Python is well-known, even among folks who aren’t familiar with computer programming. Over the past three decades, Python has evolved from a small side project named after a British surreal comedy company to one of the most popular programming languages in the world. Over 68% of software developers who have worked significantly with Python have stated an interest in continuing to develop in Python, according to the 2021 Stack Overflow Developer Survey. The same survey found that Python is the most desired coding language for those who don’t presently use it. The popularity of Python cannot be disputed. And, based on present patterns, it’s expected to be popular for some time to come.
There are nine things that make Python so well-liked.
Is there a reason why Python is so popular? What is it about Python that piques the curiosity of both novice and seasoned programmers? In this article, we’ll take a quick look at nine things that have made Python such a popular programming language.
(1) Python is a simple language to pick up and use.
Programming languages have their own rules, syntax, grammatical structures, etc., and they
frequently involve acquiring an entirely new vocabulary for people interested in entering into
coding. Python, on the other hand, is unique. Python is one of the few programming languages that is as close to English as possible in terms of how it is read and written. The syntax is reduced, and the emphasis is placed on natural language, making it much easier to learn for newcomers. As a result, Python is a popular choice for beginning programmers because it is open source and has an extensive library and package repository. To sum up, Python is the ideal choice for those who lack coding skills due to these and other reasons:
(2) Python has a large and active community that is always ready to help.
There is no such thing as a coder being an island; they rely on important documentation and support to get answers when they experience unexpected challenges or new problems. For more than three decades, Python has been present, allowing a committed user community to form. As a member of the Python community, you’ll have access to a wealth of resources to help you learn the language. The Python community, on the other hand, is very active. Any time that developers are pressed for time, they may rely on the community for quick and efficient answers.
(3) Python has a wide range of customization options.
The term “general-purpose programming language” is often used to characterize Python. This means that unlike domain-specific languages, Python may be used to construct almost any form of application in any sector or field. What are Python’s applications? Web development, data analytics, machine learning, data science, data engineering, and even machine learning and artificial intelligence have all benefited greatly from the use of Python. Python. In addition to Facebook, Google, Netflix, and Instagram, Python is used by a wide range of high-profile firms. Almost no coding task is beyond the capabilities of Python, which is backed by a wide range of frameworks and modules.
(4) Python provides a wide range of web-development tools that are easy to use.
If you’re developing a website, Python is an excellent tool to employ. Python programmers can rapidly and easily set up their web apps using freely available open-source libraries. Additionally, Python’s speed and developer experience make it an obvious choice for individuals who require a speedy solution they can rely on, even while competing languages such as Java or.NET mayoffer higher performance A unique possibility for integrating various application kinds is provided by Python’s wide range of available resources.
(6) Python is ideal for data science and analytics.
Data research and analysis can benefit from many of the same advantages that make python a popular choice for newcomers. A must-have for anyone working with machine learning, cloud computing or big data is Python. It’s easy to pick up and use. Using Python to analyze and organize large datasets is a particularly effective use of the language. In fact, Python is the second most popular language for data science and analytics applications after R. Its out-of-the-box data analysis capabilities, together with its growing ecosystem of data-focused frameworks, help ensure that Python remains a popular data science programming solution.
(7) Python is commonly used with IoT Technology
The internet of things (IoT) continues to grow as wireless connection becomes more widespread. These small, internet-connected gadgets often allow users to make small tweaks to their code, changing their performance to match specific demands. Quite a few of these gadgets are Python or Micropython compatible (a scaled down version of the programming language designed for simpler devices). In order to take full advantage of the ever-expanding internet of things, users are finding that a functional knowledge of Python is becoming increasingly important.
(8) Python empowers custom automation
Writing a substantial amount of code is usually required when dealing with more complicated technology. The reality is that even the simplest activities can consume a significant portion of a developer’s time. Developers can focus on more essential concerns by using Python’s tools and modules to automate repetitive, time-consuming operations. Python’s plugin library has allowed it to become a standard for automation across a wide range of industries. Developers commonly create their automation scripts in Python even if they are dealing with other programming languages.
(9) In academia, Python is the language of choice.
Python has risen to prominence as a go-to programming language in educational institutions due to its increasing dependability in data science. A formal computer science education increases the likelihood that students will be exposed to Python during their studies and that they will use it for the rest of their lives. As a result of educating the next generation of programmers and developers, schools are securing the long-term viability and popularity of Python.
Md. Kaimujjaman, received his B.Sc. (Engineering) in Electronics and Communication Engineering from Hajee Mohammad Danesh Science and Technology University and also doing his M.Sc in ECE from that University. At present he is a faculty member of Software Engineering department of Daffodil International University. He has skills in electrical and electronics, algorithm generation, database management and programming skills in HTML, C, C++, JAVA and Python. He is mostly interested in embedded electronic systems, sensor applications, IoT, IoE and Network Security. He has developed several projects on electronic and embedded system, Artificial Intelligence and Android apps development. He has a better working knowledge on Microcontroller programming, PSpice simulation, MATLAB and Embedded system design. He has also participated on several domestic and online programming contests.