Top 10 Practical Uses of Perl Programming Language in 2026

Perl has been dubbed “the duct tape of the internet” and really it is. It does its work subtly in the background without attracting attention, even if no one is speaking about it. However, many students still inquire, “So, is Perl still important?”

Perl was designed in 1987 by Larry Wall to ease the task of text processing and report writing on Unix systems. It was initially a tiny tool, but it expanded rapidly and turned into powering websites, servers and various kinds of back-end automation. Well that’s part of the reason the uses of perl programming language are still relevant to the present day, particularly if you are a student or someone just getting a start to coding.

In this blog post, we’re going to take a look at the places where Perl is used, who continues to use it, and what you should consider when using Perl as a novice programmer. We will also explore the larger questions including, is Perl dead and can it be used in AI?

What Is Perl Programming Language?

Perl is a high-level programming language designed primarily for processing text. Consider any operation that reads from or writes to a file, searches for a pattern, or cleans up bad data. Well, it’s certainly great at that, and it’s with that that it really gained fame.

Perl has some nice distinguishing features. It comes with a very high level of support for regular expressions making finding text and changing it a breeze! It works with practically any system, be it Linux, Windows, or Mac. And then there’s CPAN, a huge library of ready-made modules, so you don’t always have to code things from scratch.

All of this means that Perl can still be found in a few college courses and assignments, particularly in system scripting (or system administration) and text processing. 

Also Read: If you want more beginner-friendly practice ideas, check out our guide on Perl project ideas.

Top Uses of Perl Programming Language

Perl is old and has been used in lots of places over the decades. Here are 10 working examples of perl programming language that are still relevant today.

1. Text Processing and Report Generation

That’s where Perl began and it’s where it continues to excel. Perl can search through large amounts of text with lots of formatting, extract what you want and spew out a nicely formatted report in a matter of seconds if you’ve got big files of text that you want to read and extract from. This is very easy to do with its regular expressions, compared to other languages.

Examples:

• Extracting email addresses from a large text file.
• Converting raw sales data to a weekly summary report.
• Use to find and replace words in hundreds of files simultaneously.
• Formatting and cleaning CSV files with inconsistent formatting.

2. System Administration

Perl is loved by sysadmins because it can communicate readily with the operating system. Rather than laboriously performing the same routine tasks on a daily basis, they compose a brief script and let it perform. It’s a tool that has been around for a long time and is used by Linux and Unix admins.

Examples:

• Checking disk space and sending out alert when cap. is almost full.
• The ability to add and remove the user accounts in bulk.
• To keep track of running processes on a server.
• Using cron to schedule automatic backups.

3. Web Development

Perl was once the language of the web via CGI scripts. Though not as hip these days, modern projects like Mojolicious and Dancer have managed to enable people to create decent websites and APIs. There are still lots of older sites using it as well.

Examples:

• Developing interactive Web pages using CGI scripts
• Creating REST APIs using Mojolicious
• Running small business websites on the Dancer framework
• Utilizing the form and user logins.Using the form and user logins.

4. Network Programming

Perl also offers good built-in support for sockets and network communications, making it convenient for creating tools that communicate across networks. It has been used by many network engineers for small utilities, instead of programming large utilities in heavier languages.

Examples:

• Writing a simple port scanner:
• Creating a simple chat server.
• A way to determine if a list of servers is online
• Automating changes to network devices’ configuration settings

5. Security Testing

Perl is commonly used by security people for small scripts that are used for testing and analysis. It is easy to write and streamlines text operations when looking through logs and tool output. There are some popular security tools that were originally written in Perl.

Examples:

• Analyzing firewall logs for signs of suspicious traffic or activity.
• Developing personalized scripts for pen testing.
• Analyzing the output from a packet capture tool.
• Verifying passwords with the common weak password patterns list

6. Bioinformatics

This one will catch out many students off-guard. Because DNA and protein data are essentially long strings of text and because Perl is good at handling strings, Perl grew in popularity in the field of research in biology. The BioPerl project made it even easier.

