about python

 Python is simple to use, but it is a real programming language, offering much more structure and support for large programs than shell scripts or batch files can offer. On the other hand, Python also offers much more error checking than C, and, being a very-high-level language, it has high-level data types built in, such as flexible arrays and dictionaries. Because of its more general data types Python is applicable to a much larger problem domain than Awk or even Perl, yet many things are at least as easy in Python as in those languages.

Python allows you to split your program into modules that can be reused in other Python programs. It comes with a large collection of standard modules that you can use as the basis of your programs — or as examples to start learning to program in Python. Some of these modules provide things like file I/O, system calls, sockets, and even interfaces to graphical user interface toolkits like Tk.

Python is an interpreted language, which can save you considerable time during program development because no compilation and linking is necessary. The interpreter can be used interactively, which makes it easy to experiment with features of the language, to write throw-away programs, or to test functions during bottom-up program development. It is also a handy desk calculator.

Python enables programs to be written compactly and readably. Programs written in Python are typically much shorter than equivalent C, C++, or Java programs, for several reasons:

the high-level data types allow you to express complex operations in a single statement;

statement grouping is done by indentation instead of beginning and ending brackets;

no variable or argument declarations are necessary.

Python is extensible: if you know how to program in C it is easy to add a new built-in function or module to the interpreter, either to perform critical operations at maximum speed, or to link Python programs to libraries that may only be available in binary form (such as a vendor-specific graphics library). Once you are really hooked, you can link the Python interpreter into an application written in C and use it as an extension or command language for that application.

Python Features and Advantages

 Python Features and Advantages

1. Easy to Code

Python is a very high-level programming language, yet it is effortless to learn. Anyone can learn to code in Python in just a few hours or a few days. Mastering Python and all its advanced concepts, packages and modules might take some more time. However, learning the basic Python syntax is very easy, as compared to other popular languages like C, C++, and Java. 

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2. Easy to Read

Python code looks like simple English words. There is no use of semicolons or brackets, and the indentations define the code block. You can tell what the code is supposed to do simply by looking at it. 

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3. Free and Open-Source

Python is developed under an OSI-approved open source license. Hence, it is completely free to use, even for commercial purposes. It doesn't cost anything to download Python or to include it in your application. It can also be freely modified and re-distributed. Python can be downloaded from the official Python website.

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4. Robust Standard Library

Python has an extensive standard library available for anyone to use. This means that programmers don’t have to write their code for every single thing unlike other programming languages. There are libraries for image manipulation, databases, unit-testing, expressions and a lot of other functionalities. In addition to the standard library, there is also a growing collection of thousands of components, which are all available in the Python Package Index.

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5. Interpreted

When a programming language is interpreted, it means that the source code is executed line by line, and not all at once. Programming languages such as C++ or Java are not interpreted, and hence need to be compiled first to run them. There is no need to compile Python because it is processed at runtime by the interpreter. 

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6. Portable

Python is portable in the sense that the same code can be used on different machines. Suppose you write a Python code on a Mac. If you want to run it on Windows or Linux later, you don’t have to make any changes to it. As such, there is no need to write a program multiple times for several platforms.

7. Object-Oriented and Procedure-Oriented

A programming language is object-oriented if it focuses design around data and objects, rather than functions and logic. On the contrary, a programming language is procedure-oriented if it focuses more on functions (code that can be reused). One of the critical features of Python is that it supports both object-oriented and procedure-oriented programming. 

8. Extensible

A programming language is said to be extensible if it can be extended to other languages. Python code can also be written in other languages like C++, making it a highly extensible language.

9. Expressive

Python needs to use only a few lines of code to perform complex tasks. For example, to display Hello World, you simply need to type one line - print(“Hello World”). Other languages like Java or C would take up multiple lines to execute this.

10. Support for GUI

One of the key aspects of any programming language is support for GUI or Graphical User Interface. A user can easily interact with the software using a GUI. Python offers various toolkits, such as Tkinter, wxPython and JPython, which allows for GUI's easy and fast development.

11. Dynamically Typed

Many programming languages need to declare the type of the variable before runtime. With Python, the type of the variable can be decided during runtime. This makes Python a dynamically typed language.

12. High-level Language

Python is a high-level programming language because programmers don’t need to remember the system architecture, nor do they have to manage the memory. This makes it super programmer-friendly and is one of the key features of Python.

13. Simplify Complex Software Development

Python can be used to develop both desktop and web apps and complex scientific and numerical applications. Python's data analysis features help you create custom big data solutions without so much time and effort. You can also use the Python data visualization libraries and APIs to present data in a more appealing way. Several advanced software developers use Python to accomplish high-end AI and natural language processing tasks. 

14. Other Advanced Programming Features

Python contains several advanced programming features such as generators (used to create iterators with a different approach that most other languages) and list comprehensions (used to create new lists from other iterables). Python also has automatic memory management eliminating the need to manually allocate and free memory in the code.