Top 7 Practical Uses Of Python Language In Real World


Professional and aspiring developers often don't know where to begin when deciding on a career path because there are so many programming languages available today. Python was the most popular language to learn in 2020, with people choosing it over other languages. According to reports, developers were 27 percent more interested in Python last year than the year before. Python, a popular choice for data science and machine learning applications, has surpassed Java as the second most popular programming language in the Tiobe index. Let's look at what makes Python so popular, what Python is used for, Python's practical applications, and how to get started with Python. In this blog, we will talk about the uses of python language.


Why is Python so Popular?

The Python programming language has many applications, including web development, operating systems, artificial intelligence, machine learning, numerical computation, mobile applications, and game development. Python has recently become more popular due to its simple syntax and ease of use, making it relatively easy to learn even for beginners and non-programmers.

Top 7 Practical Applications of Python

Operating Systems

Because Python has a robust standard library, it can be used to build entire operating systems. Due to the object-oriented design of the language, large projects can be managed easily. Python can be used to develop native applications for Windows and Mac computers and is compatible with most operating systems.



Web and Internet Development

There are several options for complex web development projects in Python. An application's front end is usually built in HTML and JavaScript. The backend functionality of websites, such as Spotify, Reddit, and Mozilla, is handled by Python-based web frameworks such as Django, Pyramid, and Flask. Python is critical infrastructure for giant platforms like Google and YouTube.

Game Development

For game development, Python offers many tools and libraries, just as it does for web development. You would not believe that Battlefield 2 - one of the most popular shooting games of the early 2000s - was developed with Python.

PyGame, Pycap, Panda#D, Construct, PySoy, and PyOpenGL are Python's 2D and 3D game development libraries.



Scientific and Numeric Computing

Python offers a wide range of scientific and numerical computing tools and libraries that can help scientists and researchers.

  • SciPy is a set of packages that cover mathematics, science, and engineering

  • Pandas is a library used for data analysis and modeling

  • IPython is a strong interactive shell that provides hassle-free editing and recording of a work session and aid in visualizing and parallel computing.

Artificial Intelligence and Machine Learning

It's all about algorithms, code, and logic when it comes to Artificial Intelligence (AI) and Machine Learning, the hottest buzzwords of the decade. AI and machine learning solutions increasingly rely on Python and a few other programming languages.


Desktop GUI

Python is an excellent tool for developing desktop GUIs (Graphical User Interfaces). Programmers have many options available for building a functional GUI using the language. Python's comprehensive syntax and modular programming help create a highly responsive and fast GUI.



Business Applications

Python can be used to develop e-commerce and ERP systems. Consumer software typically offers a variety of features, while business applications offer a set of specific features. Also, they target a very tight-knit group of users, usually an organization.

The Python programming language is ideal for creating high-performance custom solutions for both business applications and consumer applications.



Why Use Python in Web Development?

The open-source, easy-to-learn Python programming language is used by technology giants such as Spotify, Instagram, and Google to create enterprise-level, robust, and responsive web applications.


In addition to being easy to install, ActivePython includes a comprehensive collection of extensions that allow Python developers to quickly begin using state-of-the-art Python frameworks such as Tornado, Django, and Flask.



Conclusion

Python is one of the most common languages used to develop both desktop and web applications, as we have seen in this article on Python's Uses. There are many features in Python that take care of common programming tasks. Learning and using Python is simple. Python has a reputation for being slow compared to well-known programming languages such as Java. It is possible to speed up Python applications by simply maintaining the code and using custom runtimes.


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