Unlock Python Regular Expressions

Unlock Python Regular Expressions, available at $19.99, has an average rating of 4.7, with 130 lectures, 28 quizzes, based on 530 reviews, and has 4480 subscribers.

You will learn about You will learn the ins and outs of Regular Expressions in Python, from scratch. You will clear the fog on pattern matching and regular expressions once and for all. You will ultimately gain Intermediate to Advanced pattern matching skills in Python. You will get notebooks, quizzes, projects and a PDF cheat sheet to boost your learning. You will have my full support for every course-related question or suggestion. You will have unlimited, lifetime access to the course anytime, on any device. This course is ideal for individuals who are Python programmers, enthusiasts and geeks, who are already familiar with the basics of Python: variables, strings, lists, tuples, indexing. or Junior/Intermediate Python developers and any kind of IT geeks who wish to take their Python programming skills to the next level. It is particularly useful for Python programmers, enthusiasts and geeks, who are already familiar with the basics of Python: variables, strings, lists, tuples, indexing. or Junior/Intermediate Python developers and any kind of IT geeks who wish to take their Python programming skills to the next level.

Enroll now: Unlock Python Regular Expressions

Summary

Title: Unlock Python Regular Expressions

Price: $19.99

Average Rating: 4.7

Number of Lectures: 130

Number of Quizzes: 28

Number of Published Lectures: 130

Number of Published Quizzes: 28

Number of Curriculum Items: 158

Number of Published Curriculum Objects: 158

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

You will learn the ins and outs of Regular Expressions in Python, from scratch.
You will clear the fog on pattern matching and regular expressions once and for all.
You will ultimately gain Intermediate to Advanced pattern matching skills in Python.
You will get notebooks, quizzes, projects and a PDF cheat sheet to boost your learning.
You will have my full support for every course-related question or suggestion.
You will have unlimited, lifetime access to the course anytime, on any device.

Who Should Attend

Python programmers, enthusiasts and geeks, who are already familiar with the basics of Python: variables, strings, lists, tuples, indexing.
Junior/Intermediate Python developers and any kind of IT geeks who wish to take their Python programming skills to the next level.

Target Audiences

Python programmers, enthusiasts and geeks, who are already familiar with the basics of Python: variables, strings, lists, tuples, indexing.
Junior/Intermediate Python developers and any kind of IT geeks who wish to take their Python programming skills to the next level.

Probably the most PRACTICAL Python RegEx course on Udemy.

I am answering all your questions, usually in less than 24 hours.

No slides, no boring theory, no rambling, no chitchat. Just coding!

Quizzes, Exercises, Notebooks, Real-Life Examples and Projects.

Python 3 Regular Expressions PDF Cheat Sheetis included.

A Certificate of Completion is also included at the end.

What others have to say about my courses?

“What an incredible value and learning experience!” by Sean A.

“Excellent material. Kudos to a great instructor with a vast level of creativity.”by Anthony W.

“The instructor is an excellent professional, skillful and engaging.” by Georgios T.

Why would you take this course?

Do you want to polish your Python coding skillswithout spending money on books and boring theoretical courses?

Have you ever been confused by the Regular Expressions topic and wanted a detailed step-by-step learning guide?

Would you like to be able to perform Basic to Advanced pattern matching tasks using the amazing power of Python?

“As a Python beginner, I find this course is concise, easy to understand and structured. Also, Mihai responds to my questions during the course promptly. I highly recommend this training course.”by Johnny Wang

What are the steps you’re going to take from Beginner to Advanced level skills?

Section 1 – Some Initial Thoughts
Section 2 – Regular Expressions Cheat Sheet
Section 3 – Methods and Objects
Section 4 – Metacharacters and Special Sequences
Section 5 – Extension Notations and Assertions
Section 6 – Small Real-Life Projects
Section 7 – PROJECT: Validating User Account Details
Section 8 – Regular Expressions in Excel Spreadsheets: Filtering Employee Data
Section 9 – Regular Expressions in Data Analysis: Filtering HTML Page Data
Section 10 – Final Section

“I can say this man is going on smoothly and perfectly, explaining in the most empirical way.”by Kolapo A.

Important information before you enroll!

Don’t forget you are covered by a 30-day money back guarantee, full refund, no questions asked.
Once enrolled, you have unlimited, 24/7, lifetime access to the course from any device.
You will have instant and free access to any updates that I’m going to add to the course.
You will benefit from my full support regarding any questionrelated to the course content.

“Very thorough course. Includes plenty of details and examples without being boring. Explanations are given at a very practical level.”by Gary Scarr

Let’s get started!

Enroll now and I’ll see you in the first lecture!

Course Curriculum

Chapter 1: Some Initial Thoughts

Lecture 1: Just starting out in programming? Read this!

Lecture 2: Interested in getting certified in Python?

