Programming Language

17 Real-Life Applications to Use the Python Language

17 Real-Life Applications to Use the Python Language
Written by Shikha Mehta

Computer programming is not just for creating websites and apps. Its usage expands to creating software, search engines, cloud servers and AI-enabled products (both virtual and physical). The python language is of the few programming languages that can be used for all of it. This is one of the main reasons why python is such a popular language.

Python has been developed over several years to serve the purpose. It was first released in 1991, serving the purpose of object-oriented programming for small and large projects. As developments took place, it became more and more flexible and easy to use.

Following are the various versions of python that have been released so far:

Python 2

It first released in the year 2000 and there were several other versions like 2.1, 2.2, 2.3 and so on released after that. The last version of python 2 was python 2.7, which released on 3rd July 2010. The latest update to this is python 2.7.18, which released recently on 20th April 2020.

Even though python 2 has been discontinued since 1st January 2020, python 2.7 is still being used widely. Thus, you may say that the oldest version of python you can use is 2.7.

Python 3

This version was first released on 3rd December 2008. Just like python 2, this too has plenty of versions and upgrades. The most recent version is python 3.7, which released on 27th June 2018. Its latest upgrade is 3.7.9, which released just on 17th August 2020. All of these are available and used widely. In fact, any new upgrades and bug fixes will be made on python 3 versions only.

Understanding the Python Language

Have you ever tried observing what a coding language looks like? Usually, any programming script is designed in a way that a human being using it can understand. It means that the codes are all in English, making it easy for you to remember the various objects, functions or statements.

Here are a few examples that’ll give you a sneak-peak into the python programming language:

Python Class

In the python language, class is an object creator. It means if you want to assign any variable or string, you use the keyword “class”. For example:

class first:

a = 2

c = first()

print (c.a)

in the above code, we first created a python class called “first”, which has a property called “a”. This class is used to create the object called “c” and print the value of “a”.

Python List

When you want to work with a lot of variables or strings on python, you create a “list” here. In order to do so, you use the third brackets [] and simply place your elements in there separated by a comma (,).

For example:

List1 = [1, a, c, 9]

List2 = [“string”, 56, [“nestedvalue”]]

The first one is a simple python list while the other is a nested list, having one list inside another.

Python If … Else Conditional Statement

Conditional statements are used in almost all programming languages, including python. The most basic one is “if … else”.

Whether you know any programming language or not, you’ll understand what the statement in the below example states:

x = 5

y = 8

if x > y:

print (“x is greater than y”)

else:

print (“y is greater than x”)

Python Sleep Function

There are plenty of functions in all coding languages, which make them convenient to use. The sleep function in python is used to delay action by a specific time limit. Here’s how you denote it:

Sleep ()

It is used with the time function.

You’ve seen websites with slides on the home page. At times, you even see text changing or adding up. That’s where you can use the function.

For example:

Import time

print (“insights”)

time.sleep (1.3)

print (“of”)

time.sleep (1.3)

print (“technology”)

Upon giving this code, the 3 words “insights”, “of” and “technology” will appear one by one on the screen in a gap of 1.3 seconds.

Python Dict Function

The word “dict” is actually short for dictionary. So, you can no figure out what this function is all about. You use it to create your own dictionary, by assigning values to certain variables. Here, you use the second brackets {} to assign values.

Here’s how it goes:

dict ()

dict1 = dict ({it: “information technology”, ai: “artificial intelligence”})

This is the most basic example of how the python dict function is used.

Web Frameworks Written in Python Programming Language

What do you mean by web frameworks? To give the most general term, I would call it a software that helps create websites and web applications. They’re meant to speed up the process of web development by helping you with functions like URL routing, managing input forms and configuring database connections.

You need a programming language to write a web framework. Once it is built, it makes your work of creating a website or application easier. The same programming language is also needed to use the framework. Following are the frameworks based on python:

Django

This is one of the highest-level server-side python frameworks you can use. It is free to use and guarantees 3 things:

  • Speed
  • Security
  • Flexibility

It has got several versions to it, the recent one being Django 3.1. All the popular apps and websites that you’re using, like Instagram, Spotify, YouTube, Dropbox and Mozilla have been made using Django.

Tkinter – A Python GUI Toolkit

GUI stands for graphical user interface. So, to define a GUI toolkit or framework, it is a collection of libraries or resources that help in constructing graphical UI programs. Tkinter is one of the most popular GUI toolkits of python, helping in creating complex layouts – mostly buttons and widgets.

Scrapy

This is also an open-source web framework. It is called scrapy because it was designed for web scraping (data extraction). It is fast, powerful can be extended easily. Since it is a web-crawling framework, it is used by websites to extract user data, mostly e-commerce sites and search engines.

Websites like Parsely, Flax, ScraperWiki, CareerBuilder, Lionseek and Zopper have been using scrapy for extracting data on user behavior.

