Working with Date and Time in Pandas | Data manipulation with pandas
In this video, we’ll show you how to handle date and time data using Python’s pandas library. This is an important skill for tasks like tracking trends, analyzing sales, or managing deadlines.
📌 What You’ll Learn:
✅ How to convert text to datetime using pd.to_datetime().
✅ How to extract year, month, day, and weekday from a date.
✅ How to get time details like hour, minute, and second.
✅ How to calculate the number of days between two dates.
Dataset: https://drive.google.com/file/d/1ggeu...
💡 Why It’s Important:
Dates and times are common in data analysis. By learning these techniques, you can better analyze trends, compare dates, and prepare your data for further analysis.
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