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0:12:08
What Pandas users should know about NumPy 2.0 and dtypes
0:08:21
Search-and-replace Pandas values with 'where' and 'mask'
0:08:37
Understanding and using idxmin/idxmax in Pandas
0:02:20
My new book, Pandas Workout, will make you more confident and fluent with Pandas
0:06:55
Advanced unpacking in Python 'for' loops
0:09:49
Sorting a mix of letters and numbers in Python
0:10:07
The new case_when method in Pandas 2.2.0
0:18:17
Method chaining in Pandas
0:08:45
Five mistakes companies make teaching Python to their staff
0:09:04
Selecting rows in Pandas using .loc and lambda
0:08:23
Boolean indexing in Pandas made simple
0:06:01
Using | in Pandas? Consider the 'isin' method instead
0:16:50
The six most important read_csv arguments in Pandas
0:08:24
Data selection in Pandas with 'filter'
0:09:13
Why you'll love Jupyter Notebook 7
0:10:16
NaN vs. NA — understanding Pandas nullable types
0:05:05
One Python function, three different errors
0:11:27
Bang! Unix shell magic inside of Jupyter
0:07:33
Magic commands in Jupyter and IPython
0:35:24
ChatGPT wrote Pandas code to analyze US debt. Was it any good?
0:20:20
ChatGPT + Noteable (Jupyter) = Mind-blowing!
0:02:07
Finally! Pandas exercises that aren't boring: Bamboo Weekly
0:06:32
Stop using inplace=True in Pandas!
0:07:04
Finding text patterns in Pandas with regular expressions
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