How to Load CSV Files (Comma-Separated Values) into Python (in under 45 seconds)
Learn how to import CSV files into Python using Pandas—in under 45 seconds! This quick and efficient tutorial shows how to use pd.read_csv() to load .csv files into a Pandas DataFrame for fast data exploration and analysis. Whether you're working with large datasets, financial data, or CSV exports, this guide simplifies the process, making it perfect for Python beginners and data analysts.
✅ What’s Covered:
Importing the Pandas library (import pandas as pd).
Reading CSV files using pd.read_csv().
Displaying data insights using df.head().
Why This Video?
This short tutorial is ideal for anyone looking to boost their Python and Pandas skills quickly. Whether you’re building machine learning models, working in finance, or organizing data, knowing how to read CSV files in Python is a must!
🔗 Related Content:
How to Load Excel Files (.xlsx)
Pandas DataFrame Operations
Python Data Science Basics
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Code from Tutorial:
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import pandas as pd
df = pd.read_csv('content/ETF Data CSV.csv')
df[['Symbol', 'Asset Class]]
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