Description
String Cleaning with pandas 2.0 course. This course teaches effective methods for cleaning and processing text data using the pandas 2.0 library in Python. String cleaning is a necessary step in data analysis, and the course, taught by Professor Seth Berry of the University of Notre Dame, covers a variety of techniques, from basic operations such as text replacement to advanced regular expressions. Topics include using pandas functions and methods, PyArrow backends, text extraction, match and split functions, quantifiers, backreferences, and complex patterns such as lookarounds and boundaries. Speed tests are also reviewed to optimize performance. By the end of the course, you will be able to independently use pandas tools to solve a variety of text data cleaning problems.
What you will learn:
- Using the powerful PyArrow backend in pandas for more efficient string sanitization.
- Conduct speed tests to evaluate the performance of different thread cleaning methods.
- Remove special and unwanted characters from text strings.
- Matching specific text patterns using regular expressions.
- Extracting desired patterns from complex strings.
- Counting the occurrences of specific strings and patterns in data.
- Dividing strings into smaller parts based on specific patterns.
- Create new columns in DataFrames from existing text.
- Find and replace text patterns using regular expressions.
- Using quantifiers to match patterns with a specific number of repetitions.
- Reorganize strings using reverse references.
- Naming cross-reference groups for easier access to matched sections.
- Extract strings using lookarounds to match patterns without including them in the result.
- Use boundaries and sets to more precisely define text patterns.
- Combine and chain pandas string methods to perform complex cleanup operations.
- Practice and improve your regular expression skills through practical challenges.
Who is this course suitable for?
- Data Analysts looking to learn effective methods for cleaning and preparing text data.
- Beginner Data Scientists who want to improve their string manipulation skills using pandas.
- Anyone who works with text data in Python and needs to clean and standardize it.
- Current pandas users who want to take advantage of the new and improved string sanitization capabilities in version 2.0.
String Cleaning with pandas 2.0 course details
- Publisher: LinkedIn
- Instructor: Seth Berry
- Training level: Advanced
- Training duration: 1 hour and 2 minutes
Course topics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
File size
111 MB
