Is Perl Still Relevant? A Textsmith's Reflection
Ishe Chinyoka
- 6 minutes readTable of Contents
The next series of posts on this blog look at text-processing, which is the bread-and-butter of every textsmith. Yet we cannot talk of modern text manipulation without bringing perl into the picture.
On July 15, the perl project made an announcement of Version 5.44 release and I just thought it appropriate to reflect on this classic power tool for text manipulation.
For anyone who has spent time around Unix, Perl is difficult to ignore. Long before Python became the language of choice for automation, and before data science popularized Pandas and Jupyter notebooks, Perl was the language that quietly held countless systems together. It parsed log files, generated reports, transformed configuration files, automated system administration, and gave programmers one of the most expressive regular expression engines ever designed.
Yet today, Perl occupies a curious place. It is no longer the first language recommended to beginners. Many tutorials have been replaced by Python examples. Universities rarely teach it. Job advertisements mention it only occasionally. Even among Linux users, shell scripts often give way to Python once they become sufficiently complex.
Does this mean Perl is no longer relevant?
I do not think so.
Rather, I believe Perl has found its natural place.
The Language That Understood Text
Perl’s full name—Practical Extraction and Reporting Language—reveals its original purpose. It was never designed to be a general-purpose language first. It was designed to manipulate text.
That distinction matters.
Many languages can process text. Perl was built around the assumption that text processing is what programmers spend much of their time doing.
Need to search?
Perl has regular expressions.
Need to replace?
Perl has substitutions.
Need to split fields?
Perl has built-in operators.
Need to walk through thousands of files?
Perl understands the filesystem naturally.
Need to launch external commands?
Perl works comfortably alongside the Unix environment.
This explains why Perl became such an indispensable tool for system administrators.
It did not fight the operating system.
It embraced it.
The Revolution It Started
Ironically, one measure of Perl’s success is that many of its best ideas escaped into other languages.
Python adopted expressive string handling.
JavaScript incorporated Perl-like regular expressions.
Ruby inherited Perl’s programmer-friendly philosophy.
Even grep eventually acquired PCRE (Perl Compatible Regular Expressions), allowing users of many Unix tools to benefit from Perl’s powerful pattern language without writing a line of Perl.
Today, programmers routinely write regular expressions that were inspired directly by Perl.
The language’s influence reaches far beyond those who still write Perl programs.
Why Python Took Over
It is impossible to discuss Perl without acknowledging Python.
Python arrived with a philosophy emphasizing readability. Its clean indentation, relatively small standard syntax, and approachable learning curve made it attractive for education, automation, scientific computing, web development, and eventually artificial intelligence.
Where Perl often celebrated flexibility—
“There’s more than one way to do it.”
Python encouraged consistency.
“There should be one—and preferably only one—obvious way to do it.”
Neither philosophy is inherently superior.
They simply optimize for different goals.
As Python expanded into virtually every area of computing, many of Perl’s traditional tasks naturally migrated with it.
A system administrator writing a 500-line automation script today is more likely to choose Python than Perl.
That does not diminish Perl.
It merely reflects where the programming ecosystem has moved.
The Curious Case of Perl 5
Some observers point to Perl’s version number as evidence of stagnation.
After all, it has been “Perl 5” for decades.
Yet version numbers can be deceptive.
Perl 5 has continued to evolve through regular releases, adding language improvements, performance enhancements, modules, and modern features while maintaining an extraordinary degree of backward compatibility.
For organizations that still depend on scripts written twenty years ago, this stability is not a weakness.
It is one of Perl’s greatest strengths.
Software that continues running without modification is often the highest compliment a programming language can receive.
Perl’s Sweet Spot
Where, then, does Perl shine today?
Not necessarily in building web frameworks.
Not necessarily in machine learning.
Not necessarily in data science.
Instead, Perl excels wherever text and the operating system meet.
Examples include:
- Parsing large log files
- Editing configuration files
- Batch-renaming files
- Generating reports
- Processing structured and semi-structured text
- Writing sophisticated one-off utilities
- Building command-line automation
- Performing advanced regular-expression matching
These remain common tasks for anyone who spends their day in a terminal.
More Than Shell, Less Than an Application Framework
One reason I continue to appreciate Perl is that it occupies an interesting middle ground.
A shell script is wonderfully concise, but once conditions, nested loops, complex parsing, and data structures begin to accumulate, it quickly becomes difficult to maintain.
On the other hand, reaching immediately for a full Python application can sometimes feel excessive.
Perl often sits comfortably between these two worlds.
It retains the Unix spirit of composing small tools while providing richer programming facilities than the shell.
It understands text naturally.
It understands files naturally.
It understands external commands naturally.
For many administration tasks, this combination remains remarkably productive.
The Textsmith’s Perspective
As textsmiths, our responsibility is not to chase fashionable languages.
Our responsibility is to understand text.
Programming languages come and go.
Frameworks rise and disappear.
Editors change.
Operating systems evolve.
Text remains.
Perl reminds us that text deserves first-class treatment.
Even if you never write a substantial Perl program, learning its philosophy deepens your understanding of regular expressions, text transformation, Unix pipelines, and command-line thinking.
In that sense, Perl continues to teach long after its period of mainstream popularity.
So, Should You Learn Perl?
If your goal is finding the widest variety of programming jobs, Python is probably the better investment.
If your goal is understanding Unix history, mastering regular expressions, writing elegant text transformations, or appreciating one of the most influential scripting languages ever created, Perl remains well worth your time.
Not because it is fashionable.
Not because everyone uses it.
But because it still embodies a way of thinking that every textsmith can learn from.
Languages should not be judged solely by how many people write them today.
Sometimes they deserve to be remembered because they changed the way everyone else writes software.
Perl is one of those languages.
Final Thoughts
A good textsmith does not ask, “Which language won?”
Instead, they ask, “Which language understands this problem best?”
For many problems involving plain text, Perl still gives an elegant answer.
Perhaps that is its enduring legacy.
It reminds us that text-processing is not merely one programming task among many.
It is a discipline in its own right.