\n\n##### A simple demo of docopt\nWe create a file named demo.py\n```python\n# !/usr/bin/env python\n# --*--coding:utf-8--*--\n\n\"\"\"DEMO CLI\n\nUsage:\ndemo.py command --option1 --option2 <op2>\ndemo.py -h|--help\ndemo.py -v|--version\n\nOptions:\n-h --help  Show this screen.\n-v --version  Show version.\n--option1  option1\n--option2  option2\n\"\"\"\n\nfrom docopt import docopt\n\ndef demo():\n    arguments = docopt(__doc__, version='DEMO 1.0')\n    print(arguments)\n\n\nif __name__ == '__main__':\n    demo()\n```\nThen we run three commands:\n- help:\n```python\npython demo.py -h\n```\n![help](https://s1.ax1x.com/2018/01/26/pLQuQA.png)\n\n- version:\n```python\npython demo.py -v\n```\n![version](https://s1.ax1x.com/2018/01/26/pLQMLt.png)\n\n- common usage:\n```python\npython demo.py command --option1 --option2 op2\n```\n![commonusage](https://s1.ax1x.com/2018/01/26/pLQ3o8.png)\n\n- undefined usage:\n```python\npython demo.py command2\n```\n![undefinedusage](https://s1.ax1x.com/2018/01/26/pLQleP.png)\n\nAs we can see from the results, docopt will only run correctly if you type in the command you have defined in your source code. Otherwise, it will return you the correct usage of the program.\n\n##### How docopt works\nAs we can see the result of common usage, arguments is a dictionary or a json.\n```python\n{'--help': False,\n '--option1': True,\n '--option2': True,\n '--version': False,\n '<op2>': 'op2',\n 'command': True}\n```\nThe value of options or commands like '--option1' or 'command' is a boolean value. The value of a variable is a string value.  \nThe dictionary is the result of the docopt parser. You can write your program based on this dictionary.\n\n##### A common mistake when using docopt\nWhen you encounter the error like \"docopt.DocoptLanguageError: unmatched '('\n\" or \"docopt.DocoptLanguageError: unmatched '['\n\",\n![error](https://s1.ax1x.com/2018/01/26/pLN2lT.png)\nyou must check your Options definition. The separator between option and explaination must be two spaces instead of one.  \nError example:\n```python\n-h --help Show this screen.\n```\nCorrect example:\n```python\n-h --help  Show this screen.\n```\n\n\n<br /><hr/><em>Posted on <a href=\"https://utopian.io/utopian-io/@mucyoung/create-a-python-cli-program-with-docopt\">Utopian.io -  Rewarding Open Source Contributors</a></em><hr/>",
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      "body": "Your contribution cannot be approved because it does not follow the [Utopian Rules](https://utopian.io/rules).\n* there are too many charts tutorials and they do not provide value to the community.\nYou can contact us on [Discord](https://discord.gg/uTyJkNm).\n**[[utopian-moderator]](https://utopian.io/moderators)**",
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      "body": "Summary:  \nChart.js provides simple yet flexible javascript charting for designers & developers. It has become one of the most popular open source charting libraries and i will show you how to create a bar chart with chartjs today.I choose the total and per capita GDP in the top 10 economies of the world in 2017 as the original data. I use the newest version of Chart.js which is different from the older ones.\n\n![Free-Converter.com-chartjs-logo-59034717.png](https://res.cloudinary.com/hpiynhbhq/image/upload/v1516956474/icbknychqk4hmdgekjdf.png)\n\nChart.js为设计师和开发者提供简单而灵活的javascript图表设计，它已经成为了最受欢迎的开源图表库之一，今天教程将教大家如何使用Chart.js去绘制一张柱状图。