Why is Python so Popular?
Among all programming languages available out there, Python is one of the most popular and in-demand programming languages. Developed by Guido Van Rossum in 1991 as Python 0.9.0, it is a high-level, general-purpose programming language. Also, it is a multi-paradigms programming language that follows object-oriented, functional, imperative, and structural approaches.
Python’s design philosophy primarily focuses on code readability with the use of indentation. Meaning that the syntax of Python is easy to understand and uses white spaces rather than semicolons and curly braces. It enables programmers to write clear and concise code quickly without any hassle.
Along with developing web applications and desktop software, Python plays a vital role in data analysis and data visualization. With the heaps of data generated every day, Python helps businesses in analyzing that data, extracting insights, and representing those insights graphically.
Python has become one of the fastest-growing programming languages because of its versatility. It is used widely in almost every area of software development, including data science, machine learning, website development, and game development.
This article intends to walk you through various reasons for the popularity of Python.
Why is Python so Popular?
Here are teh top reasons why Python is a popular programming language among developers these days:
1. Python is Easy to Learn and Use
One of the most significant reasons for the popularity of Python is its simplicity and ease of learning. The syntax of Python is very straightforward and uses simple English keywords. Also, it eliminates the need for semicolons to delimit the statements and curly braces or keywords to delimit the blocks. Instead, it uses whitespace indentation.
When you write a Python program to accomplish a specific task, it requires fewer lines of code than other programming languages. Since a Python program involves fewer lines of code, the execution is faster than in other programming languages.
2. Python has an Active and Supportive Community
It has been around 29 years since the inception of Python, which is a very long time period. In these years, the Python community has grown tremendously and helped Python beginners and professionals across the globe.
Today, the Python community has professional and experienced developers worldwide. Therefore, you can get help from them in case you encounter any problems while developing applications.
In addition, you can find comprehensive Python documentation, guides, and various tutorials on the internet that help you learn Python.
3. Python has a Plethora of Libraries and Frameworks
Another reason why Python is popular among developers is that it comes with a galore of libraries and frameworks that facilitate the development process. Since Python has active community support, Python developers contribute excellent libraries and frameworks that you can use in your source code and significantly save the development time.
A framework acts as a foundation for building software applications. In simple terms, it is a foundational structure on which you can develop software applications. On the other hand, a library is a collection of pre-written code that users can use during software development.
The following is the list of some popular Python frameworks and libraries:
* Django is a popular and widespread Python framework for developing web applications. * Matplotlib is a Python library for creating static and animated visualizations in Python. * Flask is a micro web framework for developing web applications in Python. * NumPy is a Python library for scientific computing. It enables you to perform mathematical operations on multi-dimensional arrays and matrices. * Scikit-Learn is a machine learning library for the Python programming language. 4. Python is Versatile, Efficient, and Productive
With Python, you can develop any kind of application, including web, desktop, and mobile. In addition, Python plays a vital role in data science and machine learning. Therefore, Python is a versatile programming language.
Since the syntax of Python is very simple and involves fewer lines of code, it increases the productivity of programmers. Instead of focusing on syntax, they can concentrate more on the logic of a program. Therefore, Python is an efficient and productive programming language.
5. Python is used in Machine Learning and Data Science
Not only does Python have its feet in developing web, desktop, and mobile applications, but also in data science and machine learning.
After R, Python is the most preferred programming language for data science and analytics. A plethora of Python libraries, such as NumPy, Pandas, Matplotlib, and Scikit-Learn, are available out there for data processing and analysis.
In addition, many Python libraries are used in developing machine learning models, such as OpenCV, Keras, TensorFlow, etc.
6. Python is used in Task Automation
One of the applications of Python is task automation, which automates redundant and tedious development tasks. It is capable of automating various development tasks, which makes it easier and more comfortable for developers since they can focus on the main logic. Moreover, Python also plays a vital role in the automation of software testing.
7. Python is First-Choice and Used in Academics
Since Python is simple and easy to learn, it has become the first choice of many students. They choose Python as the first programming language to learn. In addition, this language is also included in academics. Many universities have incorporated Python into their curriculum due to its use in popular technologies, such as AI, ML, deep learning, and data science.
This ends our discussion on significant reasons for the popularity of Python. It is a simple and easy-to-learn language because of its straightforward syntax. It uses simple English keywords and eliminates the use of semicolons and curly braces. Moreover, it provides many libraries and frameworks that facilitate the development process and boosts task automation. Python has become the first choice of many IT students since it is used in data science, AI, and ML fields that offer a lucrative career.