Python Applications List - 7 Types that can be Developed

To the question ‘What can be developed using Python, the answer would be ‘various types of applications’. This is because of several reasons, the primary one being the availability of numerous libraries for different functions and applications. Other capabilities such as easy-to-learn feature, built-in data structures, dynamic typing and interpreting facility, easy error debugging, popular frameworks (Django, Flask, Pyramid, etc.) and wide community support facilitate rapid design and development of applications.

Python applications can be coded in modular form, making the code reusable. It also supports linking across different platforms which makes it the most suitable language for mobile app development. It is no surprise that it has turned to be a handy language that both newbie developers and the seasoned masters use to quickly fashion what their minds can conceive. 

List of Python applications

1: Entertainment Applications

Audio and video files rule the Internet today. As a result, there is increased demand for audio and video apps among users. With the availability of libraries such as PYDUB and openCV, developing audio and video apps have become much easier. Entertainment apps that are popular today such as Spotify and Netflix have been developed using Python.  Spotify uses the async frameworks of Python that help to control IO-bound services efficiently. Developers at Netflix are known to reach out and tap into the numerous third-party python libraries to solve any problem that crops up. 

2: Console Applications

Command-line applications find Python suitable to develop applications that do not have a GUI and are used as plain text. Most of these apps run when commands are typed against the prompt. The REPL (Read Evaluate Print Loop) feature of Python makes it easy for the developers to identify possibilities currently not available. These favor businesses without the need for user interaction. 

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The CLI framework helps develop command line applications using Python. Developers find it easy to add command line parsing, functional testing, etc., easily using CLI. Mercurial is a command line application which equates to a distributed version control system. Sending out email and progress bars, colorized outputs, etc., can be added using the numerous CLI frameworks. 

3: Development of Gaming Apps

A large number of gaming apps use Python as the development language. Python is additionally used to build the game designing tools which aid the development processes such as the design of different levels in the game and dialog trees. PyGame and PySoy (a 3D game engine) are used for their libraries and functionalities. Pirates of the Caribbean and Toontown Online,  BattleField 2, etc., are games that have been developed using Python.

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Python can also be used in cases where the flexibility of an existing game needs to be increased. This is done using a scripting engine. Pygame is popularly used for building many of the basic games and their 3D versions. 

4: Machine Learning Applications

Machine learning seems to the most popular item that is ticked off in the Python applications list. Machine learning refers to AI apps and aids the technology that helps systems to learn automatically and improve their performance without explicit programming. Specifically, they mean the creation of programs that can access data and use this data to learn and improve. 

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Python, with a simpler syntax than C++ or Java, is preferred for building machine learning applications. Its capacity for handling large amounts of data is commendable. Moreover, Scipy and Numpy, are libraries used for scientific and technical computing. ‘Pandas’, a data manipulation tool, when used along with Python, helps in data analysis. Pandas and Scikit, which are used for building and used machine learning apps are freely available and are, therefore, very popular. 

5: Blockchain Development and Python Real World Applications

Blockchain applications have not ceased to amaze us since their advent. However, building these apps is not an easy nut to crack. With Python, things have gotten easy.  Use of Python frameworks such as Flask helps developers interact with their blockchains and is particularly useful when developers use it to address IOT issues.  Blockchain technology is being extensively employed in healthcare, supply chain (read more here), cryptocurrency, and insurance, among others. 

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Python offers the capability of being able to perform more than one function with a single command. Moreover, Python facilitates the development of decentralized networks by allowing scripts to run on different machines. With Python, a simple blockchain can be set up using less than 50 lines of code, it is that simple.  For information related to blockchain application development, check out this page.

6: Web Applications

The growth of web applications in terms of the number of websites and implementation capabilities is mind-boggling. Python is a good tool that can be used for web development. It is generally used for building server-side web applications because it offers dynamic website creation possibilities. Using full-stack frameworks such as Django and TurboGears allow for rapid development of scalable web applications. The frameworks serve to integrate the SSL and HTTP protocols or process XML, and e-mail with ease. The convenience and security offered by these frameworks are unparalleled. 

7: Ecommerce Applications

The Covid-19 times have driven home the growing importance of eCommerce applications. Python is, without a doubt, the best language choice for eCommerce web development. Python with the Django framework may just be the perfect fit to build a full-scale online store. The combination works especially well for startups that have to be put in place within tight deadlines. The inherent security features offered by Django is yet another reason. The libraries and add-ons available can handle hundreds of visitors at a time.

The ease of learning the language and its sheer versatility only adds to the length of the Python applications list with passing time.

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