Applications of Python Programming
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 for minimizing 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 built 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, or
pong, or Disney’s Toontown Online; the PyGame library has been helpful in generating
effective 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.

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