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   * PYTHON IS A PROGRAMMING LANGUAGE THAT LETS YOU WORK MORE QUICKLY AND
     INTEGRATE YOUR SYSTEMS MORE EFFECTIVELY.
     
     You can learn to use Python and see almost immediate gains in productivity
     and lower maintenance costs. Learn more about Python.
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   * DOWNLOAD FOR MACOS
     
     Python 3.12.2
     
     Not the OS you are looking for? Python can be used on many operating
     systems and environments. View the full list of downloads.
     
     
     PYTHON SOURCE
     
     Python 3.12.2
     
     Not the OS you are looking for? Python can be used on many operating
     systems and environments. View the full list of downloads.
     
     DOWNLOAD FOR WINDOWS
     
     Python 3.12.2
     
     Note that Python 3.9+ cannot be used on Windows 7 or earlier.
     
     Not the OS you are looking for? Python can be used on many operating
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     DOWNLOAD PYTHON FOR ANY OS
     
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   * PYTHON’S STANDARD DOCUMENTATION: DOWNLOAD, BROWSE OR WATCH A TUTORIAL.
     
     Get started below, or visit the Documentation page to browse by version.
     
     
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   * > "Python is all about automating repetitive tasks, leaving more time for
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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)
   >>> print("Hello, I'm Python!")
   Hello, I'm Python!
   # Input, assignment
   >>> name = input('What is your name?\n')
   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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Python is a programming language that lets you work quickly and integrate
systems more effectively. Learn More


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Latest: Python 3.12.2


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 * 2024-02-29 White House recommends use of memory-safe languages like Python
 * 2024-02-15 Python 3.13.0 alpha 4 is now available
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 * 2024-02-07 Introducing PSF Grants Program Office Hours
 * 2024-02-07 Python 3.12.2 and 3.11.8 are now available.


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> Python and its broad variety of libraries are very well suited to develop
> customized machine learning tools which tackle the complex challenges posed by
> financial time series.

Python for Financial Machine Learning at Union Investment by Dr. Christian
Mandery and Nikolas Gerlich


USE PYTHON FOR…

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>>> PYTHON ENHANCEMENT PROPOSALS (PEPS): THE FUTURE OF PYTHON IS DISCUSSED HERE.
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