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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -44,7 +44,7 @@ Remember - If you’re not prepared to be wrong, you’ll never come up with any

1. [Career Resources](#career-resources)
* [Data Science Career Path](#data-science-career-path)
* [Types of Data Scientists](#types-of-data-scientists)
* [Types of Data Scientists](#types-of-daFta-scientists)
* [Data Science Applications/Use Cases](#data-science-applicationsuse-cases)
* [Data Science Websites/Books](#data-science-websitesbooks)
* [Data Science Meetups in the Bay Area](#data-science-meetups-in-the-bay-area)
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### Ipython Notebook Tutorials
Collection of ipython notebooks that are helpful as examples to either using tools or to explain certain topics.
* [Deepnote](https://www.deepnote.com) - Backwards-compatible Jupyter alternative with better UI & collaboration features & working online.
* [Pandas Tutorial](http://nbviewer.ipython.org/github/twiecki/financial-analysis-python-tutorial/blob/master/1.%20Pandas%20Basics.ipynb) - Basic intro to Pandas in notebook form.
* [Pandas / Stats Tutorial](https://github.com/fonnesbeck/pytenn2014_tutorial) - Intermediate tutorial by Christopher Fonnesbeck Feb 2014.
* [Scipy Tutorial](http://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-3-Scipy.ipynb) - Basic Scipy Tutorial.
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