Examples:

• Finding a sequence in DNA that matches a pattern
• Drawing data from gene files to different formats and vice versa
• Data collection from sequencing machines.
• Few small tools made with BioPerl modules.

7. Database Management and Data Migration

Perl can frequently be called when a company has to transfer data between one system and another. It can be plugged into nearly any database via the DBI module, and it can scrub the data on the fly – saving a lot of headaches.

Examples:

• Relocating the old DB to a new DB
• To export MySQL data to CSV or XML files
• Removing duplicate customer records from customer databases
• This process for synchronizing data from one system to another.

8. Finance and Banking Systems

Perl has been in use for years at banks and trading companies, primarily for transaction processing and processing vast amounts of data feeds. Much of that code continues to work well, and remains. It is dependable and re-writing it would be quite expensive.

Examples:

• Running transaction files each day.
• Creating end of day financial reports
• Using two data sources to reconcile accounts
• Dealing with Data Feeds of Stock Markets

9. Automation and DevOps Scripting

Perl can be used effectively as glue between tools. It is used for connecting steps in a build process, deploying code or running tests in teams. It is not the most glamorous of choices just yet, but there are many pipelines in use that still rely on it.

Examples:

• Automated test suites after code change
• Using a web server to deploy files
• Bulk rename or bulk organize files
• Linking various tools in a build pipeline

10. Data Cleaning for NLP and AI

This is where the Perl language for artificial intelligence conversation is needed. Python is the language that’s used for AI, but Perl is still really good for the mundane grunt work. Text must be cleaned before training any of the models and Perl does so quickly.

Examples:

• Cleaning data of special characters and additional spaces.
• Break-up large text files into small files
• Tokenizing Text for LM
• Preparing raw data to make clean training files

Real-World Examples of Uses of Perl Programming Language

It’s easier to believe that Perl is important if you see who has actually used Perl. There are several large names that developed their products using Perl, and even a couple of names today.

1. Booking.com: This is likely the most well-known. The travel giant has always been built in Perl, and continues to be a large part of their backend.

2. BBC: The BBC experimented with Perl for parts of its website and for the vast amount of information flowing through its systems.

3. Craigslist: Craigslist started in Perl, and part of its success because of the fact that it’s very simple, with no frills whatsoever.

4. DuckDuckGo: The search engine’s back end used to be reliant on Perl in its early days. Over the years, they’ve shifted their tech stack, but Perl has been a part of it.

5. IMDb: The movie database originally used a lot of Perl scripts to do the legwork.

Not everything there today is in Perl, some of these companies have shifted parts of their systems to other languages. It definitely got them going, though.

But then there’s ‘legacy code’… There are lots of banks, telecom firms and older businesses with Perl scripts which have been performing for 15 or 20 years. They would be expensive to rewrite and possibly would be destructive to what is not broken. So the code remains and someone needs to maintain it. One of the quiet reasons for the presence of Perl jobs.

Uses of Perl Programming Language for Beginners

For the newcomers, Perl may seem a bit peculiar in the beginning, but it is not as difficult as it’s touted to be. The syntax is pretty loose, there is not much to set up and you can have a working script up and running in a few minutes. In addition, the community is a large one, so if you experience a glitch, there’s sure to be someone else out there who’s gotten it.

Uses of Perl programming language for beginners are predominantly small, practical projects. You don’t have to create an app that’s too big. Use something simple that addresses a genuine little issue, as:

• A file renamer: Rename many photo files with disorganized names at once.
• A log parser: Check a log file and extract only the lines having an error.
• A basic web scraper: extract Title or link from a web page and store it in a file.
• A word counter: Count the number of times each word appears in a text file (a word counter).

Here’s the classic first program, just to see how it looks:

#!/usr/bin/perl use strict; use warnings; print “Hello, World!\n”;

That’s it. Save it as hello.pl, run perl hello.pl and you will see the message. Use strict and use warnings lines may seem superfluous but retain them. They will identify silly mistakes and save you lots of confusion.

