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  • # 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.

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

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Whether you're new to programming or an experienced developer, it's easy to learn and use Python.

Start with our Beginner’s Guide

Download

Python source code and installers are available for download for all versions!

Latest: Python 3.14.4

Docs

Documentation for Python's standard library, along with tutorials and guides, are available online.

docs.python.org

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Looking for work or have a Python related position that you're trying to hire for? Our relaunched community-run job board is the place to go.

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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

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