You may have learned that Python is gaining traction, but did you know that it is also U.S. universities’ most common introductory teaching language? And according to an IEEE poll, it’s the fourth most common language, leaving behind old classics Java, C, and C++. For quite some period now, Python has been around and is used in almost every field of endeavor. This simplicity makes Python an excellent language for teaching, and it lets beginners quickly pick it up. As a consequence, Python experts spend more time worrying about the topic they are attempting to address and less time worrying about the nuances of language or deciphering code left by others.
Learning of the Blog
- Popular Apps That Have Been Developed With Python
- What’s So Good About Python?
- How Powerful is Python as a Programming Language?
So let’s dig into what’s so powerful about Python.
Popular Apps That Have Been Developed With Python
Python has undoubtedly been one of the most common languages over its 30 years of existence. It became so famous because it enables devs to focus on their apps rather than reinventing the wheel. Or fix it, for that matter. Python has an unbelievable spike if you take into account the number of questions asked in StackOverflow.
Let’s see some apps written in Python to provide you an idea of what makes Python such a powerful language. The top 3 are:
The app that totally changed the modern photography world, as you know, was Instagram. It made it instantaneous, even more usable, and popular. It currently has higher than 400 million users a day who are involved. This clearly negates the idea that Python-built apps are not scalable.
Interestingly enough, behind Facebook and Twitter, Pinterest ranks third. It’s basically a social network that helps people to bookmark, capture, and exchange photos with others.
Pinterest is one of the most used web applications, focusing solely on Python and Django to deal with the vast volume of content efficiently. Currently, from the very first day of its publication, this site has been using Python.
Currently, Spotify is the leading music service, with total sales of over $4 billion.
This makes it one of the most influential industry leaders and one of the top Python users, among them all at the same time. Because of the pace of growth, the firm agreed that Python was the right choice. And it also provides sophisticated analytics of knowledge, so that helped too. This enables Spotify to monitor different features, such as Radio and Explore, which are focused entirely on users’ personal music preference.
What’s So Good About Python?
In essence, Python is a general-purpose language that suggests that you can construct almost everything with it. Professionally speaking, for backend web creation, data processing, AI, and scientific computation, Python is fantastic. A lot of devs have also adopted Python for building:
- Apps for Desktop
- Productivity tools
What’s unique about Python is undoubtedly the friendliness of its newcomers. Originally, Python was built to be easy to understand and enjoyable.
Being a programming language of a high standard, Python reads just like English. This takes away from the newbies a lot of syntax-learning tension. Python even takes care of you with a lot of complexity, so you don’t have to think about it. All you have to do is focus on understanding the fundamentals of programming and not have to think about all the specifics.
It’s very versatile as well. Python is considered to be very versatile as a dynamically typed language. This means there are no strict guidelines about how features should be designed. And this gives you a great deal of versatility to tackle challenges with all the techniques you choose.
In comparison, Python is really tolerant of faults. You will also be able to compile a problem and run it before you enter the problem component.
How Powerful is Python as a Programming Language?
Python is no different from other general-purpose programming languages in terms of its computational constraints, i.e., it is similar to the computational paradigm of the Turing machine. In languages such as C#, C++, C, Java, etc., you can write anything that you can.
Let’s not beat around the bush in terms of code execution quality. Python has been sluggish. It’s an encoded language that is dynamically typed. A lot of overhead is introduced by interpreters. Code optimization is hindered by complex typing. If you apply the algorithm, e.g., The development of C++ and Python would still be considerably quicker.
Python’s C / C++ written library code can be loaded and executed, and the wrapping process is very simple. There is no language in which it can be done so quickly and explicitly, like C #. So, if you want to need the efficiency level of C / C++ for your core algorithm, you can achieve that from Python very well.
And, of course, there’s multithreading. As its interpreter utilizes a global lock for thread synchronization, Python is not very good at it. So the threads just run pseudo-parallel to a single Processor core, with the exception of I / O operations. It’s kind of understandable since it’s very hard to incorporate MT in an interpreter that the interpreter itself will have to be thread-safe, able at any moment to switch meaning safely.
There is the idea of coroutines that can mimic MT slightly, together with event loop engines written in C/C++ that can run multi-thread coroutines. For example, for server systems, this can support, but it’s not a real, preemptive MT.
For programming in general, Python is genuinely a perfect alternative and useful to know one way or another. You are definitely going to have to know at least two or three programming languages if you want to work in the field. There are hundreds of Python Crash courses available; find the best certification for Python online, and get yourself a Python programming certification today!