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**BaDshaH** · 09-21-2023, 03:50 AM

[Image: fc08d6d88ca07b80885afe14f3f7b604.jpg]

Published 9/2023
Created by UnicAI Support
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 19 Lectures ( 1h 26m ) | Size: 340 MB

Learn Regex from Scratch, Master Pattern Matching, Data Extraction, and Advanced Techniques with Hands-On Exercises

[b]What you'll learn[/b]
Understand the fundamentals of regular expressions, including the syntax, character classes, quantifiers, and anchors.
Learn how to use the re module in Python to compile and execute regular expressions, including how to match and search for patterns, replace text, and more...
Explore advanced regular expression concepts, such as grouping and capturing, lookahead and lookbehind assertions, backreferences, and possessive quantifiers.
Learn best practices for writing efficient and readable regular expressions, including how to avoid common pitfalls.
Apply regular expressions to a final project text analysis tool, and gain practical experience using regular expressions in a real-world context.

[b]Requirements[/b]
Basic knowledge of Python programming

[b]Description[/b]
Regular expressions are a powerful tool for processing and manipulating text. In this comprehensive course you will learn how to use Regular Expressions to their full potential, allowing you to efficiently search, match, and replace text in a variety of applications.This course is designed for beginners and intermediate learners, whether you're just starting your coding journey or already have some Python experience. We'll provide you with a structured learning path, practical examples, and hands-on exercises to ensure that you not only grasp the concepts but also gain the confidence to use Regular Expressions effectively in your projects.We'll start with an introduction to Regular Expressions, covering the basic syntax and common patterns matched by Regular Expressions. You'll then dive into using Regular Expressions, including character classes, special characters, quantifiers, and anchors.Next, you'll explore Python's re module, a powerful toolkit for working with Regular Expressions. You'll learn how to compile Regular Expressions, match patterns, search for patterns, and replace patterns, all while gaining practical, hands-on experience.As you progress, the course delves into advanced Regular Expression concepts, including grouping and capturing, lookahead and lookbehind assertions, backreferences, subroutines and recursion, possessive quantifiers, and Unicode and internationalization.Beyond the technical aspects, this course emphasizes best practices for writing efficient and readable Regular Expressions and offers invaluable tips for testing and debugging.To apply your newfound knowledge, you'll undertake a project that utilizes Regular Expressions. This could involve web scraping, text processing, or another real-world application.By the end of this course, you'll have a deep understanding of Regular Expressions, equipping you to tackle complex text processing tasks with confidence. Join us on this journey to become a Regular Expressions master!

Who this course is for
Data analysts or data scientists
Anybody who works with text data and wants to learn how to use regular expressions to improve their productivity and efficiency in manipulating text.
Students or researchers in the fields of linguistics or natural language processing
Business analysts or marketers
NLP practitioners

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