Regular expression is an important notation for specifying patterns. Each pattern matches a set of strings, so regular expressions serve as names for a set of strings. Programming language tokens can be described by regular languages. The specification of regular expressions is an example of a recursive definition. Regular languages are easy to understand and have efficient implementation.

There are a number of algebraic laws that are obeyed by regular expressions, which can be used to manipulate regular expressions into equivalent forms.

There are many courses and tutorials where they introduce complicated concepts but missing simple regular expressions, which need to be embedded in DNA of a programmer.

This course will assist you from basics and projects we add incremental based on the feedback of the students.

Requirements

• Basic Python 3 knowledge is required.

• You need Python version 3.8 or later.

• Windows / Linux / MacOS operating system.

  
  

In this course, we will start by explaining the basic concepts and environment setup.

Later, we will start with small examples and related code.

Regular expressions have a reputation for being gnarly, but that all depends on how you approach them.

There is a natural progression as simple as this: \d

Then at the end, we will refer to the daily use cases and different projects.

With the help of Regular expressions you can solve many complex situations in a simple way. So, let's get started.