[scikit-learn] R user trying to learn Python

[Gaël Pegliasco]

Hi,

You may find these R/Python comparison-sheets useful in understanding 
both languages syntaxes and concepts:

  * https://www.datacamp.com/community/tutorials/r-or-python-for-data-analysis
  * http://pandas.pydata.org/pandas-docs/stable/comparison_with_r.html


Gaël,

Le 18/06/2017 à 18:02, C W a écrit :
> Dear Scikit-learn,
>
> What are some good ways and resources to learn Python for data analysis?
>
> I am extremely frustrated using this thing. Everything comes after a 
> dot! Why would you type the sam thing at the beginning of every line. 
> It's not efficient.
>
> code 1:
> y_sin = np.sin(x)
> y_cos = np.cos(x)
>
> I know you can import the entire package without the "as np", but I 
> see np.something as the standard. Why?
>
> Code 2:
> model = LogisticRegression()
> model.fit(X_train, y_train)
> model.score(X_test, y_test)
>
> In R, everything is saved to a variable. In the code above, what if I 
> accidentally ran model.fit(), I would not know.
>
> Code 3:
> from sklearn import linear_model
> reg = linear_model.Ridge (alpha = .5)
> reg.fit ([[0, 0], [0, 0], [1, 1]], [0, .1, 1])
>
> In the code above, sklearn > linear_model > Ridge, one lives inside 
> the other, it feels that there are multiple layer, how deep do I have 
> to dig in?
>
> Can someone explain the mentality behind this setup?
>
> Thank you very much!
>
> M
>
>
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