01 August, 2014

History of Python - Versions, Features, and Upgrades

Python is a hugely popular general-purpose as well as high-end programming language that is based on code readability. The syntax of Python provides the programmers the unique option of expressing concepts by writing new codes that are better than what is needed in case of other languages like C or C++. The language helps in creating constructs that are designed to develop clearer programs on a large scale as well as a small scale.

It can well be termed as an interpreted, high level, object oriented programming language, that comes up with a series of dynamic semantics. The high end data structures, that are combined with dynamic binding as we’ll as typing, make the language so lucrative, especially when it comes to RAD or Rapid Application Development or using the language for scripting or as a glue language for connecting the existing components with each other. It is simple and its syntaxes are all extremely easy to learn. They put more focus on readability. Hence, they come in handy in reducing the expenses of maintaining the program. The language also supports modules as well as packages. This encourages program modularity as well as reuse of codes. The interpreter and its extensive customary library are present in source as well as in the binary form and they are freely distributable.

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Python is designed to support multiple programming models that include object-oriented, functional, as well as imperative programming patterns. It also comes up with automatic as well as system memory management along with a comprehensive standardized library.

Python is generally used for scripting for web based apps and for facilitating these apps, a standard API has been designed with WSGI or Web Server Gateway Interface. Various web app frameworks such as Pylons, TurboGears, Tornado, Zone, Flask, and the likes, support the developers when it comes to designing or maintaining the complex applications, while IronPython and Pyjamas are used for developing the client side of the Ajax-based apps.

Like any other dynamic programming language, Python can be used for scripting though it is also possible to use it as a non-scripting language. The codescan can also be used as a standalone program, especially with the use of certain third party tools like Py2exe and Pyinstaller.

Python, technically speaking can be termed as a multi-paradigm language that is used for structured, aspect-oriented, as well as object-oriented programming. It uses dynamic typing technique along with a combination of cycle-detecting garbage collector and reference counting for the purpose of memory management. Another very significant feature of Python is its dynamic name resolution mechanism that binds method as well as the variable names when executing a particular program.

Python saw the daylight for the first time towards the end of 1980, while the implementation commenced from the month of December, 1989 and was considered as a successor to ABC programming language.

Python 2.0 was ultimately released on October 2000. This version came up with a number of fresh features that also included a full garbage collector along with Unicode support. However, the most significant feature that this particular version came up with was the development mechanism that was followed. It involved a major tilt towards a process that was more transparent as well as community-backed.

The next version, P 3.0 was released in December, 2008 and this version came up with a lot of features that have been back ported to the 2.6 and 2.7 versions.

Then came the next version, P3.0, which is also called Py3K or Python 3000, which was designed and developed for rectification of the fundamental designing loopholes that were earlier detected in the language.

The language has successfully been embedded in quite a number of products like Abaqus alongside a few 3D animation languages like Max, Cinema 4D, Houdini, Maya, etc.

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