Perl vs Python: Significant difference between both the language
Perl is a high-level interpreted, general-purpose and dynamic programming language. By Larry Wall, it was developed in 1987. It was first developed for text processing. Like obtaining the necessary data from a designated text file and changing the text file into a distinct form for perl vs python. Perl helps both Object-Oriented and procedural programming.
Perl is a lot alike to C syntactically. And is simple for the users who have knowledge of C, and C++ programming languages. Python is a widely used high-level, general-purpose programming language.
By Guido van Rossum it was originally created in 1991 and developed by Python Software Foundation. It was essentially developed for emphasis on code readability. And its syntax allows programmers to communicate concepts in some lines of code.
Due to its rich support and library. It has wide applications in Desktop Applications, Machine Learning, Web development, etc.
Features of Perl vs Python
Perl Features
It involves important tools to process text to make it compatible. With mark-up languages like XML, HTML.
Perl has simple Object-oriented programming syntax.
It gives a regular expression engine that can convert any type of text.
Several frameworks are written in Perl.
It is a cross-platform language.
Perl can manage encrypted web data including e-commerce transactions.
It is embedded in other systems such as database servers and web servers.
It is simply extendible as it supports 25,000 open source modules.
Perl is open-source software licensed under GNU.
It supports Unicode.
It supports third-party databases which include MySQL,
Oracle and many others.
Python Features
Python learning is easy and also it is simple to use
It is more expressive and means that it is more readable and understandable.
Python can work on various platforms such as Unix, Windows, Macintosh, and Linux.
Python is an interpreted language.
Graphical user interfaces(GUI) generate by using Python.
It supports object-oriented language. Concepts of objects and classes come into existence.
Python can easily integrate with languages like JAVA, C++, C, etc.
Python has a broad library. And gives a rich set of functions and modules for rapid application development.
Comparison between Perl vs Python
Perl
Introduction Perl is a high-level interpreted, general-purpose and dynamic programming language. But some of the successful Perl projects are Bugzilla and CPanel.Also, it was first developed for text processing like obtaining the necessary data from a designated text file. And for changing the text file into a distinct form.
File Extension
To save Perl Scripts the .pl file extension is used. For example document.pl
Whitespaces
It does not care about whitespaces.
Learning
Compared to Python, it is a bit hard to learn.
Focus
Perl emphasizes support for simple tasks such as file scanning and report generation.
Data Types
Some data types held by Perl are Scalars, numeric, string, Hashes, and Arrays.
Statement Blocks
To mark the statement blocks Perl uses braces.
Statement End
Although, in Perl, all statements should end with a semicolon
Regular Expression
Part of the language makes processing text short and easy.
Comment
The statement that began with # will be recognized as a comment. # This is an Inline comment in Perl for documentation in Perl we use= and =cutFor example:=. This is a comment for Perl but it can also be used as documentation also=cut
Python
Introduction Python is a generally used high-level, general-purpose programming language. Because of its rich support and library. It has wide applications in Desktop Applications, Machine Learning, Web development, etc.
File Extension
To save Python Scripts the .py file extension is used. Example: myFile.py
Whitespaces
If whitespaces are not according to Python. Then it deals with whitespaces and shows syntax error.
Learning
Python learning is easy
Focus
Similarly, Python emphasizes support for basic methodologies. Such as data structure design and object-oriented programming.
Data Types
But, some data types included by Python are dictionaries, numeric, strings, tuples, and lists.
Statement Blocks
In the same way, to mark the statement blocks Python uses indentations.
Statement End
It is not required that statements end with a semicolon in Python as it deals with whitespaces.
Regular Expression
Likewise, require to deal with methods and functions for regex
Comment
However, “#” This is an inline comment in Python. Three inverted commas can also be used as documentation or comment. “This is for python and can be used in documentation as well as in comment''
Comments