6 Fascinating Python Applications in Real-World

TOP 6 PYTHON REAL-WORLD APPLICATIONS

Python – Special or Ordinary programming language. Today, you hear about it almost everywhere! I literally mean everywhere! Even the people who do not belong to the tech world or have a programming history, have at least heard this term for once. In both the coding and data science communities, it is a well-established fact that Python is one of the most common programming languages.  

Source: Google Trends

But the question that we need to ask ourselves here is, why? What is the secret behind the worldwide popularity and fame of Python? Why almost every student is recommended to learn python? Why is it included in today’s education syllabus system? 

In this article, we’ll help you get through these questions and tell you about 6 Fascinating Python Applications in Real-World. Whatever your growth and the need for Data Science, you name it, Python will take care of it. Python is used as a glue language to bind other components together for fast application creation as well as for scripting. It was developed and first published on February 20, 1991, by Guido van Rossum.

Although you may know the python as a big snake, an old BBC television comedy sketch series called Monty Python's Flying Circus comes from the name of the Python programming language.

The fact that it is simply the work of one person is one of the great features of Python. New programming languages are typically produced and published by large corporations employing a lot of experts, and it is very difficult to name any of the people involved in the project due to copyright laws. An exception is Python. Of course, van Rossum himself did not create and grow all the Python elements. The speed at which Python has spread across the world is a consequence of the ongoing work of thousands of programmers, testers, users (many of them are not IT specialists) and enthusiasts, but it must be said that the very first idea (the seed from which Python sprouted) came to one head, Guido's.

 

But what makes Python stand out, beyond its inherent simplicity and flexibility, is its wide variety of libraries and packages that can cater to a wide range of development requirements as well as data science requirements. 

Before we move ahead with various applications of python in real-world, let us look at some of the core features of this amazing language.

 

1. Simplicity- You can learn the nitty-gritty of Python coding in a few days with a syntax that is close to English. In addition, Python is dynamically typed, which makes indentation compulsory, thereby improving its readability factor. 

2. It is an open-source language to install and use Python, you don't have to pay fees-it is open-source. This implies that Python's source code is freely accessible to the public. 

3. Since Python is a high-level language, you don't need to remember its system architecture because you don't need to perform memory management. 

4. It is interpreted- Python is an interpreted language, unlike compiled languages like C++ and Java where you have to compile the code and then run it. This makes it easier to debug code from Python because it can be done when you write the code. 

5. It can model real-world data and concentrate on the features of the software at the same time. It is both object-oriented and functional. 

We have discussed enough its crucial features, let’s talk about its Real-world applications now! 

1. Application Development 

Python should be your go-to tool when it comes to web development. About why? 

That's because Python provides various web development options. For example, for developing web frameworks and even advanced content management systems such as Plone and Django CMS, you have Django, Pyramid, Flask, and Bottle. Such web frameworks are packed with standard libraries and modules that simplify tasks such as content management, interaction with databases and interfacing with internet protocols such as HTTP, SMTP, XML, JSON, FTP, IMAP, and POP. 

2. Machine Learning and Artificial Intelligence 

Models and projects of AI and ML very intrinsically from conventional software models. The tools and technologies used and the skills needed are entirely different from those used in the production of traditional software projects when we talk about AI / ML projects. AI/ML applications need a language that is stable, reliable, scalable and equipped with instruments that can handle these projects' different specific requirements. Python has all these attributes, and it has thus become one of the Data Science professionals' most preferred languages. 

The simplicity, stability, independence of the framework, great set of resourceful libraries, and an active community make Python the perfect tool for developing applications for AI and ML. 

3. Game Development 

Python comes loaded with several useful extensions (libraries) that are useful for creating interactive games, as we described earlier. Libraries such as PySoy (a 3D game engine that supports Python 3) and PyGame, for example, are two libraries based on Python that are commonly used for game development. Python is the basis of common games such as Battlefield 2, Frets on Fire, World of Tanks, Toontown Online for Disney, Vega Strike, and Civilization-IV. 

In addition to game design, game designers can also use Python to create tools to simplify specific activities, such as the development of level design or dialogue tree, and also use these tools to export certain tasks to formats that can be used by the main game engine. Python, too, is used by many game engines as a scripting language. 

4. Software Development 

The aim of Python packages and applications is to simplify the software development process. Python can do it all, from designing complex applications involving scientific and numerical computation to designing desktop and web applications. This is why Python is used by software developers as a support language for building control, testing, and management. 

For example, SCons is specifically built for build control, enabling automated continuous compilation and testing for Buildbot and Apache Gump, and Roundup and Trac are great for bug tracking and project management. 

Python also facilitates the analysis and visualisation of data, thus further simplifying the process of developing custom solutions minus additional effort and investment in time. 

5. Programs for education and training courses 

If there is any programming language that is beginner-friendly, it is Python. Python has an incredibly simple syntax that is similar to the English language, and we have said that several times before, and we are repeating that. It has a fast learning curve, so it is a perfect choice for beginners. The simple learning curve and simplicity of Python are the two key reasons why it is one of the most used programming languages, both at beginner and advanced levels, in educational programmes. 

Python, however, is not only great as introductory language-even experienced developers and coders rely heavily on Python all over the world. 

6. Applications for Image Processing and Graphic Design

My favourite is the sixth one. Python also finds a specific use case in image processing and graphic design applications, in addition to all the uses listed above. In order to design and create 2D imaging applications like Inkscape, GIMP, Paint Shop Pro, and Scribus, the programming language is used globally. In many 3D animations kits, such as Blender, Houdini, 3ds Max, Maya, Cinema 4D, and Lightwave, Python is also included, to name a few. 

In a number of programmes, we use Python. Python is satisfying no matter what area you take up. So, we hope you've understood the Python applications and what separates Python from all other languages of programming. 

Now that you understand Python Software, check out Saar Technosoft Pvt. Ltd. Python Programming Certification, a reputable online learning organisation with a network distributed around the world with more than thousands with happy learners. 

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