Chapter 2: Regular Expressions Cheat Sheet

Lecture 1: Download the Python RegEx Cheat Sheet

Chapter 3: Methods and Objects

Lecture 1: The 're' module

Lecture 2: The 're' module – Notebook

Lecture 3: Raw strings

Lecture 4: Raw strings – Notebook

Lecture 5: re.compile()

Lecture 6: re.compile() – Notebook

Lecture 7: re.search()

Lecture 8: re.search() – Notebook

Lecture 9: re.match()

Lecture 10: re.match() – Notebook

Lecture 11: re.fullmatch()

Lecture 12: re.fullmatch() – Notebook

Lecture 13: re.findall()

Lecture 14: re.findall() – Notebook

Lecture 15: re.split()

Lecture 16: re.split() – Notebook

Lecture 17: re.sub()

Lecture 18: re.sub() – Notebook

Lecture 19: re.subn()

Lecture 20: re.subn() – Notebook

Lecture 21: group() and groups()

Lecture 22: group() and groups() – Notebook

Lecture 23: start(), end(), span()

Lecture 24: start(), end(), span() – Notebook

Lecture 25: Optional flags

Lecture 26: Optional flags – Notebook

Lecture 27: AttributeError: 'NoneType' object has no attribute

Lecture 28: AttributeError: 'NoneType' object has no attribute – Notebook

Chapter 4: Metacharacters and Special Sequences

Lecture 1: Metacharacters – The dot ( . )

Lecture 2: Metacharacters – The dot ( . ) – Notebook

Lecture 3: Metacharacters – The caret ( ^ )

Lecture 4: Metacharacters – The caret ( ^ ) – Notebook

Lecture 5: Metacharacters – The dollar sign ( $ )

Lecture 6: Metacharacters – The dollar sign ( $ ) – Notebook

Lecture 7: Metacharacters – The asterisk ( * )

Lecture 8: Metacharacters – The asterisk ( * ) – Notebook

Lecture 9: Metacharacters – The plus sign ( + )

Lecture 10: Metacharacters – The plus sign ( + ) – Notebook

Lecture 11: Metacharacters – The question mark ( ? )

Lecture 12: Metacharacters – The question mark ( ? ) – Notebook

Lecture 13: Metacharacters – Greedy vs. non-greedy ( *?, +?, ?? )

Lecture 14: Metacharacters – Greedy vs. non-greedy ( *?, +?, ?? ) – Notebook

Lecture 15: Metacharacters – The backslash ( )

Lecture 16: Metacharacters – The backslash ( ) – Notebook

Lecture 17: Metacharacters – The square brackets ( [] )

Lecture 18: Metacharacters – The square brackets ( [] ) – Notebook

Lecture 19: Metacharacters – Character classes

Lecture 20: Metacharacters – Character classes – Notebook

Lecture 21: Metacharacters – The curly braces ( {} )

Lecture 22: Metacharacters – The curly braces ( {} ) – Notebook

Lecture 23: Metacharacters – The pipe ( | )

Lecture 24: Metacharacters – The pipe ( | ) – Notebook

Lecture 25: Special sequences – A and Z

Lecture 26: Special sequences – A and Z – Notebook

Lecture 27: Special sequences – b and B

Lecture 28: Special sequences – b and B – Notebook

Lecture 29: Special sequences – d and D

Lecture 30: Special sequences – d and D – Notebook

Lecture 31: Special sequences – s and S

Lecture 32: Special sequences – s and S – Notebook

Lecture 33: Special sequences – w and W

Lecture 34: Special sequences – w and W – Notebook

Chapter 5: Extension Notations and Assertions

Lecture 1: Extension notations and non-capturing groups

Lecture 2: Extension notations and non-capturing groups – Notebook

Lecture 3: Named groups and groupdict()

Lecture 4: Named groups and groupdict() – Notebook

Lecture 5: Positive lookahead assertions

Lecture 6: Positive lookahead assertions – Notebook

Lecture 7: Negative lookahead assertions

Lecture 8: Negative lookahead assertions – Notebook

Lecture 9: Positive lookbehind assertions

Lecture 10: Positive lookbehind assertions – Notebook

Lecture 11: Negative lookbehind assertions

Lecture 12: Negative lookbehind assertions – Notebook

Chapter 6: Small Real-Life Projects

Lecture 1: Bookshelf

Lecture 2: Bookshelf – Code

Lecture 3: Bookshelf – Solutions to the exercises

Lecture 4: Phone book

Lecture 5: Phone book – Code

Lecture 6: Phone book – Solutions to the exercises

Lecture 7: Date and time

Lecture 8: Date and time – Code

Instructors

Mihai Catalin Teodosiu • 100,000+ Students Worldwide
Python Developer • Network Engineer

Rating Distribution

1 stars: 2 votes
2 stars: 4 votes
3 stars: 24 votes
4 stars: 170 votes
5 stars: 330 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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