cuttlefishh · cuttlefishh · Jan 8, 2018 · Jan 8, 2018 · Jan 8, 2018
diff --git a/README.md b/README.md
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+Lesson	|	Title	|	Readings	|	Topics	|	Assignment
+-----	|	-----	|	-----	|	-----	|	-----
+[1](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson01.md)	|	Overview	|	None	|	Introductions and overview of course	|	Pre-course survey; Acquire texts
+[2](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson02.md)	|	Command Line Part I	|	Shaw: The Hard Way Is Easier, Exercise 0, Appendix A: Command Line Crash Course	|	Introduction to the command line, the bash shell, and text editors	|	Assignment 1: Basic Shell Commands
+[3](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson03.md)	|	Command Line Part II	|	--	|	Advanced commands in the bash shell	|	--
+[4](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson04.ipynb)	|	Conda, IPython, and Jupyter Notebooks	|	Install: [Miniconda 3](http://conda.pydata.org/miniconda.html)	|	Conda tutorial including Conda environments, Python packages, and PIP, Python and IPython in the command line, Jupyter notebook tutorial and Python crash course	|	Assignment 2: Bash, Conda, IPython, and Jupyter
+[5](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson05.ipynb)	|	Python Basics, Strings, Printing	|	Shaw: Exercises 1-10; Lutz: Ch 1-7	|	Python scripts, error messages, printing strings and variables, strings and string operations, numbers and mathematical expressions, getting help with commands and Ipython	|	--
+[6](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson06.ipynb)	|	Taking Input, Reading and Writing Files, Functions	|	Shaw: Exercises 11-26; Lutz: Ch 9, 14-17	|	Taking input, reading files, writing files, functions	|	Assignment 3: Python Fundamentals I
+[7](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson07.ipynb)	|	Logic, Loops, Lists, Dictionaries, and Tuples	|	Shaw: Exercises 27-39; Lutz: Ch 8-13	|	Logic and loops, lists and list comprehension, tuples, dictionaries, other types	|	--
+[8](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson08.ipynb)	|	Python and IPython Review	|	McKinney: Appendix: Python Language Essentials, Ch 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
+[9](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson09.ipynb)	|	Regular Expressions	|	Grep tutorials: [Drew's Grep Tutorial](http://www.uccs.edu/~ahitchco/grep/), [Linux Grep Tutorial](http://ryanstutorials.net/linuxtutorial/grep.php); [Python Regular Expressions Tutorial](https://docs.python.org/2/howto/regex.html)	|	Regular expression syntax, Command-line tools: `grep`, `sed`, `awk`, `perl -e`, Python examples: built-in and `re` module	|	--
+[10](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson10.ipynb)	|	Numpy, Pandas and Matplotlib Crashcourse	|	--	|	Numpy overview, Pandas overview, Matplotlib overview	|	Assignment 5: Regular Expressions
+[11](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson11.ipynb)	|	Pandas Basics	|	McKinney: Ch 1-2, 4 (Introduction to Scientific Computing with NumPy and Pandas)	|	`Series`, `DataFrame`, `index`, `columns`, `dtypes`, `info`, `describe`, `read_csv`, `head`, `tail`, `loc`, `iloc`, `ix`, `to_datetime`	|	--
+[12](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson12.ipynb)	|	Pandas Advanced	|	McKinney: Ch 5-7 (Data Analysis with Pandas); [Pandas Documentation: Indexing and Selecting Data](http://pandas.pydata.org/pandas-docs/stable/indexing.html)	|	`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
+[13](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson13.ipynb)	|	Plotting with Matplotlib	|	McKinney: Ch 8; J.R. Johansson: [Matplotlib 2D and 3D plotting in Python](http://github.com/jrjohansson/scientific-python-lectures)	|	Matplotlib tutorial from J.R. Johansson	|	--
+[14](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson14.ipynb)	|	Plotting with Seaborn	|	[Seaborn Tutorial](http://seaborn.pydata.org/tutorial.html)	|	Seaborn tutorial from Michael Waskom	|	Assignment 7: Matplotlib and Seaborn
+[15](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson15.ipynb)	|	Pandas Time Series	|	McKinney: Ch 10, [Pandas Documentation: Time Series and Date](http://pandas.pydata.org/pandas-docs/stable/timeseries.html)	|	Time series data in Pandas	|	--
+[16](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson16.ipynb)	|	Pandas Group Operations	|	McKinney: Ch 9	|	`groupby`, `melt`, `pivot`, `inplace=True`, `reindex`	|	Assignment 8: Pandas Advanced
+[17](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson17.ipynb)	|	Statistics Packages	|	--	|	Statitics capabilities of Pandas, Numpy, Scipy, and Scikit-bio	|	--
+[18](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson18.ipynb)	|	Interactive Visualization with Bokeh	|	[Bokeh User Guide](http://bokeh.pydata.org/en/latest/docs/user_guide.html)	|	Quickstart guide to making interactive HTML and notebook plots with Bokeh	|	Assignment 9: Statistics and Interactive Visualization
+[19](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson19.md)	|	Modules and Classes	|	Lutz: TBA	|	Packaging your code so you and others can use it again	|	--
+[20](https://github.com/cuttlefishh/python-for-data-analysis/blob/master/ipynb/lesson20.md)	|	Git and GitHub	|	--	|	Sharing your code in a public GitHub repository	|	Final Project