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    "# Python Data Science Handbook\n",
    "\n",
    "*Jake VanderPlas*\n",
    "\n",
    "![Book Cover](figures/PDSH-cover.png)"
   ]
  },
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   "source": [
    "This is the Jupyter notebook version of the [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",
    "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). If you find this content useful, please support the work by [buying the book](http://shop.oreilly.com/product/0636920034919.do)!"
   ]
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   "metadata": {},
   "source": [
    "## Table of Contents\n",
    "\n",
    "### [Preface](00.00-Preface.ipynb)\n",
    "\n",
    "### [IPython: Beyond Normal Python](01.00-IPython-Beyond-Normal-Python.ipynb)\n",
    "- [Help And Documentation](01.01-Help-And-Documentation.ipynb)\n",
    "- [Shell Keyboard Shortcuts](01.02-Shell-Keyboard-Shortcuts.ipynb)\n",
    "- [Magic Commands](01.03-Magic-Commands.ipynb)\n",
    "- [Input Output History](01.04-Input-Output-History.ipynb)\n",
    "- [IPython And Shell Commands](01.05-IPython-And-Shell-Commands.ipynb)\n",
    "- [Errors and Debugging](01.06-Errors-and-Debugging.ipynb)\n",
    "- [Timing and Profiling](01.07-Timing-and-Profiling.ipynb)\n",
    "- [More IPython Resources](01.08-More-IPython-Resources.ipynb)\n",
    "\n",
    "### Introduction to NumPy *(coming soon)*\n",
    "\n",
    "### Data Manipulation with Pandas *(coming soon)*\n",
    "\n",
    "### Visualization with Matplotlib *(coming soon)*\n",
    "\n",
    "### Machine Learning *(coming soon)*"
   ]
  }
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