Python Is an interpreted language. That means that, unlike languages like C and Its variants, Python does not need to be complied before It is run. Other interpreted languages Include PHP
and Ruby.
Python |s 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 likex=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-class 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 cede 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.