Key features that make Python a popular programming language
Most coders agree that Python is very powerful, and yet it is one of the easiest to learn programming languages. Want proof? Here's the source code that is needed to display a simple "Hello, World!" message in C++:
#include
using namespace std;
int main()
{
cout << "Hello, World!";
return 0;
}
And here's how easy it is to achieve the same thing using the Python programming language:
print("Hello, World!")
It is not a surprise that Python is one of the most popular web programming languages in the world, and its popularity has been constantly growing for more than 20 years now. Not only that, but its flexibility allows programmers to create applications that can be used in pretty much any industry.
Python is a high-level language, so it is really easy to learn and use. You won't have to learn lower level language specifics, allocate memory blocks, and so on. This programming language allows developers to concentrate their efforts on the task at hand, rather than worrying about CPU stacks, registers, and so on. This way, even small teams of developers can easily create complex projects, which don't cost a lot of money.
Python includes a huge number of very useful libraries. And if the library that you are interested in hasn't been built yet, Python forum users will gladly offer their help. Here are a few examples of active Python websites where you should be able to get advice whenever you need it:
https://stackoverflow.com/tags/python
https://www.reddit.com/r/learnpython/
Python applications can run on multiple operating systems and devices. This programming language supports object-oriented programming, was built with web programming in mind, and can easily run on underpowered computers, such as Raspberry Pi.
We can't end this article without also mentioning some of Python's shortcomings, though.
First, since it is a high-level programming language, the applications created with it run slower than the ones that have been built using lower-level languages, such as C++. This shouldn't be a problem for most users, though, because modern computers include fast CPUs. Still, this is something to keep in mind, especially if you are interested in building an app where data processing speed is essential, for example a 3D game.
Then, Python doesn't provide native support for mobile apps yet. While it is possible to create applications that run on smartphones, for example, some of the mobile user interface elements need to be improved.
Finally, Python doesn't work efficiently with multi-core CPUs, and this is a pity. Still, this problem will be probably fixed in a future version of the framework.
As a conclusion, Python applications are easy to build, use, maintain and improve. Python is also the perfect programming language for companies who are interested in testing a prototype/idea quickly, and for all the applications that don't require huge data processing speeds.
