Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconData Sciencebreadcumb forward arrow iconTop 10 Reasons Why Python is So Popular With Developers in 2023

Top 10 Reasons Why Python is So Popular With Developers in 2023

Last updated:
28th Sep, 2022
Read Time
11 Mins
share image icon
In this article
Chevron in toc
View All
Top 10 Reasons Why Python is So Popular With Developers in 2023


In this article, you will learn the Top 10 Reasons Why Python is So Popular With Developers.

  1. Easy to Learn and Use
  2. Mature and Supportive Python Community
  3. Support from Renowned Corporate Sponsors
  4. Hundreds of Python Libraries and Frameworks
  5. Versatility, Efficiency, Reliability, and Speed
  6. Big data, Machine Learning and Cloud Computing
  7. First-choice Language
  8. The Flexibility of Python Language
  9. Use of python in academics
  10.  It is interpreted

Read the full article to know more in detail.

Python is one of the languages that is witnessing incredible growth and popularity year by year. In 2017, Stackoverflow calculated that python would beat all other programming languages by 2020 as it has become the fastest-growing programming language in the world.

It is also considered one of the best programming languages for machine learning. The following article will point out the various reasons behind this huge Python popularity and will also answer your question, Why to use Python?

So why is Python so popular? Let’s find out below:

Why is Python so Popular?

Although there are several widely acknowledged flaws of this programming language, it is considered one of the most popular and important languages worldwide. So what are the various features of Python that have resulted in this huge importance of Python across the world? The list mentioned below gives you the answer to this question.

1) Easy to Learn and Use

Python language is incredibly easy to use and learn for new beginners and newcomers. The python language is one of the most accessible programming languages available because it has simplified syntax and not complicated, which gives more emphasis on natural language. Due to its ease of learning and usage, python codes can be easily written and executed much faster than other programming languages.

When Guido van Rossum was creating python in the 1980s, he made sure to design it to be a general-purpose language. One of the main reasons for the popularity of python would be its simplicity in syntax so that it could be easily read and understood even by amateur developers also.

Must read: Free excel courses!

One can also quickly experiment by changing the code base of python because it is an interpreted language which makes it even more popular among all kinds of developers.

Reports suggest that between the years 2018 and 2021, almost 3 million new developers entered the market. This brings the total number to 27 million. By the end of the next two years, the said total is expected to reach nearly 30 million, and by the end of the decade, it can be 45 million.  Python is an extremely friendly and simple language to use for both new and inexperienced programmers. This can be attributed to being one of the major reasons for the immense importance of Python in today’s world. 

2) Mature and Supportive Python Community

Python was created more than 30 years ago, which is a lot of time for any community of programming language to grow and mature adequately to support developers ranging from beginner to expert levels. There are plenty of documentation, guides and Video Tutorials for Python language are available that learner and developer of any skill level or ages can use and receive the support required to enhance their knowledge in python programming language.

Many students get introduced to computer science only through Python language, which is the same language used for in-depth research projects. The community always guides learners who learn data science.

If any programming language lacks developer support or documentation, then they don’t grow much. But python has no such kind of problems because it has been here for a very long time. The python developer community is one of the most incredibly active programming language communities.

This means that if somebody has an issue with python language, they can get instant support from developers of all levels ranging from beginner to expert in the community. Getting help on time plays a vital role in the development of the project, which otherwise might cause delays.

Our learners also read – Learn python free courses!

3) Support from Renowned Corporate Sponsors

Programming languages grows faster when a corporate sponsor backs it. For example, PHP is backed by Facebook, Java by Oracle and Sun, Visual Basic & C# by Microsoft. Python Programming language is heavily backed by Facebook, Amazon Web Services, and especially Google.

Google adopted python language way back in 2006 and have used it for many applications and platforms since then. Lots of Institutional effort and money have been devoted to the training and success of the python language by Google. They have even created a dedicated portal only for python. The list of support tools and documentation keeps on growing for python language in the developers’ world.

Must read: Data structures and algorithm free!

upGrad’s Exclusive Data Science Webinar for you –

How upGrad helps for your Data Science Career?

Explore our Popular Data Science Courses

4) Hundreds of Python Libraries and Frameworks

Due to its corporate sponsorship and big supportive community of python, python has excellent libraries that you can use to select and save your time and effort on the initial cycle of development. There are also lots of cloud media services that offer cross-platform support through library-like tools, which can be extremely beneficial.

Libraries with specific focus are also available like nltk for natural language processing or scikit-learn for machine learning applications.

