Editing Community Data Science Workshops (Spring 2015)/Day 0 tutorial
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Hey now! That last result is a little strange. When you divide | Hey now! That last result is a little strange. When you divide number, even if the answer doesn't have a decimal place, you get an answer with a decimal point! What's going on here is that in Python (version 3, at least), division produces an what's called a <code>float</code> which essentially means a number with a decimal point. | ||
When the Python interpreter goes to do the division, it knows that (unlike multiplication for example) division can lead to numbers that aren't whole numbers (like <code>1/2</code>) so it means that the result will always include a decimal place. | |||
When the Python interpreter goes to do the division, it knows that (unlike multiplication for example) division can lead to numbers that aren't whole numbers (like <code>1/2</code>) so it | |||
==Types== | ==Types== | ||
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<ol> | <ol> | ||
<li>Download the file http://mako.cc/teaching/ | <li>Download the file http://mako.cc/teaching/2014/cdsw/nobel.py by right-clicking on it and saying to save it as a ".py" file to your Desktop. The ".py" extension hints that this is a Python script.</li> | ||
<li>Open a terminal prompt, and use the navigation commands (<code>dir</code> and <code>cd</code> on Windows, <code>ls</code>, <code>pwd</code>, and <code>cd</code> on OS X and Linux) to navigate to your Desktop directory. See [[ | <li>Open a terminal prompt, and use the navigation commands (<code>dir</code> and <code>cd</code> on Windows, <code>ls</code>, <code>pwd</code>, and <code>cd</code> on OS X and Linux) to navigate to your Desktop directory. See [[Community Data Science Workshops (Fall 2014)/Day 0 setup and tutorial#Goal_.234:_practice_navigating_the_computer_from_a_terminal|navigating from a terminal]] for a refresher on those commands.</li> | ||
<li>Once you are in your Desktop directory, execute the contents of <code>nobel.py</code> by typing | <li>Once you are in your Desktop directory, execute the contents of <code>nobel.py</code> by typing | ||
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<code>nobel.py</code> introduces two new concepts: comments and multiline strings.</li> | <code>nobel.py</code> introduces two new concepts: comments and multiline strings.</li> | ||
<li>Open <code>nobel.py</code> in your text editor (see [[ | <li>Open <code>nobel.py</code> in your text editor (see [[Community Data Science Workshops (Fall 2014)/Day 0 setup and tutorial#Goal_.232:_prepare_a_text_editor|preparing your text editor]] for a refresher on starting the editor).</li> | ||
<li>Read through the file in your text editor carefully and check your understanding of both the comments and the code.</li> | <li>Read through the file in your text editor carefully and check your understanding of both the comments and the code.</li> | ||
</ol> | </ol> | ||
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Take a break, stretch, meet some neighbors, and ask the staff if you have any questions about this material. | Take a break, stretch, meet some neighbors, and ask the staff if you have any questions about this material. | ||