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Posted On : 5th July, 2022 by ViitorCloud

Python is one of the most versatile programming languages and is the main coding language for majority of the web developers. It has rising demand in application development due to its vast dynamic library resource, efficient data structures and wide community support. Developed in 1989 by Guido Van Rossum, it has evolved and improved itself to succeed as a cross-platform system, being used by industry leaders such as Drop Box, Instagram and YouTube etc. Python has a diverse applicability from Machine Learning, Data Science to web development, it can be utilized for multiple purposes.

 

Let’s understand 10 python applications in the real world in detail:

  1. Web development

    Python aids in web application development through its Content Management System, a number of frameworks such as Pyramid, Flask and Django, inbuilt libraries and set of tools that bring convenience to web development. It ensures easy scalability, security and enhanced visualization. The entire process becomes faster and easier with Python, making this the most important application. It also supports varied web protocols like HTML, FTP and e-mail with quicker processing capabilities.

  2. Machine Learning and Artificial Intelligence

    Pre-existing libraries such as NumPy, Keras, Tensor Flow, Pandas and Scikit-Learn make Python the go-to programming language for implementing Machine Learning and AI, which are emerging fields currently. It provides a simple solution for undertaking complex algorithms that run ML and AI due to its stable and secure system. The various libraries can be used for complex data analysis, technical computing and even data visualization.

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  4. Game Development

    Python programming has been used to create popular games as it is equipped with helpful tools and libraries. Examples of some famous games are Battlefield 2, Civilization- IV, Disney’s Toontown and Sims 4 etc. The extensive libraries which make interactive games development possible are Pycap, Cocos2D, Panda3D and Pysoy, to name a few. A few other games which use Python are World of Tanks, Mount and Blade, Frets on fire and Eve Online.

  5. Desktop GUI

    Simple as well as intricate Desktop applications and user interfaces can be developed using Python utilizing toolkits such as Kivy, Tkinter and wxWidgets. Easily understandable syntax and modular programming enables creation of responsive and convenient user interfaces.

  6. Data Science and Data Visualization

    Python can tackle data science dynamics with ease which includes data collection, sorting, analysis and data visualization. Its in-built libraries and capability to handle complex calculations or statistics, further aid data science professionals. Data science problems can be easily resolved using libraries like TensorFlow, Pytorch and data visualization libraries such as Matplotlib, Ggplot and Plotly. Thus, one can undertake data model processing and analysis under ML and AI.

  7. Web Scraping applications

    Web Scraping is a process of extracting relevant large amounts of data from websites which can then be utilized in many ways such as research and development, price trackers etc by analysts and researchers. Libraries like BeautifulSoup, Selenium and Pythonrequest help in the same. Due to simple, concise codes and syntax of Python, it becomes easier to utilize Web Scrapers in real time. Web scrapers pull out and store all the gathered information in a single place, which can be utilized as and when needed in the future. Any field that requires large amount of data analysis can benefit from this.

  8. Audio and Visual Applications

    Python is equally competent to handle audio and video applications alike. It can also easily handle audio and video files. Basic tasks like signal processing, audio recognition and contrivance are done by tools and libraries such as Dejavu, Mingus, SciPy and Pyo. For video manipulation, one can use OpenCv, Scikit-Video and the likes. Netflix, Youtube and Spotify, the most popular applications also use Python as their programming language which increases its credibility manifold.

  9. Business Applications

    Business applications need safety, security and precision due to being a niche sector in itself. They also desire specific features and high performance capabilities which Python can provide. To cater to businesses, other than the general consumer, a number of libraries and tools are available such as Tryton and Odoo. These business softwares built using Python have integrated features such as accounting, sales and business processes till the end. Python’s scalability and information security make it a perfect fit for businesses.

  10. Software development

    Another amazing application of Python is software development, used by Google and Reddit as it is highly compatible, has reusable codes, easy readability, strong community support and even platform independence. Orbiter, Allura and Buildbot are some software development tools built with Python. Another added advantage is Python’s capability to work seamlessly with emerging technologies like Machine Learning and AI.

  11. CAD Applications

    CAD or Computer-aided design application help in creating 2D and 3D digital models, especially by architects and product designers who desire precision and consistency in their designs. Python provides PythonCAD, FreeCAD and Fandango, which are the most popular tools for recording, file export/import, technical drawing and system development. Thus, Python is an industry favorite for CAD applications.

    Other than the real world applications mentioned above, Python is also used for creating embedded applications, scientific/numeric applications, operating systems, training and educational programs. Image and text processing is also possible with Python programming. Python is a great starting point for beginners to get into coding and programming, which has a shorter learning curve. Various platforms today such as Udemy, Harvard and Python Institute provide online courses and training programs which can be extremely beneficial for learners.

 

Conclusion:

With this, we can understand the wide applicability and versatile nature of Python which has led to its rising popularity among developers and technology enthusiasts. From Machine Learning and AI to data visualization, it has encompassed all possible fields. Thus, the beauty of Python lies in its short, concise and readable codes that express immensely with only a small amount of codes which doesn’t make the reader feel that it is a cumbersome process. Thus, Python has a long growth curve in application development.