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    <div class="moz-cite-prefix">Hi,<br>
      <br>
      You may find these R/Python comparison-sheets useful in
      understanding both languages syntaxes and concepts:<br>
      <br>
      <ul>
        <li><a class="moz-txt-link-freetext" href="https://www.datacamp.com/community/tutorials/r-or-python-for-data-analysis">https://www.datacamp.com/community/tutorials/r-or-python-for-data-analysis</a></li>
        <li><a class="moz-txt-link-freetext" href="http://pandas.pydata.org/pandas-docs/stable/comparison_with_r.html">http://pandas.pydata.org/pandas-docs/stable/comparison_with_r.html</a></li>
      </ul>
      <br>
      Gaël,<br>
      <br>
      Le 18/06/2017 à 18:02, C W a écrit :<br>
    </div>
    <blockquote type="cite"
cite="mid:CAE2FW2k5hbOj-9G9BZOAN-hsm158xA10Hwo+EG6+yQ=jWv=zjg@mail.gmail.com">
      <div dir="ltr">Dear Scikit-learn,
        <div><br>
        </div>
        <div>What are some good ways and resources to learn Python for
          data analysis?</div>
        <div><br>
        </div>
        <div>
          <div>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.</div>
        </div>
        <div><br>
        </div>
        <div>code 1:</div>
        <div>y_sin = np.sin(x)</div>
        <div>y_cos = np.cos(x)</div>
        <div><br>
        </div>
        <div>I know you can import the entire package without the "as
          np", but I see np.something as the standard. Why?<br>
        </div>
        <div><br>
        </div>
        <div>
          <div>
            <div>Code 2:</div>
            <div>model = LogisticRegression()</div>
            <div>model.fit(X_train, y_train)</div>
          </div>
          <div>model.score(X_test, y_test)<br>
          </div>
        </div>
        <div><br>
        </div>
        <div>In R, everything is saved to a variable. In the code above,
          what if I accidentally ran model.fit(), I would not know.</div>
        <div><br>
        </div>
        <div>Code 3:</div>
        from sklearn import linear_model<br>
        reg = linear_model.Ridge (alpha = .5)<br>
        reg.fit ([[0, 0], [0, 0], [1, 1]], [0, .1, 1])
        <div><br>
        </div>
        <div>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?</div>
        <div><br>
        </div>
        <div>Can someone explain the mentality behind this setup?</div>
        <div><br>
        </div>
        <div>Thank you very much!</div>
        <div><br>
        </div>
        <div>M</div>
      </div>
      <br>
      <fieldset class="mimeAttachmentHeader"></fieldset>
      <br>
      <pre wrap="">_______________________________________________
scikit-learn mailing list
<a class="moz-txt-link-abbreviated" href="mailto:scikit-learn@python.org">scikit-learn@python.org</a>
<a class="moz-txt-link-freetext" href="https://mail.python.org/mailman/listinfo/scikit-learn">https://mail.python.org/mailman/listinfo/scikit-learn</a>
</pre>
    </blockquote>
    <p><br>
    </p>
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