Regex in Python
- Offered byGreat Learning
Regex in Python at Great Learning Overview
Regex in Python
at Great Learning
Duration | 1 hour |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
Regex in Python at Great Learning Highlights
Regex in Python
at Great Learning
- Earn a certificate of completion
Regex in Python at Great Learning Course details
Regex in Python
at Great Learning
What are the course deliverables?
- Regular Expressions in Python
More about this course
- In this Regex in Python course, you will understand how a regular expression is nothing more than a string of characters that defines a pattern
- A regex is an essential tool when you need to match a string to validate an email or password, or even extract data
- In a regular expression, everything is a character. Even a character that represents an empty space ()
- Learn about the Regex objects and go through the hands-on sessions on Regex match objects and methods
- You will learn about various Regex function and their uses, and you will go through the hands-on session on Regex methods
Regex in Python at Great Learning Curriculum
Regex in Python
at Great Learning
Introduction to Regex
Regex Objects
Regex Match Objects Hands-on
Regex Match Methods Hands-on
Regex Functions
Regex Methods Hands-on
Regex in Python at Great Learning Faculty details
Regex in Python
at Great Learning
Shambhavi Gupta
Designation : Content Creator
Description : I have been working in the field of python and data science for the last 1.5 years and trained 60K+ students. I have expertise in topics related to data science like Python programming, Numpy, Pandas, Seaborn, Matplotlib, Plotly, Exploratory Data Analysis(EDA) Tableau and mathematical stuff like Probability and Statistics. I also have expertise in the python programming language where I have worked with numerous libraries for developing apps, developing games, working with GUI's, etc. I have been in the technical content side with respect to data science and python.
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