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LinkedIn Learning

String Cleaning with pandas 2.0

via LinkedIn Learning

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Overview

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Discover the fundamentals of string cleaning with pandas 2.0, the open-source library for the Python programming language.

Syllabus

Introduction
  • Cleaning strings with pandas
  • What you need to know
1. Foundations for String Cleaning
  • Using the PyArrow backend
  • Testing speed
  • Removing special characters
  • Matching patterns
  • Extracting patterns
  • Counting strings
  • Splitting strings
  • Creating new columns from text
2. Taking Action in pandas
  • Finding and replacing patterns
  • Using quantifiers
  • Reordering strings with backreferences
  • Naming backreference groups
  • Extracting strings with lookarounds
  • Using boundaries and sets
  • Chaining pandas string methods
  • Regular expression golf
Conclusion
  • Advancing regular expressions

Taught by

Seth Berry

Reviews

4.8 rating at LinkedIn Learning based on 5 ratings

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