PythonDataScience/notebooks/01.00-IPython-Beyond-Normal-Python.ipynb

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    "### 南京大学计算传播学系列课程\n",
    "***\n",
    "***\n",
    "# 《计算传播学的编程基础》\n",
    "***\n",
    "***\n",
    "\n",
    "王成军 \n",
    "\n",
    "wangchengjun@nju.edu.cn\n",
    "\n",
    "计算传播网 http://computational-communication.com"
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    "<img align=\"right\" style=\"padding-right:10px;\" src=\"figures/logo.png\">\n",
    "\n",
    "<!--NAVIGATION-->\n",
    "< [Preface](00.00-Preface.ipynb) | [Contents](Index.ipynb) | [Help and Documentation in IPython](01.01-Help-And-Documentation.ipynb) >"
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    "<!--BOOK_INFORMATION-->\n",
    "<img align=\"right\" width=\"300px\" style=\"padding-right:10px;\" src=\"figures/PDSH-cover.png\">\n",
    "*[Python Data Science Handbook](http://shop.oreilly.com/product/0636920034919.do) by Jake VanderPlas; the content is available [on GitHub](https://github.com/jakevdp/PythonDataScienceHandbook).*\n",
    "\n",
    "*The text is released under the [CC-BY-NC-ND license](https://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode), and code is released under the [MIT license](https://opensource.org/licenses/MIT). *\n",
    "\n",
    "If you find this content useful, please consider supporting the work by [buying the book](http://shop.oreilly.com/product/0636920034919.do)!\n"
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    "# IPython: Beyond Normal Python"
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    "Development environments for Python: [IPython](http://ipython.org/) plus a text editor (Emacs or Atom).\n",
    "\n",
    "> IPython (short for *Interactive Python*) was started in 2001 by *Fernando Perez* as an enhanced Python interpreter, and has since grown into a project aiming to provide, in Perez's words, \"Tools for the entire life cycle of research computing.\"\n",
    "\n",
    "If Python is the engine of our data science task, you might think of IPython as the interactive control panel."
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    "# Jupyter\n",
    "\n",
    "- IPython is closely tied with the [Jupyter project](http://jupyter.org), which provides a browser-based notebook that is useful for development, collaboration, sharing, and even publication of data science results.\n",
    "- Jupyter notebook encompasses notebooks for *Julia, Python, and R*.\n",
    "\n",
    "IPython is about using Python effectively for interactive scientific and data-intensive computing."
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    "### Jupyter Notebook\n",
    "\n",
    "- The Jupyter notebook is a browser-based graphical interface to the IPython shell, and builds on it a rich set of dynamic display capabilities.\n",
    "- As well as executing Python/IPython statements, the notebook allows the user to include formatted text, static and dynamic visualizations, mathematical equations, JavaScript widgets, and much more.\n",
    "- Furthermore, these documents can be saved in a way that lets other people open them and execute the code on their own systems."
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    "- First, to introduce IPython features that are useful to the practice of data science, focusing especially on the syntax it offers beyond the standard features of Python.\n",
    "- Next, **\"magic commands\"** that can speed-up common tasks in creating and using data science code.\n",
    "- Finally,the features of the notebook that make it useful in understanding data and sharing results."
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    "### Launching the IPython Shell\n",
    "\n",
    "# *muscle-memory*\n",
    "\n",
    "Start by launching the IPython interpreter by typing **``ipython``** on the command-line; \n",
    "\n",
    "> # ipython\n",
    "\n",
    "Once you do this, you should see a prompt like the following:\n",
    "```\n",
    "IPython 4.0.1 -- An enhanced Interactive Python.\n",
    "?         -> Introduction and overview of IPython's features.\n",
    "%quickref -> Quick reference.\n",
    "help      -> Python's own help system.\n",
    "object?   -> Details about 'object', use 'object??' for extra details.\n",
    "In [1]:\n",
    "```"
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    "### Launching the Jupyter Notebook\n",
    "\n",
    "Though the Jupyter notebook is viewed and edited through your web browser window, it must connect to a running Python process in order to execute code. This process (known as a \"kernel\") can be started by running the following command in your system shell:\n",
    "\n",
    "```\n",
    "$ jupyter notebook\n",
    "```"
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    "### Launching the Jupyter Notebook\n",
    "\n",
    "This command will launch a local web server that will be visible to your browser.\n",
    "It immediately spits out a log showing what it is doing; that log will look something like this:\n",
    "\n",
    "```\n",
    "$ jupyter notebook\n",
    "[NotebookApp] Serving notebooks from local directory: /Users/jakevdp/PythonDataScienceHandbook\n",
    "[NotebookApp] 0 active kernels \n",
    "[NotebookApp] The IPython Notebook is running at: http://localhost:8888/\n",
    "[NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).\n",
    "```\n",
    "\n",
    "Upon issuing the command, your default browser should automatically open and navigate to the listed local URL;\n",
    "the exact address will depend on your system.\n",
    "If the browser does not open automatically, you can open a window and manually open this address (*http://localhost:8888/* in this example)."
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    "<!--NAVIGATION-->\n",
    "< [Preface](00.00-Preface.ipynb) | [Contents](Index.ipynb) | [Help and Documentation in IPython](01.01-Help-And-Documentation.ipynb) >"
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