Skip to main content

What is Python used for?

In this article you will get to know what is python used for or its applications.

Python is an ubiquitous scripting language. Of course many of us might be aware of the magical things we can do with the help of python, that is another story all the way and we will talk about this sometimes later for sure. These days python has found its way to web development, app development, scientific and numeric field, business applications, GUI designing, automation, artificial intelligence, machine learning and what not.

So without investing much of our time let’s dive further and see what python has to offer to the world. We will go step by step further into this and try our best not to miss any point, but unfortunately if we do please let us know in the comment section as there are immense possibilities pertaining to python. Let us quickly start our journey with python and see some of the applications of python.

What is Python used for

What is Python used for? – Python Applications

Software Development and Testing

Though sometimes referred as a supporting language, the python can be used for the development of rigid software as a whole. This might be surprising to some people but true, that in this era, python is being widely used in professional software development at much larger scale. Companies like Google itself are using python programming language in the development and testing of it’s product. A lot of services being provided by google are deployed with the systems written in python and to surprise the YouTube’s homepage is too written in python (isn’t this cool?). Okay let us quickly now see some of the major softwares that we come across in our daily lives which are written in python.

  • Google: The google is among one of the prominent companies which uses python in its development and design. Python is proven to be efficiently handling the traffic deployed on google and its connected apps and is very well known for computing purposes.
  • YouTube: One of the most beloved apps these days which is very much in trend for leisure times is of course YouTube and to surprise is written in python.
  • Dropbox: Starting from storing documents at first, Dropbox has spread its wings now to store literally everything and the functionality of sharing and synchronising the stuffs saved has made it even more lovable to its audience and all this is powered by python.
  • Instagram: Instagram has become the most trending application for the purpose of sharing pictures and videos for its people. Apart from sharing, several other features are being provided by this application which is all powered by python and make it even more popular.
  • Quora: The next big giant after google which is proved good in providing solutions to all the queries posted in a most realistic way is none other than Quora. And all this thing is summed up to an application with the help of python.

Apart from the applications we have discussed above there exist lot more softwares that are powered by python. Some of them to name are Reddit, Spotify, Bitbucket, SurveyMonkey and Pinterest.

Also Read: Best Way to Learn Python

Web & Internet Development

Python is a scripting language used for the development of large scale web apps because of the features provided by it and not by other languages like .NET, PHP, etc. Also python provides several frameworks like Django and Pyramid and micro-frameworks like Flask and Bottle for easing the process of web development. Apart from these, python also come equipped with advanced content management systems such as Plone and Django CMS.

Talking about the internet, python consists of several libraries beforehand pertaining to different functionalities and features. The standard libraries of python provides support for different internet protocols:

  • E-mail processing
  • JSONHTML & XML
  • FTP, IMAP, and other Internet protocols support
  • Easy-to-use socket interface

Apart from these, python comes with a bunch of other libraries that facilitate its users to perform cool works. We will talk about these other libraries later in this post when required.

Development of Desktop GUIs

Python offers a bunch of alternatives for the development of GUI such as PyQt, Tkinter, Kivy, etc. But among these Tkinter is the mostly adopted option by the developers for the development of GUIs. Also, it is seen that python hasn’t gained that much of popularity in the field of GUI development professionally (although it was proven best in a survey done in 2014).

It is proven that there are better alternatives than Tkinter and PyQt or we can say python. Let us see what professionals has to offer when it comes to GUI development. It is advised to use .NET and C# while developing GUI for windows, Swift/Objective-C and Cocoa while on Mac and C++/Qt or Java/JavaFX while designing GUI for Linux platform.

While using python for the same, the Tkinter library is the most commonly used one for accomplishing the purpose as it is proven as the fastest and easier way to go with the development of the GUI. GUI creation with the help of Tkinter is much easier.

Kivy, which is the most recent among the modules is used for the purpose of writing multi-touch applications.