A few tips if you’re doing Perl assignments:

• Start small. Once one part is operational proceed to the next.
• Print many times to find out what variables contain.
• Please do not ignore regular expressions. They are of course terrifying, but they’re the best thing about Perl.
• Read back the error messages. They typically let you know the line that is incorrect.
• Do not forget to comment your code, even if only a little. Perl can be a disheveled mess later on.

It is difficult to make Perl code easy to read if you don’t know how.A little carelessness in writing Perl code makes reading it difficult early in life. Of course, if an assignment is stuck and the deadline is getting near, that’s perfectly fine. There are so many students who hit that wall.

Is Perl Still Used in 2026?

Yes, it is, short answer. Perl is not the hot new language that it once was, but it is certainly not a dead language. Perl doesn’t top the popular lists such as TIOBE, but it’s not gone either. It fluctuates about the middle of the list from year to year, so you know that there’s a steady stream of people still using it.

Where does it hold up best? Where the old code works, and no one wants to mess with it. Consider a system administrator, a telecom guy, a banker, and a text-based scripter. Much of the use of the Perl programming language today is in maintaining existing systems and making them work properly, rather than building new ones.

There can also be references to Perl 7 and Raku and it becomes very confusing really quickly. Raku used to be called Perl 6, but it turned out to be its own separate language, so it’s not an upgrade to Perl. A few years ago there was a discussion of Perl 7, but the team did not want to abandon Perl 5 and go down a new road with Perl 7, and so they chose to make incremental enhancements to Perl 5. So, for the time being, Perl is actually Perl 5.

Honestly, Python has acquired a lot of Perl’s old space. It is easy to read, offers plenty of learning materials, and outshines in areas such as AI and data science. There aren’t many new developers using Perl, and there aren’t many positions.

But, is Perl still in use? Yes, absolutely. Don’t think it’s the language that everybody is hiring for, though. Consider it a helpful tool that can help you in some positions.

Perl Language Used for AI: Is It Possible?

Yes, it can be done, but let’s face the facts. Perl isn’t the first language that people choose to write AI in. It’s Python’s spot and it’s not that close. Nevertheless, the notion of the Perl language being used for AI is not entirely a figment of imagination. There are some Perl tools for this, and it’s a little helpful in the process. In fact, this is one of the newer uses of Perl programming language that people are starting to explore.

There are a couple of libraries you should be familiar with:

• PDL (Perl Data Language): This is useful for doing numbers and manipulating large arrays of data, similar to how NumPy is used in Python.
• AI::MXNet: A Perl interface to the MXNet deep learning framework. It enables you to create neural networks and train them, but it’s not much of a busy place these days.
• AI::Categorizer: Useful for simple classification problems; a module for sorting text into categories.

Where Perl really shines is in the prework. To learn from data, it must be cleaned before any AI model can be trained. Consider stripping junk characters, tidying poorly formatted text, splitting large text files, or extracting useful text from larger files. This takes advantage of Perl’s text manipulation and regular expression capabilities, and some teams still use it for this reason, particularly in NLP applications, where text abounds.

So how does it compare to Python? In fact, Python is the winner if it comes to building and training models. Powered by TensorFlow, PyTorch and a large community. The AI libraries for Perl are smaller, and there are not many tutorials if you get stuck.

For the people who are new to the field of AI, begin with Python. However, if you already know Perl or have a lot of text to deal with, it may be a useful data tool at your disposal.

Advantages of Perl Programming Language

Perl has real strengths, and that’s why the uses of Perl programming language have lasted this long. These are the primary ones:

• Fast text handling: Perl is designed for text, so searching, matching and replacing is natural and fast. It provides among the best regular expressions around.
• CPAN modules: These are thousands of pre-made modules for practically any purpose and are available to you. Typically, someone has already addressed your issue.
• Portability: The same script typically works on Linux, Windows and Mac with few or no modifications.
• Flexibility: Perl offers a number of ways of doing things, so you can write your code in a fashion that is comfortable to you.
• Quick scripting: A script that can be useful is written in just a few minutes – ideal for small jobs and deadlines.
• Strong community: Help and old forum answers are readily available.

