Python is a high-level programming language. It has a large and comprehensive library which enables it to be used for general purposes also. It has versatile applications in business sector, stock market and also in the e-commerce side. The language emphasizes on code readability. The salient feature of this language is it can support multiple programming paradigms. It is not completely limited to object oriented programming and has a lesser usage in functional programming. It has a dynamic type system and also attributes automatic memory management. Like any other dynamic system it is used as a scripting language and also unlike other languages non-scripting programs too.
Guido van Rossum, was the first to come up with the idea of this programming language. In 1990, he has created Python which was named after Brit-com Monty Python’s Flying Circus. Ever since, it was widely developed by many volunteers from across the world. Python Software Foundation has taken up the initiative in making this product available to one and all over the net. There are many versions of Python. Python Software Foundation has provided this language in its website in C language. Similarly there are other sources which have different versions of Python written in different languages. Jython has a Java based version; Iron Python is a C# version which is used on .NET. This shows the flexibility of the language which can be run or executed on any platform or computer.
Another incarnation of Python which is written in Python itself is used for research based software. PyPy was launched in 2003, was an open source project which was modified by different volunteers to their own specifications. In this project Python programmer is used to control the behavior of Python interpreter. The latest version of Python (Python 2.7) was released in 2003.
For one to understand Python language, they should be well aware of the basic aspects. There are some predefined terms which help you in understanding the language better. The functionality of each of these terms is given below.
Shell or File – These are where the Python programs are written and saved. You can write your program in a text editor and save it as a file. But by writing it in a shell you can also opt to try coding.
Data Types – There is always data which is used in programming. To differentiate which type of data is used we consider data types. Some of the most commonly used data types are integers, strings, lists, tuples, accessing variables, dictionaries, working with variables.
Operators – Without the operators any data processing is incomplete. These operators help in executing a particular program. Operators are the signs and symbols which give direction to the computer on what to do with the data available.
Syntax – It is the most important part of any language. Without a particular protocol the program would be unreadable. Therefore for all the operators, data types and other such aspects syntax is assigned. In Python language there are two types of syntax. They are indentions and remarks.
Data structures – Functions and Classes are the two types of data structures which are used in Python language. They help in creating re-usable codes. These codes are easier to maintain and help in faster execution of the program.
Flow Control – It is the management of data processing. Maintaining the conditions like loops, forming conditions etc, all come under flow control. Some of the conditions which are a part of flow control are WHILE loops, FOR loops, IF..ELIF..ELSE loops.
Python programming language has proved to be very useful in many applications. It can be interpreted in many other languages. This has been a major advantage to this language. It used on a daily basis in various search engine operations, video sharing platforms, non-profitable organizations and also the most important of all New York Stock Exchange. Some other trivial applications of Python are
Major organizations like NASA and GOOGLE are heavily dependent on Python. Applications of Youtube and transactions of NYSE are also done by using Python.