Perl Programming Techniques for EDA

Perl scripting for EDA automation: data handling, regex, file I/O, and reusable modules

Instructor: EDA Academy
CourseAug 05, 2026All LevelEnglish

Learn practical Perl for EDA-style automation. Build clean scripts with safe pragmas, strong data structures, and reliable control flow. Master file and stream I/O, regex-driven text processing, filesystem operations, and reusable packages to support real engineering workflows.

5.0
1students

This offering includes

  • 12 modules
  • 68 lectures
  • Access on mobile and computer
  • Certificate of completion
  • 11.63 hours on-demand video
  • 865.7 KB downloadable content
  • 210 Quiz questions

What you'll learn

Utilize Perl Programming Basics in EDA Contexts
Use Scalar Variables for Numeric, Logical, and String Processing in Perl
Manage Arrays, References, and List Processing Functions in Perl
Work with Hash Data Structures and Key Value Access in Perl
Apply strict, warnings, and Module Loading Techniques in Perl Scripts
Understand Conditional Statements and Loop Structures for Program Flow in Perl
Handle Variable Scope, Parameters, and Context in Perl Subroutines
Implement File Input Output and Stream Data Handling in Perl
Analyze and Apply Regular Expressions for Pattern Matching and Text Processing
Build and Manage Perl Modules with Packages and Symbol Exporting
Perform File and Directory Manipulation Using Perl Built-in Functions

Who is this course for

CAD engineers who automate EDA runs, manage flow scripts, and parse tool logs.
Physical design engineers who want faster scripting for file and log processing.
Verification engineers working with large text outputs and pattern-based checks.
RTL designers who need lightweight automation for builds, checks, and reports.
DFT engineers who script repetitive analysis and structured data extraction tasks.
CAD flow developers building reusable utilities for teams across multiple projects.
Engineers who already use shell scripts and want stronger text processing power.
Team leads who want consistent scripting standards across CAD automation code.
New CAD hires who must read and modify existing Perl automation scripts quickly.
Engineers who want to build reusable Perl packages and manage module imports.

Requirements

Basic understanding of programming ideas such as variables, loops, and conditions from any language.
Familiarity with basic command-line tools commonly used in engineering environments.
Ability to read simple text files such as logs, reports, or configuration files.
No prior Perl experience is required, but willingness to learn scripting concepts is important.
Motivation to improve engineering productivity through scripting automation.

Description

Perl has long been recognized as one of the most practical scripting languages for automation, data processing, and tool integration. In many engineering environments, especially those dealing with complex design flows, engineers frequently work with large collections of files, structured text data, and command-line tools. Efficient scripting becomes essential for improving productivity and simplifying repetitive tasks. Perl provides powerful features that make these tasks easier, including flexible text processing, strong support for automation, and a rich set of built-in tools for managing data and files. A clear understanding of Perl begins with its core execution model and scripting workflow. Learning how Perl scripts run, how they interact with the operating system, and how command-line tools support development creates a strong foundation for writing reliable scripts. Important programming habits such as writing readable code, using debugging tools, and understanding basic input and output behavior also play an essential role in building effective scripts that can be used in real engineering environments. Handling data is another central capability of Perl. Scalar values represent numbers, strings, and logical states, while arrays and hashes provide flexible ways to organize collections of data. These data structures allow programmers to store lists, maintain key–value relationships, and process information efficiently. Built-in operators and functions make it possible to manipulate strings, perform numeric calculations, and transform data in ways that support complex automation tasks. Control structures allow scripts to make decisions and repeat operations based on changing conditions. Conditional statements and loop mechanisms provide the ability to manage program flow and process data sets of different sizes. Subroutines help organize logic into reusable units, improving clarity and maintainability. Proper management of parameters, variable scope, and function design enables scripts to grow from small utilities into structured programs that remain easy to understand and modify. Working with files and the filesystem is a major part of automation scripting. Programs often need to read large text files, generate reports, or interact with command-line tools. Perl offers powerful file handling capabilities, including flexible filehandles, stream processing, and communication with external programs through pipes. Directory operations, file tests, and pattern-based file matching also allow scripts to navigate and manipulate large collections of files effectively. Text processing remains one of Perl’s strongest features. Regular expressions provide a powerful way to search, extract, and transform information within strings. Through pattern matching, substitution, grouping, and modifiers, complex text manipulation tasks can be performed with concise and expressive code. This capability is particularly valuable when processing logs, configuration files, and structured design data. Large scripts and collaborative environments require clear organization and reusable code. Perl supports this through packages, libraries, and structured code components. Libraries can be installed from global repositories or written locally to share functionality across projects. Namespace management, symbol exporting, and controlled code loading help maintain clarity as programs grow in size and complexity. Together, these features allow engineers to build reliable scripting tools that integrate smoothly into larger workflows.

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