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resources.md

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# Resources
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## Data Science
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### Data Science Books
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+ [Pandas Cookbook](https://www.packtpub.com/big-data-and-business-intelligence/pandas-cookbook)
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+ [Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/)
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### Python Data Science Cheet Sheets
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+ [Pandas](https://www.datacamp.com/community/blog/python-pandas-cheat-sheet)
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+ [Scipy](https://www.datacamp.com/community/blog/python-scipy-cheat-sheet)
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+ [NumPy](https://www.datacamp.com/community/blog/python-numpy-cheat-sheet)
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+ [Scikit-Learn](https://www.datacamp.com/community/blog/scikit-learn-cheat-sheet)
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+ [Jupyter Notebook](https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook)
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+ [Basic Python](https://www.datacamp.com/community/tutorials/python-data-science-cheat-sheet-basics)
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+ [Bokeh](https://www.datacamp.com/community/blog/bokeh-cheat-sheet-python)
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### Data Science Bootcamps
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+ [Level Data Analytics](http://www.leveledu.com/data-analytics)
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+ [General Assembly](https://generalassemb.ly)
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+ [NY Data Science](http://nycdatascience.com/)
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+ [Galvanize](http://www.galvanize.com/)
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+ [Divergence Academy](https://divergence.academy/)
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+ [Metis](https://www.thisismetis.com/data-science-bootcamps)
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+ [Insight Data Science](http://insightdatascience.com/)
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### Online Data Science Bootcamps/Learning
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+ [Data Camp](https://www.datacamp.com/)
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+ [Springboard](https://www.springboard.com/)
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+ [Thinkful](https://www.thinkful.com/)
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+ [K2 Data Science Bootcamp](http://www.k2datascience.com/)
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+ [Data Incubator](https://www.thedataincubator.com/fellowship.html)
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+ [DataQuest](https://www.dataquest.io/)
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+ [Udacity](https://www.udacity.com/courses/data-science)
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+ [Data Society](https://datasociety.co/)
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+ [Data Science Dojo](https://datasciencedojo.com/)
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+ [RMOTR Python classes](https://rmotr.com/)
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### Do it yourself Data Science Masters
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+ [Open Source Data Science Masters](http://datasciencemasters.org/)
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### Jupyter Notebooks
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+ [Temporary Notebooks](tmpnb.org)
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+ [Data Science Handbook](https://github.com/jakevdp/PythonDataScienceHandbook)
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### Pandas
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+ [Official Documentation](http://pandas.pydata.org/pandas-docs/stable/): It is excellent
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+ [Lots of pandas resources](http://www.dataschool.io/best-python-pandas-resources/)
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### Podcasts
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+ [Data Skeptic](https://dataskeptic.com/)
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+ [Partially Derivative](http://partiallyderivative.com/)
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+ [Becoming a Data Scientist](https://www.becomingadatascientist.com/category/podcast/)
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+ [Talking Machines](http://www.thetalkingmachines.com/)
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## Environment Setup
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### Text Editors/IDEs
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+ [Sublime Text](https://www.sublimetext.com/3)
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+ [Atom](https://atom.io/)
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+ [Notepad++](https://notepad-plus-plus.org/)
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+ [Jupyter](http://jupyter.org/)
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+ [Pycharm](https://www.jetbrains.com/pycharm/)
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+ [Spyder](https://www.continuum.io/downloads)
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+ [Rodeo](https://www.yhat.com/products/rodeo)
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### Online Editors
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+ [collabedit](http://collabedit.com/)
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+ [Python Fiddle](http://pythonfiddle.com/)
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+ [Cloud9](https://c9.io/)
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+ [codeanywhere](https://codeanywhere.com/)
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+ [codepen](http://codepen.io/)
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+ [skulpt](http://www.skulpt.org/)
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## Python
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### Learning Python Books
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+ [Think Python](http://greenteapress.com/wp/think-python-2e/)
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+ [Automate the Boring Stuff](https://automatetheboringstuff.com/)
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+ [Learn Python the Hardway](http://learnpythonthehardway.org/book/)
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+ [Porting to pythong3](http://python3porting.com/)
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+ [Official Docs](http://docs.python-guide.org/en/latest/)
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+ [Dive into Python 3](http://www.diveintopython3.net/)
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### Advanced Python Books
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+ [Python Cookbook](http://chimera.labs.oreilly.com/books/1230000000393)
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+ [Fluent Python](https://www.amazon.com/gp/product/1491946008)
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+ [Powerful Python](https://powerfulpython.com/)
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+ [Mastering Python](https://www.amazon.com/gp/product/1785289721)
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+ [Expert Python Programming](https://www.amazon.com/gp/product/1785886851)
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### Message Forums
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* Reddit [/r/Python](https://www.reddit.com/r/Python/)
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* Reddit [/r/learnpython](https://www.reddit.com/r/learnpython/)
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### Videos
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+ [Python Tutorials by Corey Schafer](https://www.youtube.com/user/schafer5)
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+ [sentdex](https://www.youtube.com/user/sentdex)
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+ [Python Conferences](http://pyvideo.org/)
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###Other References
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+ [Beginners guide reference](https://wiki.python.org/moin/BeginnersGuide)
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+ [Full Stack Python](http://www.fullstackpython.com/)
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###Online Coding Practice
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+ [codewars](https://www.codewars.com)
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+ [coderbyte](https://www.coderbyte.com/)
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+ [learnpython.org](http://www.learnpython.org/)
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+ [codecademy Python](https://www.codecademy.com/learn/python)
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+ [hackerrank Python](https://www.hackerrank.com/domains/python/py-introduction)
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+ [pyschools](http://www.pyschools.com/)
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+ [codechef](https://www.codechef.com/)
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+ [codefights](https://codefights.com/)
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+ [topcoder](https://www.topcoder.com/)
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+ [codeeval](https://www.codeeval.com/)
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+ [project euler](https://projecteuler.net/)
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+ [ScratchJr for kids](https://www.scratchjr.org/)
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### Online Courses for everything
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+ [Coursera](http://coursera.com/)
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+ [EdX](https://edx.org)
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+ [Udemy](https://udemy.com)
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### Random Tutorials
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+ [Turn you Python script into an executable](https://medium.com/@looneymicheal/python-in-the-wild-e67e25ada254#.ef5m31330)
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### Blogs
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+ Jeff Knup's [Everything I know about Python](https://jeffknupp.com/)
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### Source Code
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* [Python github repo](https://github.com/python/cpython/)
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### Specific Python Topics
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#### Python Idioms
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+ [Don't repeat yourself (DRY)](https://en.wikipedia.org/wiki/Don't_repeat_yourself)
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#### Memoization
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[Memoization with decorators](http://www.python-course.eu/python3_memoization.php)
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#### Decorators
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#### Metaclasses
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#### Unit Tests
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## git tutorial
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+ [Githubs own tutorial](https://try.github.io/wrap_up)
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+ [Codecademy git](https://www.codecademy.com/learn/learn-git)
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## Spaced Repitition
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[Benefits of memorizing code](http://www.jackkinsella.ie/2011/12/05/janki-method.html)

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