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 * >_ Launch Interactive Shell

 * # Python 3: Fibonacci series up to n
   >>> def fib(n):
   >>>     a, b = 0, 1
   >>>     while a < n:
   >>>         print(a, end=' ')
   >>>         a, b = b, a+b
   >>>     print()
   >>> fib(1000)
   0 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987
   
   
   FUNCTIONS DEFINED
   
   The core of extensible programming is defining functions. Python allows
   mandatory and optional arguments, keyword arguments, and even arbitrary
   argument lists. More about defining functions in Python 3

 * # Python 3: List comprehensions
   >>> fruits = ['Banana', 'Apple', 'Lime']
   >>> loud_fruits = [fruit.upper() for fruit in fruits]
   >>> print(loud_fruits)
   ['BANANA', 'APPLE', 'LIME']
   
   # List and the enumerate function
   >>> list(enumerate(fruits))
   [(0, 'Banana'), (1, 'Apple'), (2, 'Lime')]
   
   
   COMPOUND DATA TYPES
   
   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. More about lists in Python 3

 * # Python 3: Simple arithmetic
   >>> 1 / 2
   0.5
   >>> 2 ** 3
   8
   >>> 17 / 3  # classic division returns a float
   5.666666666666667
   >>> 17 // 3  # floor division
   5
   
   
   INTUITIVE INTERPRETATION
   
   Calculations are simple with Python, and expression syntax is
   straightforward: the operators +, -, * and / work as expected; parentheses ()
   can be used for grouping. More about simple math functions in Python 3.

 * # For loop on a list
   >>> numbers = [2, 4, 6, 8]
   >>> product = 1
   >>> for number in numbers:
   ...    product = product * number
   ... 
   >>> print('The product is:', product)
   The product is: 384
   
   
   ALL THE FLOW YOU’D EXPECT
   
   Python knows the usual control flow statements that other languages speak —
   if, for, while and range — with some of its own twists, of course. More
   control flow tools in Python 3

 * # Simple output (with Unicode)
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   Hello, I'm Python!
   # Input, assignment
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   What is your name?
   Python
   >>> print(f'Hi, {name}.')
   Hi, Python.
   
   
   
   QUICK & EASY TO LEARN
   
   Experienced programmers in any other language can pick up Python very
   quickly, and beginners find the clean syntax and indentation structure easy
   to learn. Whet your appetite with our Python 3 overview.

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> Einblick reimagines the modern data science workflow in a collaborative data
> science canvas, rather than a linear notebook. Working in a canvas environment
> offers many advantages including live collaboration, an expansive visual
> interface, and a progressive computation engine. In this article, we’ll
> highlight one of the key ways we’re saving data scientists time–our operators.
> We’ll go through a couple of our core operators, why Python is such a crucial
> part of our software solution, and how we augmented our offerings with a user
> operator interface. The latter allows users to customize and use their own
> operators, which can be used in any Einblick canvas, and shared with other
> Einblick users.

Reimagining data science with Python-based operators in Einblick’s visual canvas
by Becca Weng


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