5 Fascinating Python Real-World Applications

Python is one of the simplest language that is adopted and used by a lot of software developers. Before choosing any language one should know its real-time applications. So, knowing the areas of development where a python programming language can play a crucial role is important for you.

So, let's see some of the top applications of Python-

1- Web development

Python plays a crucial role in web development. Many of the big IT giants used Python for web development and it is pretty easy to develop a website or web-apps with python as there is a lot of framework for it. Some of them are- Django, Flask, Pyramid, Bottle, and even advanced content management systems like Plone and Django CMS.

Python web frameworks are popular because of their flexibility, scalability, and security. Python web frameworks are combined with standard libraries and modules which makes a lot of tasks like database interaction, content management, and interfacing with internet protocols like HTTP, XML, SMTP, JSON, IMAP, FTP, and POP simple and easy.

2- Game Development

Python has a lot of useful libraries that come in handy for the development of game applications. Some of the useful libraries like PySoy (a 3D game engine that supports Python 3) and PyGame are two famous Python libraries used widely for game development. Many of the game applications like Civilization-IV, Battlefield 2, Vega Strike, Frets on Fire, Disney’s Toontown Online, and World of Tanks are developed by using Python language. If you want to develop your own game applications then you should first required to learn Python language. You can learn Python from Online Python Course.

3- Scientific and Numeric Applications

As python has a lot of powerful libraries due to which Python has become a crucial tool in scientific and numeric computing. In fact, Python provides the skeleton for applications that deal with computation and scientific data processing. Abaqus (finite element method software) and FreeCAD (3D modelling software) are some applications that are developed in Python language.

The most useful Python libraries for scientific and numeric computation are-

Pandas (Data Analytics Library)

SciPy (Scientific Numeric Library)

Natural Language Toolkit (Text and Mathematical Analysis)

IPython (Command Shell)

Numeric Python (Fundamental Numeric Package)

4- Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning are fields that require a language that is secure, flexible, stable, and is equipped with a lot of powerful tools that can handle the various unique requirements of projects. Python is one of the best languages for these projects as it has all these qualities.

Python is simple, platform-independent, consistent, and secure with a collection of powerful libraries and active communities make it the perfect language for building AI and ML software.

Let's see some of the top packages used in AI and ML are-

1- Seaborn for data visualization

2- SciPy for advanced computing

3- Pandas for general-purpose data analysis

4- Keras, TensorFlow, and Scikit-learn for ML

5- NumPy for scientific computing and data analysis

6- Accord.NET, NLTK, Caffee, PyTorch, and many more

5- Operating Systems

Python is the secret factor behind developing many operating systems, such as Linux distributions. Linux-based Ubuntu’s Ubiquity Installer, Fedora, and Red Hat Enterprise’s Anaconda Installer are coded in Python. Gentoo Linux leverages Python Portage (package management system) is developed in Python. Normally, Python language is integrated with the C programming language to design and develop many operating systems.

Conclusion-

Python is one of the most adaptable languages available in the programming world. There are many development fields where development is quite easy in Python than in any other language. There are many MNCs who like to hire python developers who have hands-on experience in developing and managing complex python applications. If you like to start your IT career with Python then you take the right step. Now it's time to join the best Online Python Training that will give you practical knowledge by developing real-world projects.