Created in 1991, the Python programming language was created as a way to automate the most boring elements of writing scripts or quickly make prototypes of applications.
In recent years, this programming language has become one of the most commonly used in the fields of software development, infrastructure management, and data analysis. It is the driving force behind the Big Data explosion.
It is an interpreted language, which does not need to be compiled in order to work. An "interpreter" program allows you to run Python code on any computer. This allows to see the results of a change in the code quickly . On the other hand, this makes this language slower than compiled languages like C.
As a high-level programming language, it allows programmers to focus on what they do rather than how they do it; thus, writing Python programs takes less time.
The Python language owes its popularity to several advantages that benefit both beginners and experts. First of all, it is easy to learn and use, making it possible to create programs quickly and with little effort. In addition, its syntax is designed to be readable and straightforward.
Another advantage of Python is its popularity. It works on all major operating systems and computing platforms. Moreover, even if it is clearly not the fastest language, it compensates for its slowness with its versatility.