Top 10 uses of Python in 2022
Python is a free programming language that is pretty easy to learn and work with. It is known for its versatility, consistency and scalability. It is a high-level programming language that can be interpreted and typed dynamically which promotes easy debugging and rapid development.
This post in the following sections will highlight a few impressive applications of Python that will surely entice techies to learn the language and take their careers to the next level.
Here goes -
It is the preferred language for web development
Experts associated with a revered training institute that offers Python training in Bangalore point out that Python is the preferred programming language for web developers in India and overseas. The reason is that compared to other programming languages, Python allows a web developer to complete the creation of web apps in a short time. Python has frameworks that use common-backend logic and a myriad of libraries. The libraries and frameworks work in tandem to integrate web development protocols like –
Python is the preferred programming language in –
SSL
HTTPS
FTP, etc.
The most common Python-based web development frameworks are –
Pyramid
Django and
Flask
Game development studios prefer Python as well
Python can also be used to develop games as it comes with an inbuilt game development engine PySoy. PySoy is a 3D game engine that has been used to develop quite-popular titles like Civilization-IV, Vega Strike, Disney’s Toontown Online, etc.
Python finds extensive applications in AI and ML
The developments in Machine Learning and Artificial Intelligence sector are being carried out at a rapid pace all thanks to Python. The programming language is being used to teach computers to learn using past experiences (Machine Learning). Python is also used to create intricate algorithms that allow a computer to learn by itself (Artificial Intelligence).
According to a trainer associated with a training institute that offers Data Science course in Bangalore, Python has in-built libraries like Scikit-learn, NumPy and Pandas. These tools are ideal for AI and ML development projects.
It is also the preferred language for Data Visualization and Data Science projects
Businesses around the globe rely on data as data is considered the universal currency that helps enterprises to remain relevant and stay ahead of their rivals. Data Visualization and Data Science projects are often carried out using Python as the programming language promotes the extraction of relevant information in a short time that allows enterprise managers to take calculated risks and business-critical decisions in a bid to increase the profits of their enterprise. Python has inbuilt libraries like NumPy and Pandas that allows seamless extraction of business-critical information in no time. One can also use data libraries like Seaborn and Matplotlib which allow data scientists to create comprehensive graphs easily.
Python allows developers to design intricate and user-friendly GUIs
Python is also the preferred programming language when developers are assigned to design desktop applications. Programmers can use the in-built Tkinter library of Python when they need to design intricate yet user-friendly Graphic User Interfaces. Furthermore, Python comes with useful toolkits like PYQT, Kivy and wxWidgets that are useful to create cross-platform desktop applications.
Python and Web Scraping Application go hand in hand
Python is the preferred programming language when data analysts need to pull in and analyse large volumes of data from websites. The real-world applications of Python-based web scraping can be witnessed when data analysts take on projects like –
Job listing analysis
Price comparisons
Business-critical R&D, etc.
Python has lots of business applications
Python is also used by developers to create business applications that can be implemented in enterprise-level domains like ERP and e-commerce. Python-based business applications are readily available, easy to manage and scalable. A common example of Python-based business applications is Tryton.
It is also used to develop audio and video applications
Python is also used to develop multitasking audio and video applications that are used in personal and professional settings. The most common and popular examples of Python-based audio and video applications are CPlay and TimPlayer. These two applications are developed using the comprehensive libraries of Python and are known for their overall performance and stability when compared to other prominent media players.
Python-based CAD application development is also on the rise
CAD stands for Computer-Aided Designing and CAD app development is a complicated task. The process can be simplified using Python as the programming language since Python can pack comprehensive and complicated logic in a few lines of code. Developers can use Python to represent objects and functions in just a few lines of code. The most popular Python-based CAD application is Fandango.
Python also has a lot of embedded applications
According to a certified trainer associated with a revered training institute that offers Python course in India, Python is based on C that allows developers to create embedded C firmware for embedded IT applications. In simple terms, Python can be used to write simple firmware packing complicated logic so that the same can be run on small devices. The most popular example is the Raspberry Pi. It is a small computer that fits inside the palm of one’s hand. It runs on firmware for its onboard circuitry. The device itself is powerful enough as it can be used as a desktop computer to run high-level computations with utmost ease without using too much power to run and keep the device cool.
Learning Python is a necessity for techies if they want to stay relevant and future-proof their careers. For the best results, it is strongly advised that one enrols for the Python courses offered at leading training institutes in India like Skillslash Private Limited as they have the best trainers. The curriculum followed is on par with the latest trends followed in the global IT sector.