Ease of Scripting

• Given its scripting application, Python is a simple language due to its use of semantics and regular syntax. For example, a statement in Python ends when the line ends, and block structure is indicated by indentation. The advantage here is that it removes the possibility of small cumbersome errors, such as the dangling semicolon or the unclosed bracket. Its simplicity extends in that it supports functions and classes, a feature of Object-Oriented Programming, but does not force the use of them. Finally, since Python is dynamic, variable declaration is practically null, further reducing the chance of errors.
  
  

Dynamic Run-Time Environment

• Python's dynamic environment prevents programmers from causing segmentation violations or faults that produce memory access errors. Its interpreter also checks for errors on the fly; thereby, reducing the risk of error through the verification of array completeness at the time of writing the code and not at the time of compiling. Given that Python is a scripting language, its ability to prevent segmentation faults makes it closer to full system programming languages, such as Java.
  
  

Open Source Scripting

• Python is one of the most common and popular open source scripting languages. As a result, there is a large knowledge base available to Python programmers and is supported by a large community of developers with varying skill levels. As such, Python has a large library of written code and tutorials. Under its open-source license, it is easy to port to other operating systems, such as Microsoft's Windows, Apple's Mac OS X and all Linux/Unix distributions.
  
  

Object-Oriented Programming

• Although Python is not a major programming language, as a scripting language it supports object-oriented programming, thereby allowing it to compete with C++ and Java. In fact, it borrows the class mechanics of C++ and simplifies them. Given that Python is typed dynamically, the abstract classes and interface mechanisms of the more prominent programming languages, C++ and Java, respectively, are obsolete in Python.
  
  

Modulation and Packaging Ability

• Python programs are reusable in that they can be disassembled and broken into components and saved as modules. This advantage is significant because it allows the creation of packages or modules for use in other programs. This saves significant amounts of time, as it allows developers to alter a module versus re-creating the wheel when creating a program with similar functionality to one that is already developed.