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README.md

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@@ -237,11 +237,12 @@ Anaconda ships with its own IDE called Spyder which is similar to R-Studio the m
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Some developers like to keep their hands on the keyboard at all times and prefer minimal text editors like VIM or Emacs. [Visit this page][22] to see a longer list of editors for Python.
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## Jupyter Notebook
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We h
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use jupyter notebook in pycharm: https://www.jetbrains.com/help/pycharm/using-ipython-jupyter-notebook-with-pycharm.html
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We have finally arrived at my personal favorite environment for doing data science. Jupyter Notebooks provide a web-based interface to a number of different programming languages. The project was originally titled "iPython notebook" and was specifically built for just iPython as a backend. It turned out that notebooks are a very popular way to develop. To accomodate other languages that project was retitled Jupyter for the languages **JU**lia, **PY**thon and **R**. The Jupyter project now works with over 50 different language "kernels" of which IPython is just one.
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The rest of this tutorial will take place in Jupyter Notebooks.
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Typical workflows for data scientists
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> 1. Open a terminal and run `jupyter notebook`
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> 1. Open up the first notebook `0
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[1]: (https://www.meetup.com/Houston-Data-Science/)
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[2]: (https://www.python.org/downloads/)

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