我选取的原始数据是2017年世界前10大经济体的GDP总量和人均GDP数据。采用的Chart.js版本是和以前的版本不太一样的最新的2.7.1版本。\n\n兼容浏览器：一切支持canvas的浏览器，IE9,Chrome,Firefox等等\nChart.js版本: 2.7.1(最新版本)\n\n\n#### 您能从本教程学到什么?\n\n- 代码整体结构\n- 怎样调用Chart.js\n- chartjs的容器\n- 怎样创建chart对象\n- 柱状图的数据结构\n- 柱状图的参数选项\n- 生成并渲染对象\n\n#### 准备条件\n- 一个代码编辑器，如WebStorm和atom\n- 一个可供调试的浏览器：IE, Chrome或是Firefox\n\n#### 难度\n- 中等\n\n#### 教程内容\n由于HighChart.js的崛起，开源的数据图形库普遍重构了代码，Chart.js在2.0之后就和1.0完全不一样，我们就看看最新版本的Chart.js怎样创建线形图。\n\n##### 代码整体结构\n```html\n<script src=\"path/to/Chartjs\"></script>\n<canvas id=\"myChart\" width=\"600\" height=\"400\"></canvas>\n<script>\nvar data = {}\nLine.defaults = {}\nvar ctx = document.getElementById(\"myChart\").getContext(\"2d\");\nvar chart = new Chart(ctx, {\n\ttype:{},\n\tdata:{},\n\toptions:{}\n});\n</script>\n```\n\n##### 原始数据\n本教程的原始数据选择2017年世界前10大经济体的GDP总量和人均GDP数据。  \n\n| 国家| GDP总量(亿美元)| 人均GDP(美元)|\n| --------   | -----:   | ----: |\n| 美国| 186979.22| 57765.512|\n| 中国| 122539.75| 8865.999|\n| 日本| 41706.43| 33010.024|\n| 德国| 34725.07| 42388.679|\n| 英国| 30548.4| 46719.862|\n| 法国| 24788.48| 38575.438|\n| 印度| 23847.26| 1820.8|\n| 意大利| 18675.72| 30540.566|\n| 巴西| 16728.68| 8117.645|\n| 加拿大| 15928.48| 44095.85|\n\n##### 要点1:怎样调用Chart.js\n本地路径调用\n```html\n<script src=\"path/to/Chartjs\"></script>\n```\nCDN调用\n```html\n<script src=\"https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.7.1/Chart.js\"></script>\n```\n可以使用以上两种方式引入Chart.js\n\n##### 要点2:chartjs的容器\nChartjs不同于HighCharts.js，HighCharts.js基于的是SVG，而Chart.js基于的是canvas，所以chartjs的容器仅需一个canvas元素即可。\n```html\n<canvas id=\"myChart\" width=\"600\" height=\"400\"></canvas>\n```\n\n##### 要点3:怎样创建chart对象\n获取canvas元素有两种方式，一种方式是使用javascript原生的getElementById的方式\n```javascript\nvar ctx = document.getElementById(\"myChart\").getContext(\"2d\");\n```\n另一种方式是用jQuery获取canvas的context。首先从jQuery集合中获取我们需要的DOM节点，然后在这个DOM节点上调用 getContext(\"2d\") 方法。\n```html\n<script src=\"https://code.jquery.com/jquery.min.js\"></script>\n```\n```javascript\nvar ctx = $(\"#myChart\").get(0).getContext(\"2d\");\n```\n获取canvas元素后，需要在指定canvas元素上实例化Chart对象。\n```javascript\nvar chart = new Chart(ctx, {\n    type: 'bar',\n\t\tdata: data,\n\t\toptions: options\n\t});\n```\n\n##### 要点4:曲线图的数据结构\n```javascript\nvar data = {\n\tlabels : [\"美国\",\"中国\",\"日本\",\"德国\",\"英国\",\"法国\",\"印度\",\"意大利\",\"加拿大\"],\n\tdatasets : [\n\t\t{\n\t\t\tlabel: \"人均GDP\",\n\t\t\tbackgroundColor : \"rgba(151,187,205,0.5)\",\n\t\t\tborderColor : \"rgba(151,187,205,1)\",\n\t\t\tdata : [57765.512,8865.999,33010.024,42388.679,46719.862,38575.438,1820.8,30540.566,8117.645,44095.85]\n\t\t},\n\t\t{\n\t\t\tlabel: \"GDP总量\",\n\t\t\tbackgroundColor : \"rgba(220,220,220,0.5)\",\n\t\t\tborderColor : \"rgba(220,220,220,1)\",\n\t\t\tdata : [186979.22,122539.75,41706.43,34725.07,30548.4,24788.48,23847.26,18675.72,16728.68,15928.48]\n\t\t}\n\t]\n};\n```\n其中labels代表的即是横坐标的标签，本数据中就是国家的名称。而datasets则是具体的数据的值，其中每个dataset就是一个系列的bar。  \n在某个dataset的具体定义中，backgroundColor指的是填充区域的颜色，borderColor指的是柱状图边线的颜色。\ndataset还有许多参数选项，这里不一一列出。\n##### 要点5:曲线图的参数选项\n```javascript\nvar options = {\n\t\t\tresponsive: false,\n\t\t\ttitle: {\n\t\t\tdisplay: true,\n\t\t\ttext: '世界前10大经济体GDP总量及人均GDP数据'\n\t\t}\n\t};\n```\nresponsive就是是否响应式设计，如为true，则canvas的width和height自动不生效，随浏览器变化。  \ntitle就是图表的标题的意思，其中display就表示标题是否展现，text就是标题的内容。\noptions还有许多参数选项，这里不一一列出。\n##### 最终:生成并渲染对象\n![Peek 2018-01-25 15-59.gif](https://res.cloudinary.com/hpiynhbhq/image/upload/v1516956320/omtyrdj6mbfmj9euedke.gif)\n\n#### 相关教程\n- [用Chart.js 2.7 创建线形图|Create Line Chart with Chart.js 2.7](https://utopian.io/utopian-io/@mucyoung/chart-js-2-7-or-create-line-chart-with-chart-js-2-7)\n\n<br /><hr/><em>Posted on <a href=\"https://utopian.io/utopian-io/@mucyoung/chart-js-2-7-or-create-bar-chart-with-chart-js-2-7\">Utopian.io -  Rewarding Open Source Contributors</a></em><hr/>",
