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<li>
<div class="slide-code"><pre><code><span class="comment"># Python 3: Fibonacci series up to n</span>
>>> def fib(n):
>>> a, b = 0, 1
>>> while a < n:
>>> print(a, end=' ')
>>> a, b = b, a+b
>>> print()
>>> fib(1000)
<span class="output">0 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987</span></code></pre></div>
<div class="slide-copy"><h1>Functions Defined</h1>
<p>The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. <a href="//docs.python.org/3/tutorial/controlflow.html#defining-functions">More about defining functions in Python 3</a></p></div>
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<div class="slide-code"><pre><code><span class="comment"># Python 3: List comprehensions</span>
>>> fruits = ['Banana', 'Apple', 'Lime']
>>> loud_fruits = [fruit.upper() for fruit in fruits]
>>> print(loud_fruits)
<span class="output">['BANANA', 'APPLE', 'LIME']</span>
<span class="comment"># List and the enumerate function</span>
>>> list(enumerate(fruits))
<span class="output">[(0, 'Banana'), (1, 'Apple'), (2, 'Lime')]</span></code></pre></div>
<div class="slide-copy"><h1>Compound Data Types</h1>
<p>Lists (known as arrays in other languages) are one of the compound data types that Python understands. Lists can be indexed, sliced and manipulated with other built-in functions. <a href="//docs.python.org/3/tutorial/introduction.html#lists">More about lists in Python 3</a></p></div>
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<li>
<div class="slide-code"><pre><code><span class="comment"># Python 3: Simple arithmetic</span>
>>> 1 / 2
<span class="output">0.5</span>
>>> 2 ** 3
<span class="output">8</span>
>>> 17 / 3 <span class="comment"># classic division returns a float</span>
<span class="output">5.666666666666667</span>
>>> 17 // 3 <span class="comment"># floor division</span>
<span class="output">5</span></code></pre></div>
<div class="slide-copy"><h1>Intuitive Interpretation</h1>
<p>Calculations are simple with Python, and expression syntax is straightforward: the operators <code>+</code>, <code>-</code>, <code>*</code> and <code>/</code> work as expected; parentheses <code>()</code> can be used for grouping. <a href="http://docs.python.org/3/tutorial/introduction.html#using-python-as-a-calculator">More about simple math functions in Python 3</a>.</p></div>
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<div class="slide-code"><pre><code><span class="comment"># Python 3: Simple output (with Unicode)</span>
>>> print("Hello, I'm Python!")
<span class="output">Hello, I'm Python!</span>
<span class="comment"># Input, assignment</span>
>>> name = input('What is your name?\n')
>>> print('Hi, %s.' % name)
<span class="output">What is your name?
Python
Hi, Python.</span></code></pre></div>
<div class="slide-copy"><h1>Quick & Easy to Learn</h1>
<p>Experienced programmers in any other language can pick up Python very quickly, and beginners find the clean syntax and indentation structure easy to learn. <a href="//docs.python.org/3/tutorial/">Whet your appetite</a> with our Python 3 overview.</p>
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<div class="slide-code"><pre><code><span class="comment"># For loop on a list</span>
>>> numbers = [2, 4, 6, 8]
>>> product = 1
>>> for number in numbers:
... product = product * number
...
>>> print('The product is:', product)
<span class="output">The product is: 384</span></code></pre></div>
<div class="slide-copy"><h1>All the Flow You’d Expect</h1>
<p>Python knows the usual control flow statements that other languages speak — <code>if</code>, <code>for</code>, <code>while</code> and <code>range</code> — with some of its own twists, of course. <a href="//docs.python.org/3/tutorial/controlflow.html">More control flow tools in Python 3</a></p></div>
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