Python is one of the most popular programming languages in the world, and it can be used for a variety of applications.
From web development to data science and machine learning, Python offers a wide range of applications for users to explore.
In this article, we’ll take a look at some of the most interesting and useful Python application examples available.
From creating simple scripts for small tasks to building complex software, Python can be used to create anything from data analysis tools to interactive websites.
We’ll also discuss what makes Python such a great language to use, and how you can get started with developing your own Python applications.
With its versatile applications, Python is a great language to learn and explore.
8 Popular Python Applications Examples
Some most popular companies on the internet also used Python programming.
- Dropbox
- Spotify
- IBM
- Netflix
Reddit: The self-appointed front page of the internet is everybody’s favorite source of dank memes, cat videos, and tight-knit community interactions equally.
Even though it used to have quite a reputation for uptime problems.
The company’s currently on the straight and narrow, with its coffers filled with VC cash, a growing engineering team, and countless millions of users seeing it each day.
Google is indeed huge & omnipresent so it is tough to say anything about the company that was not said a million times before.
They have their hands in everything — music and video streaming, email, search, advertising, self-driving automobiles, hardware, and much more.
And so forth, essentially all YouTube is written in Python. You know, the greatest video streaming platform on earth. If that is not enough of a recommendation for you, nothing will be.
Facebook, even though it’s got some bad press because of the nosy customs and autonomous CEO, is one of the largest and most important companies in history.
With more than a billion active users, Facebook is practically synonymous with social media.
The company is enormous, and so is its own tech stack, which contains a good deal of languages and technologies.
But, based on an official blog article from Facebook, Python is in charge of a solid 21 percent of Facebook’s infrastructure’s codebase.
Dropbox
Who does not love Dropbox? The company was able to take something deceivingly easy (saving stuff online), scale it to an amazing level, create something that’s good to use,
And make tonnes of money in the procedure. Dropbox, now valued at somewhere around $8bn, uses Python for a good deal of things,
including its polished and friendly desktop client.
Spotify
Spotify, the audio streaming platform, is a contemporary mainstay. As a result of Spotify, long gone are the days of chasing down MP3s on Limewire.
Or Soulseek, searching for torrents on vague invite-only websites or listening to low-quality rips on YouTube.
They use it to the backend, analytics and much more — and, if you have ever used Spotify, you understand that the results are terrific.
Though Instagram‘s tech stack has evolved quite a lot since its humble beginnings, there would be no Instagram now without Python.
Ahead of the image-sharing company getting acquired for huge sums of cash from Facebook, it was just a fairly simple website built on Django.
Its creators boast that it is ridiculously fast, reassuringly secure, and exceedingly scalable, and there has to be something to it.
In actuality, Instagram still uses Django today. If it’s good enough for your multi-billion-dollar social networking wonder, it is probably good enough for the rest of us.
IBM
What is their connection with Python? You are able to install a Python web server on IBM Bluemix;
There is a Python SDK for Watson (IBM’s large data and AI offering); IBM even printed a free Python tutorial for autodidacts. If IBM, the greatest tech dinosaur, uses Python,?
Even though it might not really be a compliment if you consider it for some time, there is no arguing that IBM was — and in many ways, still is — a tech powerhouse.
Netflix
What Spotify did for music, Netflix did for the movie. Having started as DVD-by-mail assistance, they are now a high-tech pioneer, providing streaming video content to hundreds of millions of readers.
Among Netflix’s strengths is its strong recommendation and analytics engine, allowing the company not just to offer you suggestions, but also to predict what type of original content they ought to order.
What is the motor based on?
Google and Yahoo initially rolled out much of the functionality written in Python. Where performance was a problem (of course, the search engine celebration ) they reprogrammed it in C or C++.
However, a lot of the non-performance crucial modules now remain written in Python.
When you are testing online help on these websites or doing something social/portal thing, take a look at the URL of the page you are looking at and see where “.py ” available.
It isn’t just old performance but also new functionality that has been coded in Python.
How you can get started with developing your own Python applications?
Getting started can seem daunting, but with the right resources and guidance you can quickly become a proficient programmer.
The best way to get started is to get familiar with Python syntax and basic programming concepts.
You can find lots of great tutorials online, such as tutorials from the official Python website.
Once you have a good grasp of the basics, you can start exploring different libraries and frameworks to help you build your applications.
There are many libraries available, such as Flask and Django, which can be used to create powerful web applications.
Additionally, there are plenty of resources and tutorials available to help you along the way.
Google Contribution
Google has made its development practices/philosophy pretty transparent to the external world. They are very knowledgeable people, in general.
And their developers are invited to use a language that’s a good match for the applications they’re creating.
As you can see, Python isn’t just a means to create a quick and dirty model or a teaching language’ for novices.
Conclusion
In conclusion, Python is a powerful programming language with a wide variety of applications.
From web development and automation to data science and machine learning, Python can be used for almost anything.
With its easy-to-use syntax and wide support from the community, Python is a great choice for many programming tasks.
With a bit of creativity and some basic knowledge of Python, you can create amazing applications that can do almost anything you can imagine.
