Pandas read_csv() Tutorial: Read CSV in Python (sep, encoding, dtype, usecols)
Learn how to read CSV in Python using Pandas with pd.read_csv() (beginner-friendly, real-world options).
In this tutorial, we load a CSV into a Pandas DataFrame and fix common issues like wrong separators and encoding errors.
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What you’ll learn in this video
✅ Basic usage: pd.read_csv("data.csv")
✅ Preview data quickly with: df.head()
✅ Fix separator issues: sep=";"
✅ Fix encoding errors: encoding="utf-8" and encoding="latin1"
✅ Load only needed columns: usecols=["Name","Age"]
✅ Force correct column types: dtype={...}
✅ Handle missing values while reading: na_values=[...]
✅ Skip extra junk rows: skiprows=2
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