*args and **kwargs - what are they, and how are they different?

Python functions often have parameters named *args and **kwargs, which seem to have special or magical properties. What are these, what do they do, and when would I use them? In this video, i go through these parameters step by step, giving you clear examples of when and how to use them.

[@Anonymous_it_is]

This is a very underrated channel. A gem indeed, thanks much for sharing your valuable knowledge:)

[@ReuvenLerner]

Thanks so much!

[@ReynoldChua]

True. His explanation of concepts makes it easy to understand and not boring. 👍🏻

[@ReuvenLerner]

​@@ReynoldChua Thanks so much!

[@eikm31]

Finally a channel focused on pandas and Python!!! love it

[@ReuvenLerner]

Happy to have you here! I plan to start releasing some more videos in just a few days...

[@rodelias9378]

Great explanation! Thanks a lot!

[@ReuvenLerner]

You are welcome!

[@OmnivorousPancake]

Thanks for the concise explanation

[@ReuvenLerner]

My pleasure!

[@Scooterboy_and_others109]

At 10:06 in row # 18, what happens if you pass myfunc(10, 20, 30, 40, a=100, b=200, c=300, 50,60,70, d=400, e=500) Will it fail?

[@user-fn5rx3gp2t]

can u make a video about pandas window func?

[@ReuvenLerner]

Great idea -- I'm hoping to do more videos in the coming week or two, and I'll add it to the list of subjects!

[@user-fn5rx3gp2t]

hi thx for the great info's there is a question : what is the difference between crosstab and pivot table you know crosstab takes all the parameters in pivot_table so what is the difference

[@ReuvenLerner]

That's really more of a Pandas question than a Python question... but basically crosstabs let you take two categorical columns; one becomes the index and the other becomes the columns, and the values are the number of times each combination occurs. A pivot table also has rows and columns, but the values can be more sophisticated, using any aggregation method.