[scikit-learn] R user trying to learn Python

[massimo di stefano]

Hi, along with all the great tips you received, perhaps you may find this useful:

http://www.cert.org/flocon/2011/matlab-python-xref.pdf

I know is not on-topic with your question, but I found it very useful when I start to use python (coming from R)
So I thought it was worth to post it here. 

It is very old but those basic functions are pretty stable.

The python code assumes a:

    from numpy import *

which others already explained you why is good practice to avoid it,


—Massimo.

> On Jun 18, 2017, at 12:02 PM, C W <tmrsg11 at gmail.com> wrote:
> 
> 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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