Learn Pandas in Python #8 — Working with Text Data

In this video we learn how to clean and manipulate text data in pandas — one of the messiest parts of real data work. We work with a dataset full of inconsistent casing, extra spaces, and messy entries, and we clean it all up step by step.

Here is what we cover:

The .str accessor and why it is the key to all text operations in pandas
Fixing inconsistent casing with upper, lower, title, and capitalize
Removing extra spaces with strip, lstrip, and rstrip
Chaining multiple .str methods together in one line
Searching inside text with contains, startswith, and endswith
Using text conditions as filters
Replacing and cleaning text with replace, including a first look at regex
Splitting strings into parts with split and expand
Measuring string length with len and counting patterns with count

📌 Full series playlist
https://www.youtube.com/watch?v=RFhzuGfY8b0&list=PLtZX5L5tty4xvzS4DPuRY5JoOVgQQ4lKz

No prior data experience needed. All code runs directly in Google Colab — just open your browser and follow along.

#pandas #python #dataanalysis #pythonforbeginners #googlecolab