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Skip to content Close Python PSF Docs PyPI Jobs Community The Python Network Donate &equiv; Menu Search This Site GO A A Smaller Larger Reset Socialize LinkedIn Mastodon Chat on IRC Twitter About Applications Quotes Getting Started Help Downloads All releases Source code Windows macOS Android iOS Other Platforms License Alternative Implementations Documentation Docs Audio/Visual Talks Beginner's Guide FAQ Non-English Docs PEP Index Python Books Python Essays Community Diversity Mailing Lists IRC Forums PSF Annual Impact Report Python Conferences Special Interest Groups Python Logo Python Wiki Code of Conduct Community Awards Get Involved Shared Stories Success Stories Arts Business Education Engineering Government Scientific Software Development News Python News PSF Newsletter PSF News PyCon US News Python Insider News from the Community Events Python Events User Group Events Python Events Archive User Group Events Archive Submit an Event >_ Launch Interactive Shell # Simple arithmetic >>> 1 / 2 0.5 >>> 2 ** 3 8 >>> 17 / 3 # true 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. # 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 # 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&rsquo;d Expect Python knows the usual control flow statements that other languages speak &mdash; if, for, while and range &mdash; with some of its own twists, of course. More control flow tools in Python 3 # 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 # Simple output (with Unicode) >>> print("Hello, I'm Python!") Hello, I'm Python! # Input, assignment >>> name = input('What is your name?\n') >>> print(f'Hi, {name}.') What is your name? Python 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 Get Started Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Start with our Beginner&rsquo;s Guide Download Python source code and installers are available for download for all versions! Latest: Python 3.14.7 Docs Documentation for Python's standard library, along with tutorials and guides, are available online. docs.python.org Jobs Looking for work or have a Python related position that you're trying to hire for? 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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 Use Python for&hellip; More Web Development: Django, Pyramid, Bottle, Tornado, Flask, Litestar, FastAPI GUI Development: tkInter, PyGObject, PyQt, PySide, Kivy, wxPython, DearPyGui AI and Machine Learning: PyTorch, TensorFlow, scikit-learn, Transformers, Anthropic, LangChain Scientific and Numeric: SciPy, Pandas, IPython Software Development: Buildbot, Trac, Roundup System Administration: Ansible, Salt, OpenStack, xonsh >>> Python Software Foundation 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. 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