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update contents to include Chapter 2
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README.md

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### [Contents](notebooks/Index.ipynb)
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#### [Preface](notebooks/00.00-Preface.ipynb)
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### [Preface](notebooks/00.00-Preface.ipynb)
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#### [1. IPython: Beyond Normal Python](notebooks/01.00-IPython-Beyond-Normal-Python.ipynb)
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### [IPython: Beyond Normal Python](notebooks/01.00-IPython-Beyond-Normal-Python.ipynb)
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- [Help and Documentation in IPython](notebooks/01.01-Help-And-Documentation.ipynb)
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- [Keyboard Shortcuts in the IPython Shell](notebooks/01.02-Shell-Keyboard-Shortcuts.ipynb)
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- [IPython Magic Commands](notebooks/01.03-Magic-Commands.ipynb)
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- [Profiling and Timing Code](notebooks/01.07-Timing-and-Profiling.ipynb)
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- [More IPython Resources](notebooks/01.08-More-IPython-Resources.ipynb)
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#### 2. Introduction to NumPy *(coming soon)*
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### [Introduction to NumPy](notebooks/02.00-Introduction-to-NumPy.ipynb)
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- [Understanding Data Types in Python](notebooks/02.01-Understanding-Data-Types.ipynb)
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- [The Basics of NumPy Arrays](notebooks/02.02-The-Basics-Of-NumPy-Arrays.ipynb)
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- [Computation on NumPy Arrays: Universal Functions](notebooks/02.03-Computation-on-arrays-ufuncs.ipynb)
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- [Aggregations: Min, Max, and Everything In Between](notebooks/02.04-Computation-on-arrays-aggregates.ipynb)
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- [Computation on Arrays: Broadcasting](notebooks/02.05-Computation-on-arrays-broadcasting.ipynb)
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- [Comparisons, Masks, and Boolean Logic](notebooks/02.06-Boolean-Arrays-and-Masks.ipynb)
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- [Fancy Indexing](notebooks/02.07-Fancy-Indexing.ipynb)
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- [Sorting Arrays](notebooks/02.08-Sorting.ipynb)
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- [Structured Data: NumPy's Structured Arrays](notebooks/02.09-Structured-Data-NumPy.ipynb)
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#### 3. Data Manipulation with Pandas *(coming soon)*
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#### 4. Visualization with Matplotlib *(coming soon)*
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#### 5. Machine Learning *(coming soon)*
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### [Appendix: Figure Code](notebooks/06.00-Figure-Code.ipynb)
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## Code Listings
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notebooks/Index.ipynb

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"### [Preface](00.00-Preface.ipynb)\n",
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"\n",
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"### [IPython: Beyond Normal Python](01.00-IPython-Beyond-Normal-Python.ipynb)\n",
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"- [Help And Documentation](01.01-Help-And-Documentation.ipynb)\n",
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"- [Shell Keyboard Shortcuts](01.02-Shell-Keyboard-Shortcuts.ipynb)\n",
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"- [Magic Commands](01.03-Magic-Commands.ipynb)\n",
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"- [Input Output History](01.04-Input-Output-History.ipynb)\n",
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"- [IPython And Shell Commands](01.05-IPython-And-Shell-Commands.ipynb)\n",
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"- [Help and Documentation in IPython](01.01-Help-And-Documentation.ipynb)\n",
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"- [Keyboard Shortcuts in the IPython Shell](01.02-Shell-Keyboard-Shortcuts.ipynb)\n",
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"- [IPython Magic Commands](01.03-Magic-Commands.ipynb)\n",
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"- [Input and Output History](01.04-Input-Output-History.ipynb)\n",
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"- [IPython and Shell Commands](01.05-IPython-And-Shell-Commands.ipynb)\n",
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"- [Errors and Debugging](01.06-Errors-and-Debugging.ipynb)\n",
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"- [Timing and Profiling](01.07-Timing-and-Profiling.ipynb)\n",
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"- [Profiling and Timing Code](01.07-Timing-and-Profiling.ipynb)\n",
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"- [More IPython Resources](01.08-More-IPython-Resources.ipynb)\n",
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"\n",
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"### Introduction to NumPy *(coming soon)*\n",
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"### [Introduction to NumPy](02.00-Introduction-to-NumPy.ipynb)\n",
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"- [Understanding Data Types in Python](02.01-Understanding-Data-Types.ipynb)\n",
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"- [The Basics of NumPy Arrays](02.02-The-Basics-Of-NumPy-Arrays.ipynb)\n",
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"- [Computation on NumPy Arrays: Universal Functions](02.03-Computation-on-arrays-ufuncs.ipynb)\n",
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"- [Aggregations: Min, Max, and Everything In Between](02.04-Computation-on-arrays-aggregates.ipynb)\n",
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"- [Computation on Arrays: Broadcasting](02.05-Computation-on-arrays-broadcasting.ipynb)\n",
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"- [Comparisons, Masks, and Boolean Logic](02.06-Boolean-Arrays-and-Masks.ipynb)\n",
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"- [Fancy Indexing](02.07-Fancy-Indexing.ipynb)\n",
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"- [Sorting Arrays](02.08-Sorting.ipynb)\n",
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"- [Structured Data: NumPy's Structured Arrays](02.09-Structured-Data-NumPy.ipynb)\n",
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"\n",
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"### Data Manipulation with Pandas *(coming soon)*\n",
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"\n",
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"### Visualization with Matplotlib *(coming soon)*\n",
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"\n",
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"### Machine Learning *(coming soon)*"
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"### Machine Learning *(coming soon)*\n",
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"\n",
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"### [Appendix: Figure Code](06.00-Figure-Code.ipynb)"
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]
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}
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],

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