• Premanand S

02 Python - Features, Disadvantage, Application

Hello, gentlemen! Excellent day to everyone; I hope everyone is in good health in this scenario; it's one of the most important things everyone needs. In general, doing the program alone won’t make us we earned skill of that particular language, we must know about their unique features and in what are all the applications this particular language is utilized apart from our current work and also the other side of Python language that is a disadvantage too, as I am using Python in machine learning domain, I cannot say python is only used for machine learning or only python language is used for machine learning, right.

Table of Content:

  1. Features of Python

  2. Disadvantage of Python

  3. Despite disadvantage, still winning horse

  4. Applications of Python

  5. Conclusion

Features of Python:

There are many reasons for python for its popularity, we will cover most of the general things here on this topic, the foremost popularity are as follows,

  1. Python is very simple to learn and understand; any beginner can quickly learn Python. When compared to languages such as Java, writing code in Python requires fewer lines of code. Even I came across C and C++ in my college days, this is the first language I learned and learned with interest.

  2. Interpreted which means, Python is carried out line by line. This facilitates testing and debugging.

  3. The language and its source code are free to the public; there is no need to purchase a costly license unlike other tools or languages used for data science, sometimes even if we go for pirated version too, it will be deactivated through the process while updated or after some time limit.

  4. Another interesting popularity is, Python is an open-source programming language that can be run on any platform, including Windows, Mac, Linux, and others. Your programs will run without the need to modify them for each machine-like platform.

  5. Python includes a large standard library. It allows you to implement a wide range of functions without having to reinvent the wheel every time. Simply select the required code or library and proceed. At the same time, there are many advantages like simple work by using libraries and also disadvantage like not using scratch coding. I planned to give some examples also in the middle of our learning process with some libraries how easy to work it out.

  6. Graphical User Interfaces (GUI) is a common user interface that includes graphical representations such as buttons and icons, and communication can be accomplished by interacting with these icons rather than the traditional text-based or command-based communication.

  7. Python is simple to extend with C/C++/Java code and simple to embed in applications.

  8. Python is so expressive because only requires a few lines of code to perform complex tasks. To display Hello World, for example, type just one line - print("Hello World"). Other programming languages, such as Java or C, would require multiple lines to execute this.

  9. Create applications, web services, exciting games, automate a repetitive task, perform complex scientific or numerical calculations, or gather insights from data? Python has you covered in every way. Hence Python is increased in productivity.

  10. Python, like all great software, is supported by great people. The user base is enthusiastic and committed to spreading the language's use far and wide.

  11. Python is a high-level programming language because programmers are not required to remember the system architecture or manage memory. This makes it extremely programmer-friendly and is one of Python's key features.

  12. When a programming language is interpreted, the source code is run line by line rather than all at once. Because programming languages such as C++ and Java are not interpreted, they must be compiled before they can be run. Python does not need to be compiled because it is processed at runtime by the interpreter.

  13. Many programming languages require the variable's type to be declared before it can be used. The type of a variable in Python can be determined during runtime. Python is thus a dynamically typed language.

I hope now we can easily understand why Python is so unique and popular than the rest of the programming languages.

Disadvantage of Python:

Now will see another side of python too, in the positive side python we have mentioned python is an interpreted language which means line by line execution, which leads to slow execution and another reason for this slowness is due to dynamically typed, as it needs to recognize during execution it takes a bit time.

  1. Python has some issues with memory consumption, suppose if you are working with memory intense applications then python may not be good choice, because of its flexibility in datatypes.

  2. One of the advantages of python is dynamically typed, and it leads to runtime error issues, due to python requiring more testing and has errors that only show up at runtime alone. There are a few features which lead to some drawbacks right.

