How to Load XLSX Files (Excel Files) into Python (in under 60 seconds)

Master the basics of importing Excel files into Python using Pandas—all in under 60 seconds! In this short and powerful tutorial, you'll learn how to use pd.read_excel() to effortlessly load .xlsx files into a Pandas DataFrame for quick analysis and data manipulation. Whether you’re working with financial reports, datasets, or any Excel-based data, this guide is the fastest way to get started.

✅ What’s Covered:

Importing the Pandas library (import pandas as pd).
Loading Excel (.xlsx) files into Python with pd.read_excel().
Displaying the first few rows of data with df.head().
Why This Video?
Perfect for beginners or analysts who want a fast and beginner-friendly way to read Excel data into Python for data analysis or visualization projects.

🔗 Related Content:

Python for Finance Tutorials
Excel to Pandas Quick Tricks
Pandas DataFrame Operations
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Code from Tutorial:
***
import pandas as pd

df = pd.read_excel('content/ETF Data XLSX.xlsx')

df['Symbol']
***

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