BRILLIANT LEARNERS| 3.5 HRS OF PYTHON REGEX VIDEOS | QUIZZES | FIVE STARS ⭐⭐⭐⭐⭐

Python + Regex? Many of you do not find this combination easy, which partly happens because of the Python's obfuscated regex documentation too! In this course, to make your life easy, we have used some real-world examples. The course goals are to: Teach you how to use the Python regular expressions (re) module and relevant functions by running interactive examples; Educate you to deal with projects with real world data examples (e.g., pdf and web scraping, more coming soon!); and Challenge you with learning tasks and quizzes. You will learn:

Regex in Python

• History of Regular Expressions

• The re Module

• How to Import re.search()

• First Pattern-Matching Example

• Python Regex Metacharacters

Metacharacters Supported by the re Module

• Metacharacters

• Escaping Metacharacters

• Anchors

• Quantifiers

• Grouping Constructs and Backreferences

• Lookahead and Lookbehind Assertions

• Miscellaneous Metacharacters

Modified Regular Expression Matching With Flags

• Supported Regular Expression Flags

• Combining <flags> Arguments in a Function Call

• Setting and Clearing Flags Within a Regular Expression

PYTHON NOTEBOOK & PDF COURSE COMPANIONS

We have included the python notebook used in this course. A PDF documentation of the whole course has been added to the first section.

LIVE CLASS SERIES!

Based on your earlier feedback, we are introducing a Zoom live class lecture series on this course through which we will explain different aspects of the Python and REGEX with Data Scraping. Live classes will be delivered through the Scientific Programming School, which is an interactive and advanced e-learning platform for learning scientific coding.

INTERACTIVE PLAYGROUNDS

This course comes with the first-ever online CUDA programming playgrounds. Students purchasing this course will receive free access to the interactive version of this course from the Scientific Programming School (SCIENTIFIC PROGRAMMING IO). Instruction are given in the bonus content section.

This course should be pretty quick and easy to complete. However, it assumes that you have basic Python skills (see the other Python courses on this platform). This course is a core component of the 'Learn Scientific Programming' project.