Have you ever wondered about the vast popularity of Python programming language over the past few years? This is so because of its various application areas in the real world.
Let us clarify the various applications of Python programming.
AI and Machine Learning:
Artificial intelligence allows the machine to learn things on its own with the most negligible human interaction. This is why developers choose Python to minimize their workload.
Furthermore, the availability of build-in tools and libraries such as
· Keras,
· Seaborn,
· SciPy and
· Numpy
for machine learning, data visualization, computing, and complex data analysis make Python more desirable among the programming languages.
Game Development
People’s increasing desire for 3D games is fulfilled by games built on Python. Mostly interactive games are made using Python programming language.
Even a basic level of understanding of Python can help an individual develop games in much less time. Whether it is a quiz, pong, or Disney’s Toontown Online; the PyGame library has been helpful in generating practical outputs.
Web Development
Protocol integration and processing are easier in Python libraries such as
· Flask
· Django
· Pyramid
These frameworks support HTTPS, SSL, FTP, JSON, XML, and many more protocols and file formats, providing greater scalability for programmers. Hence, the most attractive and Secure web applications can be built with Python.
GUI for Desktop
You can program simple to advance forms of Desktop applications with Python. Tkinter is the most famous Python library for this purpose. The availability of several toolkits makes the language preferable for desktop app developers.
These toolkits are:
· Kivy
· PYQT
· GKT+
· WxWidgets, etc.
Business Specific Applications
Business applications are mostly e-commerce oriented.
The easily manageable and user-friendly applications can be developed with handy Python management systems like
· Plone
· Django CMS
On the other hand, python based web applications such as Odoo and Tryton also provide efficiency in developing business applications of any kind.
Data Science
Python has a special place in the world of data science. It can become a ladder in stepping up to the data scientist carrier. Being an open-source and object-oriented programming language; it helps in mathematical functionalities and statistics.
The various platforms provided by Python for data and numeric purposes are:
· Pandas
· SciPy
· Seaborn
· Matplotlib, etc.
