Is Python Really a Flexible Programming Language?

6 min read
Updated: Aug 31, 2020

One of the programming languages that has been able to get the attention of many developers is Python. It is a general-purpose programming language that is known for its flexibility and simplicity. Below is the chart that shows the steady growth of Python language over the period.

Many new developers jump into Python because of its simplicity. There are plenty of institutions who teach Python because it is easy to learn as a first programming language. For beginners, they might wonder about the prospect of Python. Many intermediate programmers may have confusion regarding the flexibility of Python.

In this article, I will argue rationally about the flexibility of Python.

How flexible is Python as a Programming Language?

After talking going through this article, it is up to you to decide, whether Python is a flexible programming language or not. Let’s examine the flexibility of Python.

Undoubtedly the most preferred programming language in data science and machine learning

The field of machine learning and Big data are hot right now. These technologies will get more prominent in the time to come. The huge corporations are investing a lot of time and money in these technologies.

If you want to enter the field of data science and machine learning, it is like given to know Python programming language. You can opt for Python programming training to build a strong foundation for this language. There are plenty of free resources online; however, a well-structured course will offer a systematic stem that will make things incredibly easy to get started as a developer.

One of the reasons for the popularity of Python is the combination of simplicity and the massive libraries for data manipulation. Integrating Python with existing infrastructure is effortless. You will find a wide range of tools to analyze data and visualize it.

Regarding Machine Learning, scientists use this language for developing machine learning models. One of the reasons is due to the quick implementation of Python code for solving complicated Calculus, and other advanced problems.

You will find a vast number of packages to solve machine learning problems. There are packages for everything, which include images, audio, text, deep learning, scientific computing, and so on. One great thing is that one can quickly jump into machine learning after knowing the basics of Python.

Here is one cool fact. There is massive scope for professionals who can combine machine learning with Big Data. Learning Python will make you an on-demand professional in these fields.

Not the most popular language in a web development space, but it has a significant market share

PHP and Javascript are the dominating programming languages in the web development space. However, the Python frameworks like Flask and Django are also increasing in popularity. You will find necessary libraries for content management, database interaction, and for dealing with internet protocols like https, POP, SMPT, and so on in these frameworks.

Google App engine, Oddo, and YouTube use Python.

Python is flexible enough for GUI-Based Applications as well

Python has rich text processing tools, an easy-to-understand syntax, and modular architecture. The GUI-based applications that you build with Python can quickly run in multiple operating systems.

You can find toolkits, such as PyQt, PyGtk, and so on that allow developers to play around with graphic user interface (GUI). Some of the applications that you can build with Python are:

  • Games: The developers usually prefer using Java for game development. However, you can also use Python for developing games. There are modules, libraries, and platforms that support game development. You can find PyGame for Game Development libraries and functionality. Some of the favorite Python-based games are Vega Strike, Disney’s Toontown Online, and Civilization-IV.
  • Scientific and Mathematical Applications: It is possible to develop scientific and mathematical applications with Python. There is a favorite tool, Numeric Python, that has been able to gain popularity for developing scientific and mathematical applications. Some of the popular Python-based applications are FreeCAD and Abaqus.
  • Graphic Design Applications: There are many 2D applications coded in Python, such as Inkscape, Scribus, and Paint Shop Pro. Python is also famous for building 3D packages, and some of the famous ones are Maya, Cinema 4D, Blender, and Lightwave.

Shortly, you may find an increased number of people using Python for developing mobile applications. You can find a framework like Kivy for creating cross-platform GUI applications. It is in its early stage; however, it is improving at a rapid pace. The popularity of Python in mobile application will most probably increase along with the rise in the preference of cross-platform mobile applications.

Operating Systems

Some people might argue about the speed of Python when using it for system applications. It is true that it is comparatively slower than C and C++. However, it has been able to find a special place in Linux Distributions. Ubuntu’s Ubiquity Installer and Fedora/RedHat Linux’s Anaconda Installer have Python code base. The famous Gentoo Linux, which is a Package Management System, also utilize Python for Portage.

Business/Enterprise Applications

Python has found its place in business/enterprise application development because of its easy syntax,  code a huge number of libraries, scalability, and extensibility. Python is an excellent language for building and customizing larger applications. In 2005, Reddit was rewritten in Python after they had some problems in Common Lips.

Python is not left behind in Network Programming as well

There are frameworks in Python that support low-level network programming. The Twisted Python framework has enough libraries and functionalities for developers to deal with asynchronous network programming. There is also a simple socket interface that makes work more accessible for developers.

You can use Python for creating new programming languages

The simplicity of Python syntax along with its great design and module architecture are the reasons for using it for language development. The object model of Boo language along with its indentation and syntax have similarities with Python.

Furthermore, there is also a lot of similarities in the syntax of popular programming languages like Cobra and Apple’s Swift.


Due to the simplicity of Python, many beginners along with experienced developers are learning the language. It is an open-source language that appeals to all kinds of developers. You will find a large Python community both online and offline in case you want to connect with them. It is the reason for Python being an excellent choice for Prototype development.

The features of Python, such as agility, scalability, extensibility, and ease of refactoring codes allow a rapid application development with an initial prototype.

Over to You

You can find Python in almost all fields of information technology. In my opinion, Python is one of the best programming languages to learn. I believe it is a flexible programing language and now you know why I have this opinion. However, there are cons of Python like every other programming language.

The programming language that you learn depends on your goals and projects. What do you think about Python now? Let me know in the comment below. If you’ve any more insights about Python, feel free to write it down. I will be delighted to read your comments and ideas.


Sophia Rodreguaze


Sophia is the contributing editor at She writes about anything and everything related to technology.

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