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TINA was created and developed by DesignSoft, a Hungarian company in Budapest. The first Windows version was released in 1993 as TINA 4.0 for analog, digital, and mixed circuits. [3] TINA 9.0 also includes microcontroller (MCU) simulation, RF network analysis, optimization, and printed circuit board design. [2]
In this file, there are two functions sin() and strcmp(), a global variable Foo, and two constants STATUS and VERSION.When SWIG creates an extension module, these declarations are accessible as scripting language functions, variables, and constants respectively.
The Decorator Pattern (or an implementation of this design pattern in Python - as the above example) should not be confused with Python Decorators, a language feature of Python. They are different things. Second to the Python Wiki: The Decorator Pattern is a pattern described in the Design Patterns Book.
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
It was released alongside PyPy 2.3.1 and bears the same version number. On 21 March 2017, the PyPy project released version 5.7 of both PyPy and PyPy3, with the latter introducing beta-quality support for Python 3.5. [25] On 26 April 2018, version 6.0 was released, with support for Python 2.7 and 3.5 (still beta-quality on Windows). [26]
The Bridge design pattern is one of the twenty-three well-known GoF design patterns that describe how to solve recurring design problems to design flexible and reusable object-oriented software, that is, objects that are easier to implement, change, test, and reuse.
Beautiful Soup 3 was the official release line of Beautiful Soup from May 2006 to March 2012. The current release is Beautiful Soup 4.x. In 2021, Python 2.7 support was retired and the release 4.9.3 was the last to support Python 2.7. [9]
[3]: 288 For example, iteration over a directory structure could be implemented by a function class instead of more conventional loop pattern. This would allow deriving various useful information from directories content by implementing a visitor functionality for every item while reusing the iteration code.