Python is a remarkably powerful dynamic and very expressive programming language that is used in a wide variety of application domains. Python is often compared to Tcl, Perl, Ruby, Scheme or Java. that lets you work more quickly and integrate your systems more effectively. You can learn to use Python and see almost immediate gains in productivity and lower maintenance costs.

Some of its key distinguishing features include:

very clear, readable syntax
strong introspection capabilities
intuitive object orientation
natural expression of procedural code
full modularity, supporting hierarchical packages
exception-based error handling
very high level dynamic data types
extensive standard libraries and third party modules for virtually every task
extensions and modules easily written in C, C++ (or Java for Jython, or .NET languages for IronPython)
embeddable within applications as a scripting interface

Python is Strongly Typed:

A strongly-typed programming language is one in which each type of data (such as integer, character, hexadecimal, packed decimal, and so forth) is predefined as part of the programming language and all constants or variables defined for a given program must be described with one of the data types. Certain operations may be allowable only with certain data types. The language compiler enforces the data typing and use compliance. An advantage of strong data typing is that it imposes a rigorous set of rules on a programmer and thus guarantees a certain consistency of results

Python is Dynamic Language:

Dynamic programming language is a term used broadly in computer science to describe a class of high-level programming languages that, at runtime, execute many common behaviors that other languages might perform during compilation. These behaviors could include extension of the program, by adding new code, by extending objects and definitions, or by modifying the type system, all during program execution. These behaviors can be emulated in nearly any language of sufficient complexity, but dynamic languages provide direct tools to make use of them.

Demo of Python:

To view Python rules and regulation

The Read -Eval-Print-Loop or REPL

To Exit from Python

Significantly 4 white spaces are needed for python programming

To get to know about specific python modules, we could use below help command

To get to know about specific python functions in modules, we could use below help command

Press Q to return to REPL

We can create alias for particular function of module as below

INTEGER Operation

Floating Point Operations

Strings and Collections

String in the python is sequence type and collection type

BYTES Data type is used in python for below purpose

Modularity

Creating, Running and Importing a module

First type some python code in text file(words.py) and store it under "pyfund" directory under your home directory with *.py extension.