Top 10 Reasons Why Python Is Popular With Developers

One of the languages that are experiencing phenomenal development and popularity each year is Python. Python has become the world's fastest-growing programming language, and Stackoverflow predicted in 2017 that it would surpass all other programming languages by 2020. It is also regarded as one of the top programming languages for artificial intelligence. Then why is Python so well-liked? Check it out below:

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Why is Python so popular?

1) Simple to Use and Learn

The Python programming language is relatively simple for new users to learn and utilize. Python is one of the most user-friendly programming languages since it has a simple syntax and isn't overly complex, putting more of an emphasis on natural language. Python is one of the easiest programming languages to learn and use, making it possible to write and execute scripts quickly compared to other programming languages.

2) Experienced and helpful Community for Python

Python was developed more than 30 years ago, which is plenty of time for any programming language community to expand and mature to the point where it can support developers at all levels of experience. The Python programming language has a wealth of material, guidelines, and video tutorials that learners and developers of all ages and ability levels may utilize to advance their knowledge of the language.

Python, which is the same language used for in-depth research projects, is the only language via which many students are introduced to computer science. When people learn data science, the community always offers guidance.

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3) Assistance from Notable Corporate Sponsors

When a business sponsor supports them, programming languages advance more quickly. For instance, Oracle and Sun support Java, Microsoft supports Visual Basic & C#, and Facebook supports PHP. Facebook, Amazon Web Services, and particularly Google all provide significant support for the Python programming language.

Google began using the Python programming language in 2006 and has subsequently utilized it for a wide variety of platforms and applications. Google has invested a significant amount of institutional time and resources towards the advancement of the python language. Even a special Python-only gateway has been made by them. Python continues to receive more documentation and support tools in the world of developers.

4) Numerous Python Frameworks and Libraries

Python includes fantastic libraries that you may use to pick and save your time and work on the initial cycle of development thanks to its corporate backing and large supportive community. Additionally, a large number of cloud media services provide cross-platform support via library-like tools, which can be quite helpful.

There are additional libraries with a particular specialty, such as nltk for applications involving natural language processing or scikit-learn for those involving machine learning.

5) Flexibility, effectiveness, dependability, and quickness

Any developer who uses Python will concur that it is more effective, dependable, and quick than the majority of contemporary languages. Regardless of the platform one is working on, Python can be used in almost any situation without experiencing any performance degradation.

Python's flexibility also includes the ability to be utilized in a wide range of settings, including those for hardware programming, online development, desktop apps, mobile applications, and desktop applications. Python's many uses make it more appealing to employ due to its versatility.

6) Cloud computing, machine learning, and big data

The three biggest topics in computer science today—Cloud Computing, Machine Learning, and Big Data—help many firms adapt and enhance their processes and workflows.

After the R language, Python is the second most used tool for data science and analytics. Python is the only language used in the business to power the vast majority of data processing workloads. Python is used for most research and development projects because of its many applications, including the simplicity with which user data may be organized and analyzed.

7) Top preference Language

Because of python's great demand in the development business, it is the language of choice for many programmers and students. A language that is in high demand is always something that students and developers look forward to studying. Without a question, Python is the current market's hottest product.

Python is a popular programming language that many programmers and data science students use for their development projects. One of the key components of data science certification courses is learning Python. In this sense, the Python programming language may offer students a tonne of amazing job prospects. Python has a wide range of applications, this one is not limited to one job path and can pursue others.

8) Python's Flexibility as a Language

The flexibility of the Python language allows developers to experiment with novel ideas. An expert in the Python programming language is not only able to create similar objects but may also attempt to create novel objects.

Python does not impose any limitations on developers when creating applications of any kind. Other programming languages do not offer this level of independence and adaptability with just one language.

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9) Python's use in academia

Python is now regarded as the primary programming language in schools and colleges because of all the applications it has in fields like artificial intelligence, deep learning, data science. Schools and universities cannot afford to stop teaching Python since it has now integrated so deeply into the development community.

By attracting more Python programmers and developers, it is accelerating the language's development and expansion.

10. Automatization

The availability of several tools and modules in the Python programming language makes the automation of activities much easier. It is astounding to learn that with only the essential Python programs, one may easily achieve a high level of automation.

Python is the finest performance enhancer for software testing automation as well. You'll be astonished at how little time and how few lines of code are needed to create automation tools.