Top 10 Reasons Why Python is So Popular With Developers in 2021 - NullClass

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Top 10 Reasons Why Python is So Popular With Developers in 2021

Python is one of the languages that continue to rise in popularity year after year. Python, according to Stackoverflow, will outperform all other programming languages by 2020, as it has become the world’s fastest-growing programming language.

It’s also regarded as one of the most effective programming languages for machine learning. So, why is Python so well-liked? Let’s have a look:

Why is Python so popular?


1. Easy to Learn and Use

For newcomers and beginners, the Python language is relatively simple to use and understand. Python is one of the most accessible programming languages available since it has a simple syntax and is not overly technical, allowing natural language to take centre stage. Python codes can be produced and performed significantly faster than other programming languages due to their ease of understanding and use.

Guido van Rossum ensured that python was designed to be a general-purpose language when he created it in the 1980s. One of the key reasons for Python’s success is its simple syntax, which allows it to be read and understood even by inexperienced programmers.

Because Python is an interpreted language, it can be readily experimented with simply modifying the code base, making it even more popular among all types of developers.


2. Mature and Supportive Python Community

Python was founded more than 30 years ago, which is a long time for any programming language community to mature and evolve to the point where it can support developers at all levels, from novice to expert. There is a wealth of material, guidelines, and video tutorials available for the Python programming language that learners and developers of all skill levels and ages can utilise to improve their knowledge of the language.

Many students are solely exposed to computer science through the Python programming language, which is also utilised for in-depth research projects. Learners of data science are always guided by the community.

If a programming language doesn’t have developer support or documentation, it won’t grow very quickly. Python, on the other hand, has never had similar issues because it has been around for a long time. One of the most active programming language communities is the python developer community.

This implies that if someone has a problem with the Python language, they may obtain immediate help from developers of all levels in the community, from novice to expert. Getting aid on time is critical to the project’s development, which could otherwise lead to delays.


3. Support from Renowned Corporate Sponsors

When a company sponsors a programming language, it expands quicker. For example, Facebook supports PHP, Oracle and Sun provide Java, and Microsoft supports Visual Basic and C#. Facebook, Amazon Web Services, and, most notably, Google all support the Python programming language.

Google began using the Python programming language in 2006 and has subsequently utilised it in a variety of applications and platforms. Google has invested a lot of time and money in the teaching and success of the Python programming language. They’ve even developed a separate python-only portal. In the developer’s world, the list of support tools and documentation for the Python language continues to grow.


4. Hundreds of Python Libraries and Frameworks

Python includes good libraries that you may use to pick and save time and effort on the initial development cycle, thanks to its corporate sponsorship and large supportive community. Many cloud media providers also provide cross-platform support through library-like tools, which can be incredibly useful.

Libraries with a specialised specialisation, such as nltk for natural language processing and scikit-learn for machine learning applications, are also available.

There are many frameworks and libraries are available for python language, such as:

  • matplotib for plotting charts and graphs
  • SciPy for engineering applications, science, and mathematics
  • BeautifulSoup for HTML parsing and XML
  • NumPy for scientific computing
  • Django for server-side web development



5. Versatility, Efficiency, Reliability, and Speed

Ask any python developer, and they’ll tell you that the language is more efficient, dependable, and faster than most modern languages. Python may be utilised in almost any context, and regardless of the platform on which it is employed, there will be no performance loss.

Another advantage of the Python language’s adaptability is that it may be utilised in a wide range of situations, including mobile apps, desktop apps, web development, hardware programming, and so on. Python’s adaptability makes it more appealing to use because of its wide range of applications.



6. Big data, Machine Learning and Cloud Computing

Cloud computing, machine learning, and big data are three of the most popular computer science technologies right now, and they’re helping a lot of companies adopt and improve their processes and workflows.

After R, Python is the second most widely used language for data science and analytics. The Python programming language is used to fuel a large number of data processing workloads in the company. Because of its various applications, including the simplicity of analysing and arranging useable data, the majority of research and development is done in Python.

Not only that but hundreds of Python modules, such as TensorFlow for neural networks and OpenCV for computer vision, are utilised in thousands of machine learning projects every day.



7. First-choice Language

The key reason for python’s high demand in the development business is that it is the first pick for many programmers and students. Students and developers alike are always excited to learn a popular language. Python is, without a question, the most popular cake on the market right now.

The Python programming language is used by many programmers and data science students for their development projects. One of the most crucial sections of data science certification courses is learning Python.

In this sense, the Python programming language may present students with a plethora of exciting job options. Because of the many applications of Python, one can pursue a number of career paths and will not be limited to one.



8. The Flexibility of Python Language

The Python programming language is so versatile that it allows developers to attempt new things. An expert in the Python programming language is not confined to building similar things, but can even try to create something new.

Python allows programmers to create any type of application they want. Other programming languages do not provide this level of freedom and flexibility by learning only one language.


9. Use of python in academics

Because of its numerous applications in Artificial Intelligence, Deep Learning, Data Science, and other fields, the Python programming language is now considered the basic programming language in schools and institutions. Python is now such an important element of the development industry that schools and universities cannot afford to ignore it.

As a result, there are more Python Developers and Programmers, and the language’s growth and popularity continue to grow.


10. Automation 

Python language may help a lot with task automation because it has a lot of tools and modules, which makes things a lot easier. It’s remarkable to think that with only necessary python programmes, one may easily achieve sophisticated levels of automation.

Python is also the best performance booster for software testing automation. Writing codes for automation tools takes a fraction of the time and requires a little number of lines.



Some of the reasons why Python is exploding in popularity. We hope that this essay has thrown some light on the Python programming language and its significance. So, if someone asks you “why python programming?” you’ll be prepared with an essay response.

If You want to take the app development path in your coding career our courses at might help you achieve the goal you want.

We have courses in both Java and Kotlin and the courses are done in a real-time environment so by the end of the course you have your own ready which you built yourself.

Have a nice day.

November 15, 2021

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