  3. Python makes coding a program much less stressful and easier, but it falls short when it comes to interacting with databases. In comparison to other more popular technologies such as ODBC and JDBC, it has a less developed and primitive database layer. Most businesses want to have a smooth interaction with complex data, which makes Python difficult to use. Despite the fact that Python is a server-side language, it is not the best for developing mobile applications

  4. Python was largely incompatible with the development of Android and iOS applications. Fortunately, significant progress has been made to improve Python's performance in the world of mobile application development. Kivy and Beeware are Python libraries that were created to help developers create mobile applications. Kivy is a free and open-source Python library that can be used to create mobile apps and other multitouch application software for Android, iOS, GNU/Linux, OS X, and Windows. BeeWare also lets you write your mobile app in Python and distribute it across multiple platforms. These libraries are extremely beneficial. Even though, they are unable to compete with the other competing languages. Programming languages such as Java, Kotlin, Swift, Javascript, and others are dominating mobile app development.

  5. Python is a simple and easy-to-use programming language, which is also one of its disadvantages. Python users become so familiar to its simple syntax and extensive library features that they encounter difficulties when learning other programming languages. Some users believe that the Java codes are unnecessary due to their complexity. As a result, Python has a very vulnerable nature, and users begin to take everything lightly

  6. Python language is not a multithread prototype, In simple terms, the Python Global Interpreter Lock (GIL) is a mutex (or a lock) that allows only one thread to control the Python interpreter. Because only one thread can hold the GIL at a time, you are not achieving true multithreading. But To achieve true multithreading, many people use a different Python implementation, such as IronPython, Jython, PyPy, or a C extension

  7. Another disadvantage is compatibility between versions, we have major two versions like Python 2.x and python 3.x, if some libraries that are developed during python 2.x versions then it cannot be used in latest, I myself personally experienced while doing my work. This is another big disadvantage in terms of libraries

  8. Many programmers prefer Python as a scripting language for quickly developing web applications. However, Python does not include built-in web development capabilities. Furthermore, the standard Python implementation does not improve the performance of web applications across multiple browsers. As a result, Python developers must use a number of Python web frameworks in addition to web application development. They can, however, select from a number of Python full-stack web frameworks, including Django, TurboGear, web2py, Reahland, and Zope2

  9. Python lacks a number of features that other modern programming languages offer. To build web applications and mobile apps in Python, programmers must rely on a variety of third-party frameworks and tools. To avoid increasing project overheads, they must use open-source frameworks and libraries.

Despite the disadvantage, still winning horse

  1. Even though we have more disadvantages for a high level of specification aspects, still python by default is popular than most of the languages. People say slow in speed right, Can you tell the difference between 0.001 and 0.01 seconds? The most likely answer is "No." It usually doesn't matter too much to end-users if your program takes a little longer to execute. It's fine as long as we don't write a program that takes centuries to execute and completely destroys the end-user experience. If it takes too long, horizontal scaling can be used to solve many bottlenecks caused by Python and make the execution faster.

  2. The primary reason Python is so popular is that it is more productive than other programming languages such as C++ and Java. It is a much more concise and expressive language that requires far less time, effort, and lines of code to accomplish the same tasks. Python features such as one-liners and the dynamic type system enable developers to write far fewer lines of code for tasks that would require far more lines of code in other languages. Python is thus a very easy-to-learn programming language, even for beginners and newcomers. Python programs, for example, are slower than Java programs, but they also take much less time to develop because Python codes are 3 to 5 times shorter than Java codes

  3. Python has the potential to dominate data science and machine learning. However, in these areas, where large amounts of data must be processed frequently using functional programming, the drawbacks of Python, such as speed, dynamic typing, multithreading, memory consumption, and so on, will become more apparent.

Applications of Python:

And next, we will see the applications of python. Python is a language where you don’t have any limitations wrt to its application, it's not limited, Python language is a trendsetter in many fields, in the upcoming slides we will see some of the few trending applications,

  1. In today's business environment, it is critical for companies to have an online presence in order to promote their brand. In the case of businesses that interact with their customers online, well-designed web applications ensure achieving the dual benefits of achieving online presence as well as enabling customers to buy or make transactions conveniently over the Internet. Python developers are well-versed in a variety of web frameworks that can be used to create websites. Django, Pyramid, and Flask are some of the most popular Python frameworks for creating a website from scratch.

