The Complete Regular Expressions Course with Exercises

The Complete Regular Expressions Course with Exercises, available at $59.99, has an average rating of 4.25, with 61 lectures, based on 801 reviews, and has 10067 subscribers.

You will learn about Easily work with Complete Syntax of Regular Expressions Have better understanding of Regex topics. Create easy and complex regular expressions Work with any supported Regexp Engine Increase code Optimization Proudly stand in Market This course is ideal for individuals who are Beginners or Back-End developers or Data Science Aspirants It is particularly useful for Beginners or Back-End developers or Data Science Aspirants.

Enroll now: The Complete Regular Expressions Course with Exercises

Summary

Title: The Complete Regular Expressions Course with Exercises

Price: $59.99

Average Rating: 4.25

Number of Lectures: 61

Number of Published Lectures: 61

Number of Curriculum Items: 61

Number of Published Curriculum Objects: 61

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

Easily work with Complete Syntax of Regular Expressions

Have better understanding of Regex topics.

Create easy and complex regular expressions

Work with any supported Regexp Engine

Increase code Optimization

Proudly stand in Market

Who Should Attend

Beginners

Back-End developers

Data Science Aspirants

Target Audiences

Beginners

Back-End developers

Data Science Aspirants

In today’s world we have to deal with a lot of data coming from different sources.? Data from social media , blogs , companies anything you name.? ?And for a developer its a hell of job for you to work only with relevant data whether you are searching a database, validating user inputs on forms or even in the process of building a website. And this is the place where RE can make your work a lot easy,.?

?Knowing Regex, how to use regular expressions effectively is a valuable skill that can quickly take your skill-set to ?top. Logic in programming language requires a long?coding work but regular expressions can do the same job within 2 to 3 lines.?Regular expressions are such an incredibly convenient tool, available across so many languages that most developers will learn them sooner or later.

RE act like a filter, and they will filter only relevant data which programmer?asked for. So, They can save your time, reduce your coding work and increase your productivity.

? That’s why, RE is a must skill for back-End developers and Data Scientists,?

In this course we will look into RE as a whole because they are supported in every Programming language and Unix based systems.

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Course Road-Map

1. Setting up the environment

2. Regular expression basic syntax

3. working with simple text, characters, numbers

4. Quantifiers and Repetitions

5. Greedy and Lazy Approaches

6. Learning Groups

7. Advance Topics?

8. Group Capturing

9. Back-References

10. Assertions with all types

11. All Exercise files

12. Project

Regular Expressions for?Names

?Regular Expressions for?Email

?Regular Expressions for?Website URL

?Regular Expressions for?matching?IP Addresses

?Regular Expressions for?Dates

?Regular Expressions for??Times

?Regular Expressions for??Postal Codes

? Regular Expressions for?matching?credit card numbers?

?Regular Expressions for?creating strong?Passwords?

If you are a complete beginner or want to take your skills at the next level this is the right course for you.

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So, learn RE and tell others that you know how to work with texts easily better? than anyone else with the power of RE. Feel free to preview this course . I will see you inside.

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This course?is for?complete beginners?and for those who have some knowledge of Regular Expressions.

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Course Curriculum

Lecture 1: Course

Lecture 2: Dont be this guy

Chapter 1: Establishing Environment

Lecture 1: What is Regular Expression

Lecture 2: RE Engines

Lecture 3: RE Offline Engines

Lecture 4: RE Online Engines

Chapter 2: All about Characters

Lecture 1: Basic Syntax

Lecture 2: Literal Characters

Lecture 3: Modes

Lecture 4: Meta Characters

Lecture 5: WildCard

Lecture 6: Character Set

Lecture 7: Character Ranges

Lecture 8: Restricting RE

Lecture 9: Escaping Meta Characters

Lecture 10: Escaping Sets

Lecture 11: Ending Chapter

Chapter 3: Quantifiers and Repetitions

Lecture 1: Quantifiers and Repetitions

Lecture 2: Limiting Repetition

Lecture 3: Greedy Expressions

Lecture 4: Lazy Expressions

Lecture 5: Greedy Lazy Testing

Chapter 4: Groups

Lecture 1: Groups

Lecture 2: Alternation

Lecture 3: Nested Alternation

Lecture 4: Anchors

Lecture 5: Another Anchors Example

Lecture 6: Other Alternative Anchors

Lecture 7: Word Boundaries

Chapter 5: Advance Topics in Groups

Lecture 1: Capturing and Back-references

Lecture 2: Capturing and Back-references Examples

Lecture 3: Application

Lecture 4: Non Capturing Groups

Chapter 6: Assertions

Lecture 1: Look Around Assertions

Lecture 2: Positive Look Ahead Assertions

Lecture 3: Positive Look Ahead Assertions Example 1

Lecture 4: Positive Look Ahead Assertions Example 2

Lecture 5: Negative Look Ahead Assertions with Example

Lecture 6: Look Behind Assertions types with Examples

Lecture 7: Uni-Codes

Chapter 7: Projects

Lecture 1: All Project Expressions files

Lecture 2: Names

Lecture 3: Name Exercise

Lecture 4: Email

Lecture 5: Email Exercise

Lecture 6: URLs

Lecture 7: Web Address URLs Exercise

Lecture 8: IP Addresses

Lecture 9: IP Exercise

Lecture 10: Dates

Lecture 11: Date Exercise

Lecture 12: Times

Lecture 13: Time Exercise

Lecture 14: Postal Codes

Lecture 15: ZIP Code Exercise

Lecture 16: Credit Crad Numbers

Lecture 17: CCN Exercise

Lecture 18: Passwords

Lecture 19: Password Exercise

Chapter 8: Last

Lecture 1: Bonus Lecture

Lecture 2: For more

Instructors

Jazeb Akram
Data Scientist

Rating Distribution

1 stars: 8 votes

2 stars: 27 votes

3 stars: 90 votes

4 stars: 314 votes

5 stars: 362 votes

Frequently Asked Questions

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