Pytest

The name “Pytest” itself defines what it is and what it does – python-testing. Basically, it is a testing framework, designed only to check the efficiency and speed of automation testing. Pytest makes writing of tests simpler for you.

It is used by tech-based companies like Sendcloud, Reef and BestDoctor. They test the coding’s effectiveness before publishing any software or application.

Python Libraries

While a physical library has all possible books to read or study, a library in the world of programming has all the resources that any computer program would need. These resources include documentation, codes, classes, data and templates.

So, a python library is a collection of codes needed for python programming. Following are some of the popularly used python libraries:

OpenCV

OpenCV stands for Open Source Computer Vision, an open-source machine learning software library. It has 2500+ optimized computer vision and machine learning algorithms and 47,000+ users. Companies like Google, Microsoft, Sony, IBM, Honda and Toyota have been using it to identify faces, objects, actions, images and lots more.

Matplotlib

The purpose of this library is to create visualizations using python. These may be static, animated or even interactive. It has several add-on toolkits and third-party packages to extend its functionality. Companies like Samsung, Apple and PayPal have currently been using matplotlib for their applications.

Scikit Learn

This too is an open-source machine learning python library. It has algorithms for classification, regression, clustering, dimensionality reduction, model selection and preprocessing. Companies like Spotify, JP Morgan, Evernote and OKCupid have been using it for improving the functionality of their sites and apps.

Python Requests

This is an HTTP library, designed to make HTTP “requests” simpler. This has been written entirely in python and under the license of Apache2. It allows you to add content like headers, multipart files and form data using simple python libraries and also access response data.

SciPy

You can probably figure out by the name, that “sci” is for science. This open-source library is meant for scientific computing. It has several numerical algorithms and domain-specific toolboxes. Companies like Apple, JP Morgan and PayPal have been using it for optimization, statistics and signal & image processing.

Python Pandas

The purpose of creating pandas is data analysis and manipulation. It has several tools for reading, writing, aligning, reshaping, merging and joining data. Companies like Tesla Motors, Apple and Trivago have been using pandas for their data analysis.

Beautiful soup

This python library is also meant to extract data – mainly HTML and XML files. You may call it a combination of scrapy and pandas – an HTML parser and a web scraper. Companies like Aaho, Link Box and Media Box – Iv use this library.

Environments for Programming the Python Language

To write any program, you need a software or environment that supports these codes. To learn or operate with python, you need a platform to write the codes. These 3 are the most popular:

PyCharm – The Best Python IDE

IDE stands for integrated development environment, a software on which you can write computer programs. PyCharm has been developed specially for programming python. It is considered to be the best python IDE for providing assistance with coding, error highlighting and unit testing. It also supports all python frameworks like Django and flask.

Ipython – A Command Shell for Python Language

This is an interactive command line interface for programming, developed originally for python language. It has a notebook interface that supports text, mathematical expressions, codes, inline plots, interactive data visualization, GUI toolkits and parallel computing.

Online Python Co

The “co” is short for compiler. If you’re a beginner, then you don’t have to download any IDE. You can practice writing python online. Yes, that’s what an online python compiler is – you can run any python script online now. It’s great when you’re practicing temporarily on another machine too.

Other Applications Made to Use Python Language

If you really want to do programming using the python language, or use any of the libraries and frameworks, then you need access to some distributors and environments. Take a look at some of these computer programs without which using python would probably be difficult.

Anaconda Python – Open-Source Distribution of Python Language

You may say, that Anaconda is the biggest open-source distribution platform of python programming language and its libraries. It comes with 250+ pre-installed packages and 7,500+ additional ones. All the above-mentioned libraries like Scikit Learn, OpenCV python, pandas, matplotlib and many more are included here. It’s the reason why it has more than 20 million users.

PyPI – The 3rd Party Software Repository for Python Language

The word PyPI stands for Python Package Index, a 3rd party repository software or central storage location for python programming language. It means that if you want to install any software that has been developed by the python community, you can get its access through PyPI.

SQLAlchemy – An Open Source Toolkit for Python

This is actually an SQL toolkit for python, hence named SQL-Alchemy. Alchemy means converting anything ordinary into something extraordinary. The SQLAlchemy automates the transfer of data in SQL into objects for python programming. It means, that you can convert data in a relational database table of SQL into a python object.

Ready to Learn Python Programming Language?

So, we do see now how python language is used so extensively all over the world. Ever since it has been developed, there are plenty of virtual products that have been supporting its usage. Thanks to online education, you can now also learn python online. You can check out some of the best programming courses online here.

About the author

Shikha Mehta

I discovered my talent in writing while I was in high school. Since then, I discovered the joy of sharing your knowledge with people around you. This is the reason why I love making my contributions to Insights of Technology. Being a certified content writer, I have been writing on several topics, science & technology being one of my favorites.

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