  1. GUI stands for Graphical User Interface, and it is a visual representation of communication that is presented to the user for easy interaction with the machine. It is a common user interface that includes graphical representations such as buttons and icons, and communication can be accomplished by interacting with these icons rather than the more traditional text-based or command-based communication. Python is an interactive programming language, and creating a GUI (Graphical User Interface) framework is not a difficult task. Kivy, PyQT, and Tkinter are some of the GUI frameworks available in Python.

Gaming is a type of application that is used not only for entertainment but also for serious purposes in fields such as education, business, and health care. The multidisciplinary nature of game development processes that combine sound, art, control systems, artificial intelligence (AI), and human factors distinguish software game development from traditional software development practice. Python programming is used in a variety of popular video games, including Battlefield 2 and Pirates of the Caribbean, for a variety of functionalities and add-ons. With the advancement of the gaming industry, the Python language has proven to be an excellent choice by developers for rapid prototyping of video games through the use of libraries such as Pygame, PyopenGL, Pyglet, and Panda3D many more.

Computer vision is a branch of artificial intelligence (AI) that allows computers and systems to extract meaningful information from digital images, videos, and other visual inputs — and then act or make recommendations based on that information. If artificial intelligence allows computers to think, computer vision allows them to see, observe, and comprehend.

We can create intelligent systems that can make decisions on their own with the help of Machine Learning. Through statistical analysis and pattern matching, these algorithms learn from previous instances of data. The predicted results are then provided based on the learned data.

Robotics is the intersection of science, engineering, and technology that results in machines called robots that replace (or replicate) human actions.

Assume you want to get some information from a website. Let us look at some motivational quotes by Dr. APJ Abdul Kalam ayya! What are you going to do? You can copy and paste the information from Wikipedia or another website into your own file. But what if you need to get a lot of information from a website as soon as possible? For example, how about using large amounts of data from a website to train a Machine Learning algorithm? Copying and pasting will not work in this situation! That is when you will need to use Web Scraping.

Data analysis is defined as the process of cleaning, transforming, and modeling data in order to uncover useful information for business decisions. The goal of data analysis is to extract useful information from data and make decisions based on that information.

Script automation is the process of leveraging existing scripts with automation software to deliver automation in a managed framework without the need for future custom script development and maintenance. This enables the creation of automation scripts without the use of code by utilizing sophisticated automation development to eliminate the need for writing and managing code, thereby significantly reducing development costs and timelines.

Artificial intelligence (AI) is a broad field of computer science concerned with creating intelligent machines capable of performing tasks that normally require human intelligence.

Scientific computing is the set of tools, techniques, and theories needed to solve mathematical models of problems in science and engineering on a computer. Scientific computing is now recognized as the "third pillar of science," alongside theoretical analysis and experiments for scientific discovery.

Writing computer programs that allow processes to communicate with one another across a computer network is what network programming.

Yes, Python is a secret ingredient in many operating systems, most notably Linux distributions. Python is used to code the Ubiquity Installer for Linux, as well as the Anaconda Installer for Fedora and Red Hat Enterprise. Python is typically used in conjunction with the C programming language to design and develop operating systems.


In the summary, from this article we have seen what are the unique features or advantages of python over languages, some dark sides of python (disadvantages), then lastly its versatility in domains. If you find this article to be useful, please leave your thoughts/opinions in the comments area below. Learning from your mistakes is my favorite quote; if you find something incorrect, simply highlight it; I am eager to learn from learners like you.

About me in short, I am Premanand.S, Assistant Professor Jr and a researcher in Machine Learning. Love to teach and love to learn new things in Data Science. Mail me for any doubt or mistake, er.anandprem@gmail.com, and my Linkedin https://www.linkedin.com/in/premsanand/

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