Notice: While JavaScript is not essential for this website, your interaction with the content will be limited. Please turn JavaScript on for the full experience.
# 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
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')]
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
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
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
if
for
while
range
# 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.
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
Whether you're new to programming or an experienced developer, it's easy to learn and use Python.
Start with our Beginner’s Guide
Python source code and installers are available for download for all versions!
Latest: Python 3.12.4
Documentation for Python's standard library, along with tutorials and guides, are available online.
docs.python.org
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.
jobs.python.org
More
Prioritizing cutting-edge speed and supporting the rapid growth of Hudson River Trading’s codebase can have unintended effects that require innovative solutions. For those working on our Python codebase, this means addressing “code tangling,” the coupling of unrelated code through unintuitive import cycles. In this article, George Farcasiu, Noah Kim, Jacob Brugh, and Jiahao Li discuss how they mitigate the cost and time burden of this issue by creating new tools to analyze and untangle dependencies efficiently.
Building a Dependency Graph of Our Python Codebase by George Farcasiu, Noah Kim, Jacon Brugh, Jiahao Li
The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers. Learn more
Become a Member Donate to the PSF