Python Regular Expressions
This is a sweet and short course intended to get you started with Scientific Python Regular Expressions, RE module. It assumes that you have basic Python skills.
- 101 Enrolled
- Intermediate
- Created by Scientific Programming Team
- Last updated Mon, 18-Jan-2021
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INTRODUCTION
- Introduction Preview
- Regular expressions patterns Preview
- Quiz # 1 - RegEx patterns quiz
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CLASSROOM RESOURCES
- Join Live! Preview
- PDF E-Book
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PYTHON REGEX FUNCTIONS
- Python regex match Preview
- Python regex search
- Python regex match vs. search functions
- Python regex grouping
- Python regex substitute
- Python regex split
- Python regex find all occurrences
- Python regex compile
- Python string finditer
- Greedy and non-Greedy matching
- Python regex lookarounds
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HANDS-ON PROJECTS
- Fun with DNA sequences!
- Python HTML parsing
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INTRODUCTION
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Description
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 goals are: - 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
- Challenge you with coding exercises and quizzes; and
- Beginner friendly video lectures to explain the basic REGEX concepts.
This is a short 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 should get you going with Python Regex in less than 30mins.
Requirements
- You should have some basic Python programming skills.
- It is a self-learning course with all Linux environtments provided.
Outcome
- Students who want to learn regular expressions to improve their career prospects
- Scientific researchers who want to add Python's REGEX tools to their bag of tricks
- Journalists who want to polish their reporting by analyzing publicly-available datasets
- Anyone who wants to deal with Big Data
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Instructor Profile
The Scientific Programming Team helps you to learn the use of scientific programming languages, such as CUDA, Julia, OpenMP, MPI, C++, Matlab, Octave, Bash, Python Sed and AWK including RegEx in processing scientific and real-world data. The teamed is formed by PhD educated instructors in the areas of Computational Sciences.
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Student feedback
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COURSE DISCORD
Python Regular Expressions
This is a sweet and short course intended to get you started with Scientific Python Regular Expressions, RE module. It assumes that you have basic Python skills.
$5 $25
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Reviews (2)
Good course!