You always hear from others that Python is one of the most powerful if not the best programming language out there, but what backs up that fact?
In this article, we will go over the things that actually prove that.
About Python :
Python is an interpreted, high-level, general-purpose programming language.
High-level because of the amount of abstraction, it is very abstract and uses natural language elements, which are easier to use and understand. It makes the whole process simpler and more automated than lower-level languages.
A general-purpose programming language is designed to be used for writing software in the widest variety of application domains. A general-purpose programming language has this status because it does not include language constructs designed to be used within a specific application domain.
An interpreted language
is a type of programming language for which most of its implementations
execute instructions directly, without previously compiling a program
into machine-language instructions.
Those are exactly the things that make him the most popular programming language of today.
Diversity
As mentioned before, Python is a general-purpose language and is very diverse. There are so many uses of Python and here is a list of the most popular ones:
That is not where Python’s diversity ends, because there are so many Frameworks and Libraries that are used for the fields mentioned above.
Easy to use
The fact that it is very diverse and used by so many proves that it is very easy to use. Especially for beginners.
With a very short script, you can do very very powerful stuff.
For example by creating Analysis Tools or Money Saving Tools.
Those are just examples of very simple, yet powerful scripts, but Python can handle much more complex usages, such as Machine Learning.
Semantics are very understandable and easy to read even for a no-programmers.
Slower but still powerful
Python is not the fastest programming language when it comes to speed and performance comparing it to other programming languages.
Unless you have a really big ecosystem and network for your operation, the user won’t really care for the speed of execution.
Here is a comparison of programming languages including Python:
Speed does not matter
In this day and age, it is much easier to scale the system and upgrade on that front rather than using something that can not do the job efficiently.
Of course, Python can not cover every single field of programming and you should not strictly use Python, but If there is a choice I am using Python.