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      "body": "@@ -381,16 +381,17 @@\n exceltk%5D\n+(\n https://\n",
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      "body": "@@ -323,16 +323,177 @@\n ting..%0A%0A\n+Also, there are already more advanced tools like %5Bexceltk%5Dhttps://github.com/fanfeilong/exceltk) or %5Bpytablewriter%5D(https://github.com/thombashi/pytablewriter)%0A%0A\n You can \n",
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      "body": "Your contribution cannot be approved because it does not follow the [Utopian Rules](https://utopian.io/rules).\n\n`Simple and common code snippets that can be easily found or reproduced can't be submitted in the development category.`\n\nYou may consider to re-submit if you have added more features:\n1. GUI\n2. Consider formatting..\n\nYou can contact us on [Discord](https://discord.gg/uTyJkNm).\n**[[utopian-moderator]](https://utopian.io/moderators)**",
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      "body": "### It‘s a new project\n#### What is the project about?\nWhen posting articles, I offen need a complex table which contain a lot of information. I have to type it in the markdown file. It's troublesome and cost me too much time.  \nSo I create a python cli tool to simplify the process.\n\n#### Install\n```shell\npip install pipenv\ngit clone https://github.com/littlemucyoung/xls2md.git\ncd xls2md\npipenv install\n```\n\n#### Usage\n```shell\npipenv shell\n$ python xls2md.py --head --from example/excel/data.xls --sindex 0 --to example/markdown/data.md\n```\ncommon usage:  \n```shell\nxls2md.py [--head] --from <from_path> [--sindex <sheet_index>|--sname <sheet_name>] --to <to_path>\n```\n\n#### Demo\nexcel file: example/excel/data.xls\n![excel file](https://s1.ax1x.com/2018/01/26/pqbFEQ.png)\n\nrun\n```shell\npython xls2md.py --head --from example/excel/data.xls --sindex 0 --to example/markdown/data.md\n```\ndata.md:  \n\n|国家|GDP总量(亿美元)|人均GDP(美元)|\n| --- | --- | --- |\n|美国|186979.22|57765.512|\n|中国|122539.75|8865.999|\n|日本|41706.43|33010.024|\n|德国|34725.07|42388.679|\n|英国|30548.4|46719.862|\n|法国|24788.48|38575.438|\n|印度|23847.26|1820.8|\n|意大利|18675.72|30540.566|\n|巴西|16728.68|8117.645|\n|加拿大|15928.48|44095.85|\n\n#### Technology Stack\nLanguage: Python  \nRequirements: xlrd, xlwt, docopt  \nDevelopment Environment: Pipenv  \n\n#### Roadmap\n- v0.1: a demo which only satisfies the basic needs\n- v0.2: support more options\n- v0.3-0.6: support csv,json,xml,html\n- v1.0: build excutable file or be wrapped as a pypi package\n\n#### Contributing\nGithub: https://github.com/littlemucyoung/xls2md\n\nFork it!\nCreate your feature branch: git checkout -b my-new-feature\nCommit your changes: git commit -am 'Add some feature'\nPush to the branch: git push origin my-new-feature\nSubmit a pull request\n\n\n<br /><hr/><em>Posted on <a href=\"https://utopian.io/utopian-io/@mucyoung/xls2md-v0-1-demo-a-python-cli-tool-converting-excel-file-to-markdown-file\">Utopian.io -  Rewarding Open Source Contributors</a></em><hr/>",
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