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What makes Python so popular? 7 real case applications!

Nov 22, 2024

about 4 min read

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Python programming language is utilized in a variety of applications, including machine learning, web development, and software testing. It can also be used by both programmers and non-programmers.

It is fact that Python is one of the most widely used computer languages in the coding and data science fields. It has developed and adapted to new technology since its creation in 1991 by Guido Van Rossum. 


 

Python programming language is utilized in a variety of applications, including machine learning, web development, and software testing. It can also be used by both programmers and non-programmers. 


 

Let's look at some of the real-world applications of Python programming language that have made it popular and the language of choice for practically every coder today, especially those working in the fields of AI and data science.


 

What make Python so popular?

Python programming language is the world's third most used programming language, behind Java and C, according to the TIOBE index.


 

The following are some of Python's most notable characteristics that make it a good tool for professionals of all skill levels:

High-level language

Object-oriented language

Easy to learn

User-friendly data structures

Dynamically typed language, i.e., the data type is not required

Open source and community development

Extensive support libraries such as pandas, NumPy, etc.

Portable across different operating systems

Interactive

Presence of third-party modules

Scalable


 

Python use cases in the real world

Python is undoubtedly a popular and in-demand programming language. However, what is the purpose of python programming? We've previously touched on a few of the areas where it may be used, but there are many more.


 

1. AI and machine learning

Python is ideal for many machine learning (ML) and artificial intelligence (AI) applications since it is a robust, versatile, and easy programming language. 


 

Using Python programming language to build app are prefered to most developers because Python make developing machine learning algorithms simple and convenient. 


 

Python is the ideal tool for creating AI and ML applications also because of its simplicity, consistency, platform freedom, large library of useful tools, and active community.


 

2. Web development

Python plays a significant part and is renowned for being the preferred programming language for web development


 

This is primarily because there are several Python web development frameworks available, including Django, Pyramid, and Flask. Sites and services like Spotify, Reddit, and Mozilla were built using these frameworks. 


 

Python may be used in web development to transfer data to and from servers, process data and communicate with databases, route URLs, and maintain security. 


 

Functions like database access, content management, and data authorization are all available and conveniently accessible thanks to the rich libraries and modules that come with Python frameworks.


 

3. Game development 

Python has shown to be a big contribution to the game industry thanks to its many capabilities and add-ons. 


 

The language has been selected by game developers to facilitate the rapid construction of interactive video games. 


 

Examples of these libraries are PyGame, which provides functionality and a library for game production, and PySoy, a 3D game engine that supports Python 3. 


 

Well-known video games including Battlefield 2, Frets on Fire, World of Tanks, Disney's Toontown Online, Vega Strike, and Civilization-IV are built using the Python programming language.


 

4. Business applications

Business apps, which include areas like e-commerce, ERP, and many more, are distinct from our standard applications. They need apps that are scalable, extendable, and simple to read, and Python offers all of these advantages. 


 

Despite the fact that Python's use differs from business to business, its essential features like readability, functionality, and scalability remain constant. In addition, Python includes additional capabilities for creating commercial applications, such as:

Odoo is an all-in-one management tool that comprises a whole set of enterprise administration apps.

Another excellent tool for creating corporate apps is Tryton, a three-tier, high-level general-purpose application platform.


 

5. Education

Python is also employed extensively in the creation of online educational materials and activities. Python has a very simple grammar that's close to the English language. 


 

Today, Python is such a significant component of the programming industry that it is mandated as a basic language for students in schools and institutions. 


 

It makes learning the language simpler by providing a beginner with a standard library and a range of resources. 


 

Python has a wide range of uses in fields like gaming, data science, machine learning, deep learning, artificial intelligence, etc., so it is obvious that its significance will grow over time.


 

6. Language development 

Boo, Swift, CoffeeScript, Cobra, and OCaml are just a few of the new programming languages that were created as a result of Python's design and module architecture throughout time. 


 

These languages all have a lot in common with Python in terms of things like object model, grammar, and indentation.


 

This data also indicates that Python is a beneficial entry-level language. So, if you're brand-new to programming, being familiar with Python might make it easier for you to explore other topics.


 

Read more: Top 5 programming languages to build smart contracts


 

7. SEO

Our list of Python uses includes one more somewhat unexpected application: SEO (Search Engine Optimization). Automation would be helpful in this area frequently, and Python makes that feasible. Python can assist with categorizing keywords and applying changes across numerous pages.


 

Natural language processing (NLP), one of the newest technologies, is also probably useful to SEO professionals. Python may be a useful tool for learning these NLP techniques and for comprehending how search engines work and how users do searches.


 

Conclusion

It is reasonable to say that Python is able to handle practically every development demand after reading about all these flexible and varied real-world uses of Python.


 

The seven use cases listed above are just a small part of Python's tremendous applications. Python actually has a lot to offer companies in every sector, including web development, data research and analysis, machine learning, startups, and the financial sector, … 


 

Having an ideal project in mind and you think Python could be a great option? Let our Python specialists assist you in elevating your idea and create lasting value.

 

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