Python is an open source high-level object-oriented (OO) language that has dynamic semantics. The high-level data structures with dynamic binding and typing mean that Python is a perfect RAD (rapid application development) language for scripting or to bind existing components.
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Python is an easy language to learn and apply, and it supports modules and packages that empowers modular structures with code reuse. Python comes with an interpreter and an extensive library that comes in either binary or source form.
Python is similar to PERL but became slightly more popular due to its readability and clear syntax. It is also highly portable and works in UNIX, Mac OS, MS-DOS, OS/2, and some versions of MS Windows.
The name Python came from Monty Pythons Flying Circus, a British Comedy series from the 1970s and was created by the Dutch programmer Guido Van Rossum.
Python is a free language and has an extensive online community of enthusiast, developers and support groups.
Identifying Source Statements
Python makes reading the code easier through identifying the source statements; it uses a ready-made class that provides dynamic data types which interface to a plethora of libraries and system calls. Python is extendable through C and C++.
Python is used with Microsoft's Active Server Page (ASP) technology.
Python is a readable and maintainable code used for writing apps and allows you to simplify the maintenance and update features. This means you can express concepts without adding more code, and lets you use English language keywords instead of programming syntax punctuations. This means you can write up custom apps without writing up more code.
Python supports multiple programming paradigms including OO and structured programming. It provides you with a dynamic type as well as an automatic memory management structure, and the language makes it easier to develop larger and more complex applications.
Python is compatible with all platforms and systems, and since it is an interpreted language, you don’t need a specific compiler for each platform. You can use the same code on different platforms, and this reduces development time.
The Python libraries are extensive, and you get the ability to integrate a load of different library components as well as edit them for specific purposes. Since it is open source, you get a constantly growing library with extensive functionality allowing you immediate access to codes that save you time in application development. There is also a load of Python web frameworks such as Django, Pyramid, Bottle, Flask and Cherrypy. Other frameworks include the desktop GUI application development accelerators such as PyQT, PyJs, Kivy, PyGUI, PyGTK and WxPython.
Python is a versatile language that is used to develop both desktop and web applications and is also an exceptional tool for creating complex mathematical algorithm structures. The Python language provides focus on data analysis and visualization and is commonly used in combination with its extensive data visualization libraries for AI development.
With all these amazing benefits, there is a downside to Python, in fact, every language has its downside, and Pythons is slower than C++ applications and it is lacking in certain built-in features, which makes it mandatory to used Python libraries, modules, and frameworks to speed up custom software development.