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 will wholeheartedly agree that the python language is efficient, reliable, and much faster than most modern languages. Python can be used in nearly any kind of environment, and one will not face any kind of performance loss issue irrespective of the platform one is working.

One more best thing about versatility of python language is that it can be used in many varieties of environments such as mobile applications, desktop applications, web development, hardware programming, and many more. The versatility of python makes it more attractive to use due to its high number of applications.

6) Big data, Machine Learning and Cloud Computing

Cloud Computing, Machine Learning, and Big Data are some of the hottest trends in the computer science world right now, which helps lots of organizations to transform and improve their processes and workflows.

Python language is the second most popular used tool after R language for data science and analytics. Lots of many data processing workloads in the organization are powered by python language only. Most of the research and development takes place in python language due to its many applications, including ease of analyzing and organizing the usable data.

Not only this, but hundreds of python libraries are being used in thousands of machine learning projects every day, such as TensorFlow for neural networks and OpenCV for computer vision, etc.

7) First-choice Language

Python language is the first choice for many programmers and students due to the main reason for python being in high demand in the development market. Students and developers always look forward to learning a language that is in high demand. Python is undoubtedly the hottest cake in the market now.

Many programmers and data science students are using python language for their development projects. Learning python is one of the important section in data science certification courses.  In this way, the python language can provide plenty of fantastic career opportunities for students. Due to the variety of applications of python, one can pursue different career options and will not remain stuck to one.

Read our popular Data Science Articles

8) The Flexibility of Python Language

The python language is so flexible that it gives the developer the chance to try something new. The person who is an expert in python language is not just limited to build similar kinds of things but can also go on to try to make something different than before.

Python doesn’t restrict developers from developing any sort of application. This kind of freedom and flexibility by just learning one language is not available in other programming languages.

9) Use of python in academics

Now python language is being treated as the core programming language in schools and colleges due to its countless uses in Artificial Intelligence, Deep Learning, Data Science, etc. It has now become a fundamental part of the development world that schools and colleges cannot afford not to teach python language.

In this way, it is increasing more python Developers and Programmers and thus further expanding its growth and popularity. 

Top Data Science Skills to Learn

10) Automation 

Python language can help a lot in automation of tasks as there are lots of tools and modules available, which makes things much more comfortable. It is incredible to know that one can reach an advanced level of automation easily by just using necessary python codes.

Python is the best performance booster in the automation of software testing also. One will be amazed at how much less time and few numbers of lines are required to write codes for automation tools.

11) It is interpreted 

Yet another reason that has led to this huge importance of python programming language, is that it is interpreted rather than compiled. This means that the python applications can interpret code line by line at runtime, without the need for pre-runtime compilation. This enables developers to run their applications much faster. Furthermore, this also helps in the identification of the source of runtime errors, which in turn simplifies the process of debugging.

12) It is open-source

Last but not least, Python is considered to be one of the excellent development alternatives, especially for developers who are extremely cost-conscious. There is absolutely no cost involved in downloading or using Python. Additionally, there are no licensing fees as well for commercial platforms that use Python. 

All the above-mentioned points are some of the major factors that drive the huge importance of Python programming language in this current world. According to a report, almost 50% of developers use Python, which is more than other languages like JavaScript, and HTML/CSS. 

Why To Use Python

Now that you have a detailed understanding of the reason behind this immense Python popularity, let’s take a look at some of the factors that will answer the question, why to use Python.

  • Can Support Mutilple Programming Paradigms-

One of the most important features of Python that makes it the perfect choice, especially for large enterprises is that it can support multiple programming paradigms. For example, some of the major programming paradigms supported by Python include,

  • Procodeural Programming- 
  • Object-oriented Programming
  • Functional Programming

Needless to say that one programming paradigm cannot solve all your problems effectively. Therefore, you always need multiple programming paradigms, like the ones mentioned above. This makes Python such a popular choice among large enterprises. Furthermore, it is also loaded with automatic memory management, which makes it much stronger than other programming languages. 

  • Adoption Of Test-Driven Approach-

Test-driven approach, also known as TDD, enables you to test drive the design and development of your application. You can easily build tests to understand your next step, understand the design, and specify what the code will do. It is considered to be a much better alternative to the traditional testing method since TDD ensures 100% test coverage, and you get to avoid complexities by using this method, such as duplication of codes. 

With the help of Python, you can now perform coding and testing simultaneously by simply adopting the TDD methodology. 


Some of the reasons why Python is growing at a supersonic speed. We hope this article has shed some good light on python language and its importance. So if anyone asks you “why python programming?” you have an essay answer ready.