Limitations of Perl Programming Language

While Perl is useful, it isn’t perfect. There are some disadvantages you need to be aware of when choosing it:

• Hard to read: Perl allows many different ways to write the code, and sometimes that can become messy. A script from another person (or last month’s!) can feel like a jigsaw puzzle.
• Smaller job market: There are much fewer Perl jobs than Python or JavaScript, and they tend to be for maintaining older systems.
• Declining community: There are fewer new developers, and fewer new tutorials, tools and updates appear.
• Weak for modern fields: For AI, data science, and mobile apps, there is much better support for Python and other languages.
• Steeper learning curve for some: Special symbols and shortcuts may take some time to master.

Perl vs Python vs Ruby: Quick Comparison

Don’t know which language is your need? Let’s take a quick look at a comparison side-by-side. These are all strong and the “best” will be dependent on what you are trying to achieve.

Feature	Perl	Python	Ruby
Main use cases	Text processing, sysadmin scripts, legacy systems	AI, data science, web, automation	Web development (Ruby on Rails), scripting
Learning curve	Medium to hard (lots of symbols and shortcuts)	Easy (clean, readable syntax)	Easy to medium (friendly, natural syntax)
Popularity	Low to moderate, mostly legacy use	Very high, one of the most popular languages	Moderate, smaller than it used to be
AI and data science support	Limited (PDL, AI::MXNet)	Excellent (TensorFlow, PyTorch, scikit-learn)	Weak, very few options
Text handling	Excellent, best in class	Good	Good
Job market	Small, mostly maintenance roles	Huge and growing	Moderate, mainly web roles
Code readability	Can get messy	Very clean	Clean and elegant
Best for	Log parsing, text cleanup, old system upkeep	Beginners, AI, general-purpose coding	Building web apps quickly

Career Scope and Learning Roadmap in Perl Programming

Truthfully, nobody is going to hire you to work with Perl because you know Perl. However, this can be the case in certain specific areas and sometimes certain jobs are not as competitive as others.

Jobs where Perl still matters:

• System administrator: There are still lots of servers running Perl scripts for monitoring, backups and daily stuff.
• DevOps engineer: There are older build and deployment pipelines that rely on Perl, and someone must maintain them.
• Legacy code maintainer: Banks, telecom companies and large companies are looking for people who can read and fix old perl code.
• Bioinformatics analyst: There are still many research labs that use Perl for processing DNA and protein data.
• Backend developer: Companies such as Booking.com are still employing Perl developers on the backend.

This is where the uses of Perl programming language transform into actual chances for career. The salary can be quite good, primarily because it is less known, and companies still require it.

A simple learning roadmap:

1. Learn the basics: variables, array, hashes, loop, and conditions. Write small pieces of code each day.
2. Get comfortable with regular expressions: This is the super power of Perl; take real time here.
3. Work with files and text: Read, write and manipulate files. Construct a log parser or word counter.
4. Explore CPAN: Learn how to install and use modules in CPAN. It’ll save you countless hours of your time.
5. Try one framework or area: Web with Mojolicious, Database with DBI, or Biology with BioPerl.
6. Build a few projects: Upload them to GitHub. Even little ones demonstrate to employers you’re an individual who can do things.

One more tip: don’t learn Perl alone. Pair it with Linux, SQL, and maybe some Python. That combination makes you way more hireable than Perl by itself.

Final Thoughts

So, do you think Perl is worth your time? This depends on the kind of thing you’re looking for. Perl is no longer in vogue and Python has gained a great deal of its territory. But the uses of Perl programming language are still very real, from text processing and system scripting to databases, bioinformatics, and keeping old systems running.

A student’s understanding of Perl can provide you with a good foundation in regular expressions and scripting, which are useful in other languages, as well. But don’t think that it’s replacing all that you are learning.

If you’re interested in learning more about the Perl programming language for a project, a job or an assignment, start small, write a little a day and you’ll feel at home in no time. 

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