Python for Data Analysis - Python Data Analysis: Working with Time Series in Python - Part 11

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What you'll learn

This course includes

5.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

python data analysis python for data analysis Wes McKinney ipython python functions numpy python numpy pandas python pandas time series

Full Transcript

📚 Get the book "Python for Data Analysis": https://amzn.to/3Kq9W3k 📖 Read online: https://wesmckinney.com/book 🔨 FREE Skillshare 30-day trial: https://skillshare.eqcm.net/5b4ddL 🎬 Playlist Python for Data Analysis: https://www.youtube.com/watch?v=cVSb6-yaYMc Link to book resources (GitHub): https://github.com/wesm/pydata-book ⏱ Timestamps 0:00 - Introduction 1:58 - Date and Time Data Types and Tools 5:29 - Time Series Basics 6:57 - Date Ranges, Frequencies, and Shifting 10:01 - Time Zone Handling 11:19 - Periods and Period Arithmetic 13:18 - Resampling and Frequency Conversion 14:40 - Moving Window Functions 16:30 - Summary