Python is regarded as a general-purpose, flexible programming language. It is an open-source, high-level language with simple syntax that is simple to learn. Owing to several benefits (which we will discuss subsequently), the multi-paradigm programming language is highly suitable for a wide range of applications. 

Python 2 has come a long way since its release in 2000, when it was still a new kid on the block and quickly gained popularity among programmers. Python 2’s end-of-life date was January 1, 2020, with Python 2.7 being the most recent significant update from 2010 onward.

2008 saw the release of Python 3, an update to Python 2, and for about ten years, the two versions coexisted. 95% of Python developers work with Python 3. Python 3 may be preferred over Python 2 if you’re looking for Python developers.

However, what precisely is at issue when comparing Python 2 and Python 3? Is Python 2 still applicable today? Continue reading, and you may be shocked by the response.

What Is Python 2?

The goal of Python 2.0 was to increase accessibility and coding knowledge for all users. Python was developed in 1991 by Guido van Rossum, who provided most of the language’s support prior to its release in 2010.

Rossum made Python development and advancement more accessible to the broader developer community with Python 2. Python 2 became one of the most widely used languages in the world as the community enhanced its codebase and contributed to new releases.

Python 2’s many enhancements over earlier iterations allowed it to surpass the language’s initial goal of promoting coding literacy.

It is currently used by companies like Netflix, Spotify, Reddit, Uber, Instagram, and has been a major contributor to the development of languages like Perl and Ruby as well.

What Is Python 3?

2008 saw the release of Python 3. With each new 2.x release, it aimed to enhance Python 2 without introducing significant changes. As a result, Python 3 emerged as a distinct subset within the larger Python ecosystem. Python 3 is backwards incompatible with Python 2 by design.

Python users are divided into two groups based on the types of use cases they have and how willing they are to perform complicated migrations.

Both Python versions had different applications, from machine learning and data analytics to web development and computer graphics. When it comes to coding for computer graphics, games, and mobile development, Python 2 is still favored over Python 3.

The process still takes a lot of work, even though some features of Python 3 have been transferred over to Python 2 to make the transition easier.

What Are the Differences Between Python 2 and Python 3?

Significant distinctions exist between Python 2 and Python 3, given the latter’s significant divergence. 

  • Backward compatibility: Python 2 and Python 3 are not backwardly compatible, although Python 2 code can be converted to Python 3 with some work.
  • Syntax: Although the syntaxes of Python 2 and Python 3 are similar, Python 2 has a more complex syntax that is harder to understand.
  • Use in the modern era: 95% of Python developers use Python 3, while Python 2 has all but stopped being used.
  • Application: Python 3 is still the recommended version for all other use cases, with the exception of computer graphics and mobile development, where Python 2 is preferred.
  • “Print”: In Python 3, “print” is regarded as a function, whereas in Python 2, it is regarded as a statement.
  • String storage: Python 2 defaults to storing strings in ASCII, whereas Python 3 stores strings in Unicode.
  • When dividing integers, Python 2 returns an integral result while Python 3 returns a floating-point result. For example, dividing 9 by 4 in Python 2 will result in 2 but 2.5 in Python 3. 
  • Exceptions: In Python 2, exceptions are enclosed in notations, but in Python 3, exceptions are enclosed in parentheses.
  • Variable leakage: In Python 2, variables can be changed (for example, when they are used inside a for-loop). However, variable values in Python 3 are not modifiable.
  • Iteration: In Python 3, the new function Range() is used for iterations, whereas in Python 2, the xrange() function is used.

Why Move To Python 3?

Python 2 support was supposed to terminate on January 1, 2020, and Python 2.7, which was released in 2010, had no successor. With the passing of that date, Python 2 was declared to be out of date.

So, should your company switch to Python 3? Indeed, without a doubt.

In addition to having all of the previously mentioned advantages, Python 3 is the more recent and secure version of the language. You run the risk of security vulnerabilities and bugs on your systems if you continue to use Python 2.

Additionally, Python 3 has a far larger community that actively works on newer releases and bug fixes to enhance the functionality and stability of the codebase. Better performance and constantly updated features are yours to enjoy. 

Python 3 was created to be a more understandable and readable version of the language. 

Why Do You Still Use Python 2?

Even though Python 2 is no longer supported and should be avoided if you’re still using it on your systems, there may still be a good reason to do so.

Because they are afraid of breaking their Python 2 applications, many businesses don’t want to switch to Python 3. Migration is often a labor-intensive process that demands a substantial financial commitment in addition to a lot of time.

Retaining Python 2 code while pursuing the adoption of Python 3 for more recent development tasks is necessary to maintain such legacy applications.

Is Python 3 or Python 2 the Better Version?

One might wonder which version of Python is superior after discussing the variations between the two and the justifications for choosing to “stay or move.”

Benefits of Python 3.

Without a doubt, Python 3 is superior to Python 2. The differences between Python 2 and Python 3 are so great that the argument between the two isn’t very valid.

Python 3 is superior in terms of security and dependability in addition to improvements in performance, syntax, and other aspects of quality of life. New features are frequently added, and bugs are quickly fixed thanks to the ever expanding Python 3 community.

Benefits of Python 2

As we mentioned previously, Python 2 does lend itself better in certain use cases. Python 2 is worth looking into if you work with computer graphics, games, or mobile development.

The only other possible motivation for developers to work with or learn Python 2 might be to become proficient in the Python 3 migration process. Additionally, businesses need Python 2 developers to maintain their legacy Python 2 code.

How To Choose the Best Python Version To Use?

Objectively speaking, Python 3 may be superior, but you must assess your needs and select the appropriate Python version for your project.

It’s likely that your organization is relatively new and that Python 2 is not being used there. Then, unless you’re working with certain libraries that aren’t yet compatible with Python 3, there’s really no reason to think about using Python 2.

You can keep using Python 2 and hire developers to manage your codebase if you do have legacy Python 2 applications and don’t want to switch to Python 3 just yet. However, it is advised that you start planning your switch to Python 3 as soon as possible. Additionally, for any new development project, attempt to select Python 3.

You will need to hire Python developers for development, migration, or even maintenance projects, regardless of the version of Python you are using.

Trio can assist you in finding top-tier Python developers without having to spend thousands on a drawn-out hiring process.

You can avoid hiring expenses, which can account for a sizeable portion of a developer’s yearly salary, when you work with Trio. Trio developers are determined, well-trained, and long-term oriented.

Furthermore, you are exempt from managing payroll, benefits, and compliance-related HR tasks. Trio handles everything on your behalf.


the choice between Python 2 and Python 3 in 2024 hinges on understanding key differences and compatibility considerations. Our guide equips developers to make informed decisions, ensuring optimal project development in alignment with the latest advancements in Python programming.

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