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Explore My top 25 pandas tricks with 280,947 views, 11,072 likes, and 654 comments. Experience the impact of this video content that has captured audience attention.

You're about to learn 25 tricks that will help you to work faster, write better pandas code, and impress your friends. These are the BEST tricks I've learned from 5 years of teaching Python's pandas library. Don't miss the BONUS at the end of this video! TRICKS: 0:00 Introduction 0:43 1. Show installed versions 1:20 2. Create an example DataFrame 2:22 3. Rename columns 3:47 4. Reverse row order 4:36 5. Reverse column order 5:01 6. Select columns by data type 5:40 7. Convert strings to numbers 6:55 8. Reduce DataFrame size 8:15 9. Build a DataFrame from multiple files (row-wise) 10:00 10. Build a DataFrame from multiple files (column-wise) 10:45 11. Create a DataFrame from the clipboard 11:50 12. Split a DataFrame into two random subsets 12:57 13. Filter a DataFrame by multiple categories 13:52 14. Filter a DataFrame by largest categories 14:42 15. Handle missing values 15:57 16. Split a string into multiple columns 16:59 17. Expand a Series of lists into a DataFrame 17:39 18. Aggregate by multiple functions 18:41 19. Combine the output of an aggregation with a DataFrame 19:56 20. Select a slice of rows and columns 20:52 21. Reshape a MultiIndexed Series 22:04 22. Create a pivot table 23:01 23. Convert continuous data into categorical data 23:56 24. Change display options 24:47 25. Style a DataFrame 26:14 Bonus. Profile a DataFrame DOWNLOAD the Jupyter notebook: https://github.com/justmarkham/pandas-videos WATCH my introductory series, Data Analysis with pandas: https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y JOIN the "Data School Insiders" community: https://www.patreon.com/dataschool LET'S CONNECT! - Email Newsletter: https://www.dataschool.io/subscribe/ - LinkedIn: https://www.linkedin.com/in/justmarkham/ - Twitter: https://twitter.com/justmarkham - Facebook: https://www.facebook.com/DataScienceSchool/ - YouTube: https://www.youtube.com/dataschool?sub_confirmation=1

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