If you are curious to learn about Python, data science, check out IIIT-B & upGrad’s Executive PG Programme in Data Science which is created for working professionals and offers 10+ case studies & projects, practical hands-on workshops, mentorship with industry experts, 1-on-1 with industry mentors, 400+ hours of learning and job assistance with top firms.



Blog Author
We are an online education platform providing industry-relevant programs for professionals, designed and delivered in collaboration with world-class faculty and businesses. Merging the latest technology, pedagogy and services, we deliver an immersive learning experience for the digital world – anytime, anywhere.

Frequently Asked Questions (FAQs)

1Why is Python becoming so popular in this decade?

Python has a solution for every field. It is the most versatile language till now and has a bright future ahead. There is a long list of fields where Python is considered to be the most suitable programming language. The major fields include Machine Learning and AI, Web Development, Data Analytics, Game Development, IoT, Application Development, and Game Development. Many sectors including the healthcare sector, finance sector, aerospace sector, and banking sector rely heavily on Python. There are many big names that have either built their applications on Python or have completely shifted their tech stack to Python. Some of these include YouTube, Google, Instagram, and Pinterest.

2What role does the Python developer community play?

Python was founded around 30 years ago and so it has a vast community of efficient developers. These developers are constantly helping out the beginners through their constant support and in-depth journals. There is plenty of documentation and guides that the newbie programmers could learn and enhance their Python. We have seen that many programming languages do not grow due to the lack of community support. But Python is lucky in this case. The efficiency of Python in multiple technical domains like data science, machine learning, and data analysis also advocates the reason for such a large and active Python developers’ community.

3What career opportunities does Python provide?

Python is a very versatile language and if you have a good knowledge of Python, there can be various career opportunities in your hand. Some of these opportunities are as follows: You can be a Python developer right after acquiring the Python knowledge. Python developers are responsible for building websites, optimize data algorithms, or write clean and efficient Python codes. A data analyst has to deal with large sets of data, analyze them and make them visualized. If you are a Python geek and love to play with data then this job is for you. Project management is in high demand as a project manager is highly responsible for the business and marketing of the companies.

Explore Free Courses

Suggested Blogs

Python Free Online Course with Certification [2023]
Summary: In this Article, you will learn about python free online course with certification. Programming with Python: Introduction for Beginners Lea
Read More

by Rohit Sharma

20 Sep 2023

Information Retrieval System Explained: Types, Comparison & Components
An information retrieval (IR) system is a set of algorithms that facilitate the relevance of displayed documents to searched queries. In simple words,
Read More

by Rohit Sharma

19 Sep 2023

26 Must Read Shell Scripting Interview Questions & Answers [For Freshers & Experienced]
For those of you who use any of the major operating systems regularly, you will be interacting with one of the two most critical components of an oper
Read More

by Rohit Sharma

17 Sep 2023

4 Types of Data: Nominal, Ordinal, Discrete, Continuous
Summary: In this Article, you will learn about 4 Types of Data Qualitative Data Type Nominal Ordinal Quantitative Data Type Discrete Continuous R
Read More

by Rohit Sharma

14 Sep 2023

Data Science Course Eligibility Criteria: Syllabus, Skills & Subjects
Summary: In this article, you will learn in detail about Course Eligibility Demand Who is Eligible? Curriculum Subjects & Skills The Science Beh
Read More

by Rohit Sharma

14 Sep 2023

Data Scientist Salary in India in 2023 [For Freshers & Experienced]
Summary: In this article, you will learn about Data Scientist salaries in India based on Location, Skills, Experience, country and more. Read the com
Read More

by Rohit Sharma

12 Sep 2023

16 Data Mining Projects Ideas & Topics For Beginners [2023]
Introduction A career in Data Science necessitates hands-on experience, and what better way to obtain it than by working on real-world data mining pr
Read More

by Rohit Sharma

12 Sep 2023

Actuary Salary in India in 2023 – Skill and Experience Required
Do you have a passion for numbers? Are you interested in a career in mathematics and statistics? If your answer was yes to these questions, then becom
Read More

by Rohan Vats

12 Sep 2023

Most Frequently Asked NumPy Interview Questions and Answers [For Freshers]
If you are looking to have a glorious career in the technological sphere, you already know that a qualification in NumPy is one of the most sought-aft
Read More

by Rohit Sharma

12 Sep 2023

Schedule 1:1 free counsellingTalk to Career Expert
footer sticky close icon