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Added a useful resource #14

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -376,7 +376,7 @@ The spiritual successor to spyder, in that it is designed specifically for scien

# Beginner Recommendations

* First, install python through anaconda, which will also give you the packages you're about to use.
* First, [install python](https://www.scaler.com/topics/python/how-to-install-python-in-windows/) through anaconda, which will also give you the packages you're about to use.
* Write your code in either `pycharm` (if you want a professional IDE), `spyder` or `jupyterlab` (if you're used to MatLabs' environment).
* Become familiar with `numpy`, the fundamental numeric object in python, and `matplotlib`, the standard way to plot.
* Next, wrap your data into clearer, higher-level objects with either `Pandas` or `xarray` (use `xarray` if your data has more than one dimension).
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