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   * PYTHON IS A PROGRAMMING LANGUAGE THAT LETS YOU WORK MORE QUICKLY AND
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   * PYTHON SOURCE
     
     Python 3.12.5
     
     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 3.12.5
     
     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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   * > Maintaining our ever-evolving Python codebase poses an intricate
     > challenge: how do we make updates to reflect the changing rules and
     > regulations of 200+ global markets without compromising access to the
     > systems that our engineers and traders use on a daily basis? While an
     > inner layer of shared business logic enables coherency in our codebase
     > performance, it also means small regulatory changes can impact many
     > systems. In this article, Python Engineer John Lekberg details how we use
     > Python type annotations to minimize the time and risk involved in manual
     > verification.
     
     John Lekberg, Hudson River Trading
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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.

 1. 1
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Python is a programming language that lets you work quickly and integrate
systems more effectively. Learn More


GET STARTED

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Latest: Python 3.12.5


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 * 2024-08-07 Security Developer-in-Residence role extended thanks to
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 * 2024-08-07 Python 3.12.5 released


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 * 2024-09-10 Python CDMX


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> Maintaining our ever-evolving Python codebase poses an intricate challenge:
> how do we make updates to reflect the changing rules and regulations of 200+
> global markets without compromising access to the systems that our engineers
> and traders use on a daily basis? While an inner layer of shared business
> logic enables coherency in our codebase performance, it also means small
> regulatory changes can impact many systems. In this article, Python Engineer
> John Lekberg details how we use Python type annotations to minimize the time
> and risk involved in manual verification.

Building Robust Codebases with Python's Type Annotations by John Lekberg


USE PYTHON FOR…

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