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  • Python is an Interpreted language. That means that, unlike languages like C and its variants, Python does not need to be compiled before it is run. Other interpreted languages include PHP and Ruby. 
     
  • Python is dynamically typed, this means that you don't need to state the types of variables when you declare them or anything like that. You can do things like x=111 and then x="I 'm a string" without error 
     
  • Python is well suited to object orientated programming in that it allows the definition of classes along with composition and inheritance. Python does not have access specifiers (like C++'s public, private). 
     
  • In Python, functions are first-dass objects. This means that they can be assigned to variables, returned from other functions and passed into functions. Classes are also first class objects 
     
  • Writing Python code is quick but running it is often slower than compiled languages. Fortunately, Python allows the inclusion of C based extensions so bottlenecks can be optimized away and often are. The Numpy package is a good example of this, it's really quite quick because a lot of the number crunching it does isn't actually done by Python 
     
  • Python finds use in many spheres - web applications, automation, scientific modeling, big data applications and many more. It's also often used as "glue" code to get other languages and components to play nice. 

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