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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. Reflex open source tool helps turn Python code into web apps

    techcrunch.com/2023/08/02/reflex-open-source...

    lux capital, reflex, Y Combinator Winter 2023. Reflex has built an open source framework to make it easy to turn Python code into a we app. Today it announced a $5M seed investment.

  6. Barcode library - Wikipedia

    en.wikipedia.org/wiki/Barcode_library

    Java, .NET, C++, PHP, JavaScript, Python. Cross-platform (native), Java, .NET, Android, iOS and Tizen via .NET MAUI, Python via .NET and Java, Web. Aspose.Barcode library can write barcodes in 7 image formats and read barcodes from 5 image formats.

  7. Spyder (software) - Wikipedia

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

    Spyder is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language. Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.