19 Most Important Applicational Features of Python in 2023

Features of Python in 2023
Features of Python in 2023

Unfolding the Topic:

Python is a General-Purpose, high-level, and Object-Oriented as well as a procedural programming language. It is a very popular, easy-to-code, interpreted, and structured programming language.

Its application domain is very vast i.e., Web, Mobile Applications, Artificial Intelligence, Data Science, and Embedded Applications.

It is a modern programming language with the best architectural features i.e., garbage-collection, dynamically typed, platform-independent, and easier debugging.

In the article, 19 Most Important Applicational Features of Python in 2023, the introduction, historical evolution, and features of Python are discussed.

Historical Evaluation:

It was created by Guido van Rossum in the 1980s. Its name ‘Python’ was inspired by the BBC-Program “Monty Python’s Flying Circus”.


1). Free and Open Source:

It is free and open source to use and can be downloaded from its website.  Its developments fall under Open Systems Interconnection Model (OSI) – an open-source license, therefore it does not cost anything for using it with your project, etc. 

It is maintained by the Python Software Foundation. It is developing day by day with the contributions of anonymous programmers worldwide.

Code Writing Features

2). Easier Code syntax:

The secret behind the popularity of Python is its very easy, English syntax. It does not constrain any syntax-related hard rules used in C++, Java, and other languages. It is very much effortless to learn it, can take a few hours to a few days only.

3). Easier debugging:

It is easier to figure out any bug or error in Python code as all errors are listed down in the cmd output with line number and error demonstration. This makes coding easier for new / beginner programmers.

4). Dynamically Typed Language:

It is a dynamically typed language. Dynamically Typed language means it does not constrain the programmer to specify the variables while writing the code, instead, data types are specified during the run-time. This makes the work i.e., logic, etc. of a programmer easier

5). Object-Oriented Language:

Object-Oriented Programming is a paradigm of programming in which instead of datatypes, functions, etc. classes, and objects are used for all kinds of tasks to get done.

Also Read: Full Stack

Architectural Features:

6). Structured Programming:

Structured Programming languages follow different kinds of structural patterns or hierarchies in writing the code. It is a structured language that makes it code more beautiful, readable, and easy to understand for programmers.

7). Robust (Ocean of Libraries):

Python is rich with libraries to tap its special applicational features i.e., Image Processing, Machine Learning, Web Development, CAD, AI, and many more. It has a very large range of libraries and frameworks for different tasks.

This big inventory of libraries distinguishes it from other languages i.e. R, C++, Java, etc.

8). High-Level Language:

High-Level Language means it is more tilted toward human understanding and easiness compared to binary and assembly language. Programmers do not need to assign memory allocations etc. It is a high-level language therefore it does not constrain its programmers to remember the architectures i.e., 8080 / 8085 in assembly language. 

This all becomes possible because its code is firstly converted into byte code and then into a microprocessor for processing.

9). Faster:

This language is much faster than many old languages for its many architectural features. Multithreading of Python doesn’t allow concurrency, instead, it enables program portions to run on separate CPU cores simultaneously, which makes program execution faster.

10). Secure:

Due to its feature to always sanitize data, and remove important data, from external sources even while user-inputs it immediately removes sensitive data from external sources. This makes it the world's top-secure programming language.

11). Portable:

The code of this programming language runs on different machines and Operating Systems i.e., the Python code, written in Windows, can run on Mac and Linux and one does not need to write separate code.

12). Interpreted:

Unlike C++ and Java, Python has interpreted language, which means all code is executed line by line not at once. Therefore, it does not need to compile first instead processed at run-time by the interpreter.

13). GUI Supported:

It is an advanced programming language; it does have the feature of GUI – Graphic User Interface. Python is used to create and design desktop as well as Android and iOS mobile applications with the help of libraries.

14). Best For Complex Projects:

This programming language with its robust nature has the feature of scalability in complex enterprise-level projects. Big social media i.e., Instagram and Youtube use the Django framework of Python. While many other tech giants use it to bring features of machine learning, artificial intelligence, and automation into projects.

Also Read: Object-Oriented Programming

Applicational Features

15). Backend Support:

Python is also used as a web back-end scripting language foitsit nature of scalability, and complex, secure, and extensible features i.e., machine-learning and data-science apps inside. Popular web frameworks for instance Django and Flask are widely used in web development.

16). Machine Learning:

Python’s modular machine-learning library, PyBrain, provides easy-to-use algorithms for machine-learning tasks. It also supports as well as provides the best and tested environment for Machine-Learning algorithms and automation etc.

17). AI Support:

With a standard artificial intelligence library in development, intuitive syntax, control flow, and data structures, hence it becomes the best choice for AI project development. Robotics and artificial decision-making project depend verily on Python.

18). Data-Science Support:

It provides idealistic functionalities to perform mathematical, statistical, and scientific functions. Both R and Python are used for data science and analytics, but the plus point of this is that it is a multi-purpose language while R has no such usage outside Data Science and Analytics.

19). Embedded Application Support:

Its scripts control the states of embedded systems. It communicates, configures, and stores received responses of embedded systems for data analytics. Business Transactions and cart information used for e-commerce are also dealt with in Python.

C++, a hardware-level language, is used inside the project-file bridge for the communication of Python with hardware.


Therefore, it has proved that it is a very robust, advanced, and useful programming Language. ‘The 19 Top Features of Python in 2023’ is a well-researched article to highlight its abilities of it. 

The interdependency on this language is increasing day by day with the technological advancement and the multi-dimensional needs of companies or enterprises.

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