PERL Systems & Scientific Programming

The PERL (Practical Extraction and Reporting Language) Systems & Scientific Programming course is a hands-on training that will give you a solid understanding and practical knowledge of Perl in order to be able to build any project.

5
17 Enrolled
Beginner

Created by Scientific Programming Team
Last updated Wed, 03-Feb-2021

- INTRODUCTION
  - Introduction
- PERL
  - First Program
  - Data types Preview
  - Conditional Statements
  - Loops
  - Subroutines
  - References
- SCIENTIFIC PROGRAMMING
  - Regular Expressions
  - Match Regular Expression
  - Substitute Regular Expression
  - Transliterate Regular Expression
  - Packages and Modules
- OBJECT ORIENTED PROGRAMMING
  - Object Oriented Programming
  - Inheritance
  - Overriding
  - Perl Project
- SYSTEMS PROGRAMMING
  - Socket Programming
  - Sending Email
  - Process Management
  - Directories
- WEB & SOFTWARE
  - CGI Programming
  - Database
- DOCUMENTATION
  - Embedded Documentation
- PRACTICE TEST
  - Practice Test
- REFERENCES
  - References
Description

The PERL (Practical Extraction and Reporting Language) Systems & Scientific Programming course is a hands-on training that will give you a solid understanding and practical knowledge of Perl in order to be able to build any project.
1. Understand Variables, Strings and Variables
2. Implement Arrays
3. Define Hashes
4. Apply Conditions and Loops
5. Use Regular Expression
6. Implement Subroutines
7. Handle Files
8. Understand Reference
9. Handle Variable Scoping, and Import Modules
This is a beginner level course, where you will learn Perl programming from scratch. As you proceed to the later sections of the course, you will learn some of the advanced concepts in Perl. Although Perl is considered an old programming language, but it has some of the best Text processing capabilities compared to other languages. No prerequisites at all. Previous programming experience could be useful, but not completely required. This is for anyone who is passionate about learning PERL programming, be it Regular Expression for text analysis, CGI for web development, and simple PERL concepts.

Requirements
- No prerequisites at all. Previous programming experience could be useful, but not completely required!
Outcome
- On completion of this course you could write complex PERL programs.
- You could perform advanced text analysis using PERL Regular Expressions, etc.
- Develop various application on PERL for Windows, Linux, and Mac environments.
Instructor Profile

Scientific Programming Team Instructor Teaching 90 students

The Scientific Programming Team helps you to learn the use of scientific programming languages, such as CUDA, Julia, OpenMP, MPI, C++, Matlab, Octave, Bash, Python Sed and AWK including RegEx in processing scientific and real-world data. The teamed is formed by PhD educated instructors in the areas of Computational Sciences.
Student feedback

5

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Reviews (1)
- John DoeStudent
  
  Detailed and hands-on course! Thanks.
  
  Wed, 03-Feb-2021
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