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  2. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python has a "string format" operator % that functions analogously to printf format strings in C—e.g. "spam=%s eggs=%d" % ("blah", 2) evaluates to "spam=blah eggs=2". In Python 2.6+ and 3+, this was supplemented by the format() method of the str class, e.g. "spam={0} eggs= {1}".format("blah", 2).

  3. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python syntax and semantics. A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers).

  4. History of Python - Wikipedia

    en.wikipedia.org/wiki/History_of_Python

    The programming language Python was conceived in the late 1980s, [1] and its implementation was started in December 1989 [2] by Guido van Rossum at CWI in the Netherlands as a successor to ABC capable of exception handling and interfacing with the Amoeba operating system. [3]

  5. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    Quixote, a framework for developing Web applications in Python. RapidSMS, a web framework which extends the logic and capabilities of Django to communicate with SMS messages. Spyce, a technology to embed Python code into webpages. TACTIC, a web-based smart process application and digital asset management system.

  6. Guido van Rossum - Wikipedia

    en.wikipedia.org/wiki/Guido_van_Rossum

    Code that is as understandable as plain English; Suitability for everyday tasks, allowing for short development times; In 2019, Python became the second most popular language on GitHub, the largest source code management website on the internet, second only to JavaScript.

  7. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    Website. pandas .pydata .org. Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.