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minor edits to lessons 11-12
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‎README.md‎

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[8](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson08.ipynb) | Python and IPython Review | McKinney: Ch1-3 | Review of Python commands, IPython review -- enhanced interactive Python shells with support for data visualization, distributed and parallel computation and a browser-based notebook with support for code, text, mathematical expressions, inline plots and other rich media | Assignment 4: Python Fundamentals II
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[9](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson09.ipynb) | Regular Expressions | Regex tutorials (see lesson) | Regular expression syntax, Command-line tools: `grep`, `sed`, `awk`, `perl -e`, Python examples: built-in and `re` module | --
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[10](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson10.ipynb) | Numpy, Pandas and Matplotlib Crashcourse | -- | Numpy, Pandas, and Matplotlib overview | Assignment 5: Regular Expressions
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[11](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson11.ipynb) | Pandas Basics | McKinney: Ch4-5 | Intro to NumPy and Pandas: `ndarray`, `Series`, `DataFrame`, `index`, `columns`, `dtypes`, `info`, `describe`, `read_csv`, `head`, `tail`, `loc`, `iloc`, `ix`, `to_datetime` | --
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[12](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson12.ipynb) | Pandas Advanced | McKinney: Ch6-8 | Data Analysis with Pandas: `concat`, `append`, `merge`, `join`, `set_option`, `stack`, `unstack`, `transpose`, dot-notation, `values`, `apply`, `lambda`, `sort_index`, `sort_values`, `to_csv`, `read_csv`, `isnull` | Assignment 6: Pandas Fundamentals
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[11](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson11.ipynb) | Pandas Part I | McKinney: Ch4-5 | Intro to NumPy and Pandas: `ndarray`, `Series`, `DataFrame`, `index`, `columns`, `dtypes`, `info`, `describe`, `read_csv`, `head`, `tail`, `loc`, `iloc`, `ix`, `to_datetime` | --
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[12](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson12.ipynb) | Pandas Part II | McKinney: Ch6-8 | Data Analysis with Pandas: `concat`, `append`, `merge`, `join`, `set_option`, `stack`, `unstack`, `transpose`, dot-notation, `values`, `apply`, `lambda`, `sort_index`, `sort_values`, `to_csv`, `read_csv`, `isnull` | Assignment 6: Pandas Fundamentals
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[13](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson13.ipynb) | Plotting with Matplotlib | McKinney: Ch9; J.R. Johansson: [Matplotlib 2D and 3D plotting in Python](http://github.com/jrjohansson/scientific-python-lectures) | Matplotlib tutorial from J.R. Johansson | --
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[14](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson14.ipynb) | Plotting with Seaborn | [Seaborn Tutorial](http://seaborn.pydata.org/tutorial.html) | Seaborn tutorial from Michael Waskom | Assignment 7: Plotting
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[15](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson15.ipynb) | Pandas Time Series | McKinney: Ch11 | Time series data in Pandas | --
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[19](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson19.md) | Modules and Classes | Lutz: TBA | Packaging your code so you and others can use it again | --
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[20](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/lessons/lesson20.md) | Git and GitHub | -- | Sharing your code in a public GitHub repository | Final Project
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‎lessons/lesson11.ipynb‎

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"## Lesson 11 - Pandas Basics\n",
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"## Lesson 11 - Pandas Part I\n",
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"\n",
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"In this lesson we will cover some basic features of [Pandas](http://pandas.pydata.org):\n",
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