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Perl Programming Techniques for EDA

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

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.

Created by EDA Academy

Last update 07/2026

Mode Self-paced

Language English

5.0

(0)

students

Perl Programming Techniques for EDA

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

Created by EDA Academy

Last update 07/2026

Mode Self-paced

Language English

5.0

(0)

students

This course includes

12 modules

68 lectures

210 assessment questions

11.62 hours on-demand video

Access on mobile and laptop

Certificate of completion

12 modules

68 lectures

210 assessment questions

11.62 hours on-demand video

Access on mobile and laptop

Certificate of completion

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

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

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

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.

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.

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.

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.

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.

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 re...