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DOC: beef up tutorial section. GH5837 #6095

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DOC: beef up tutorial section. GH5837 #6095

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17 changes: 17 additions & 0 deletions doc/source/tutorials.rst
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Expand Up @@ -108,3 +108,20 @@ For more resources, please visit the main `repository <https://bitbucket.org/hro
* | `11 - Lesson: <http://nbviewer.ipython.org/urls/bitbucket.org/hrojas/learn-pandas/raw/master/lessons/11%20-%20Lesson.ipynb>`_

* Combining data from various sources


Excel charts with pandas, vincent and xlsxwriter
------------------------------------------------

* `Using Pandas and XlsxWriter to create Excel charts <http://pandas-xlsxwriter-charts.readthedocs.org/>`_

Various Tutorials
-----------------

* `Wes McKinney's (Pandas BDFL) blog <http://blog.wesmckinney.com/>`_
* `Statistical analysis made easy in Python with SciPy and pandas DataFrames, by Randal Olson <http://www.randalolson.com/2012/08/06/statistical-analysis-made-easy-in-python/>`_
* `Statistical Data Analysis in Python, tutorial videos, by Christopher Fonnesbeck from SciPy 2013 <http://conference.scipy.org/scipy2013/tutorial_detail.php?id=109>`_
* `Financial analysis in python, by Thomas Wiecki <http://nbviewer.ipython.org/github/twiecki/financial-analysis-python-tutorial/blob/master/1.%20Pandas%20Basics.ipynb>`_
* `Intro to pandas data structures, by Greg Reda <http://www.gregreda.com/2013/10/26/intro-to-pandas-data-structures/>`_
* `Pandas and Python: Top 10, by Manish Amde <http://manishamde.github.io/blog/2013/03/07/pandas-and-python-top-10/>`_
* `Pandas Tutorial, by Mikhail Semeniuk <www.bearrelroll.com/2013/05/python-pandas-tutorial>`_