Business Applications and Finance

In recent years python has marked remarkable growth in the business, e-commerce, and trading sectors. It is also quite feasible to make ERPs with the help of modules provided by python. We can see nowadays python is primarily being used for the qualitative and quantitative analysis of stocks, cryptocurrencies etc. One of the prime application of python by the use of its modules like Numpy, Pandas, scipy, etc is prediction of stock prices and cryptos in business world. Being easier to maintain and comparatively lesser code density and its ability to be easily integrated with other languages and platforms, python is being one of the firsts choices.

The trading sector is the field which requires a lot of analysis which could be deployed easily using python. The trading experts make winning strategies and forecast the market trend using python and to your knowledge this application is accomplished by using Django framework using python.

Payment gateways can also be deployed via python using Django framework.

Scientific, Numeric and Automation

This is the most prominent and heated applications of python. Python nowadays is playing a vital role in the field of science, automation, artificial intelligence and machine learning and to some extent leaving R behind (based on individual preferences). Python offers a bunch of cool modules and libraries for scientific and numeric calculations, some of them are listed below as:

Pandas: Used for analysing the dataset (bunch of data).

SciPy: Used for science, engineering and math works.

IPython: Used for easy editing and recording of work sessions.

Python has remarkable work in field of automation, AI and machine learning. These days if we talk about machine learning models or about automating a vehicle or a spaceship, from Tesla to NASA, python is everywhere.

End Notes:

We have tried to cover the most prominent uses of this scripting languages and haven’t included the most obvious python applications as they are well-known. If there is any suggestion or query, please let us know in the comments below, we will be happy to help.

The post What is Python used for? appeared first on The Crazy Programmer.



from The Crazy Programmer https://www.thecrazyprogrammer.com/2018/09/what-is-python-used-for.html
Labels:

Comments

Post a Comment

Popular posts from this blog

dotnet sdk list and dotnet sdk latest

Can someone make .NET Core better with a simple global command? Fanie Reynders did and he did it in a simple and elegant way. I'm envious, in fact, because I spec'ed this exact thing out in a meeting a few months ago but I could have just done it like he did and I would have used fewer keystrokes! Last year when .NET Core was just getting started, there was a "DNVM" helper command that you could use to simplify dealing with multiple versions of the .NET SDK on one machine. Later, rather than 'switching global SDK versions,' switching was simplified to be handled on a folder by folder basis. That meant that if you had a project in a folder with no global.json that pinned the SDK version, your project would use the latest installed version. If you liked, you could create a global.json file and pin your project's folder to a specific version. Great, but I would constantly have to google to remember the format for the global.json file, and I'd constan...
Post a Comment
Read more

15 Web Design Trends to Watch in 2018

The modern world is full of extraordinary things that influence our imagination and mood. Our soul needs a perfect atmosphere and impressive spots. To apply such things in practice, we have submitted the list of the web trends that deserve your attention. Robert frost design analysis will meet all your wishes and expectations. Image Source Web Design Trends to Watch in 2018 1. More Organic Shapes Until this year, web design, as well as mobile design, were based on the right-angled and sharp-edged shapes. However, it seems that this year will bring some significant changes in the field of web design. The recent trends will offer the absolute rounded corners. In addition, the web design of 2018 will make the real things look like the cartoonish ones. 2.   Bold Minimalism Although some of you may think that this web design trend will not attract the Internet users. Indeed, the notion of minimalism is often associated with boredom and dullness. However, in this case, bold ...
Post a Comment
Read more

R vs Python for Machine Learning

There are so many things to learn before to choose which language is good for Machine Learning. We will discuss each and everything about R as well as Python and the situation or problem in which situation we have to use which language. Let’s start Python and R are the two most Commonly used Programming Languages for Machine Learning and because of the popularity of both the languages Novice or you can say fresher are getting confused, whether they should choose R or Python language to commence their career in the Machine learning domain. Don’t worry guys through this article we will discuss R vs Python for Machine Learning. So, without exaggerating this article let’s get started. We will start it from the very Basics things or definitions. R vs Python for Machine Learning Introduction R is a programming language made by statisticians and data miners for statistical analysis and graphics supported by R foundation for statistical computing. R also provides high-quality graphics and...
1 comment
Read more