Args and Kwargs - Intermediate Python Programming p.25

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Welcome to part 25 of the intermediate Python programming tutorial series. In this tutorial, we're going to cover *args and **kwargs.

The idea behind *args and **kwargs is that there may be times when you have a function and you want to be able to handle an unknown number of arguments. The *args will handle for any number of parameters, and **kwargs will handle for any number of keyword arguments (hence kwargs).

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I like how your videos are direct, simple & yet informative. I've been taking Python, and this is by far the best explanation of args & kwargs I've ever seen.

MoeCodes

Thank you so much. A lot of videos on this topic assume a prior level of understanding, and dive into showing you without explaining or drawing analogies. I found the lists/dict comparison very useful. 10/10!!

sera

Iv been seeing *args and **kwargs all over the place not knowing what to make of them. Thanks so much for making an easy to understand video

sdr

Thank you for this. I never quite understood this while I was learning the basics, but now that I need it, you made it very clear. :)

carlosfabila

hey man just wanted to say I happened to come across this video and it really helped me get a better understanding of args and kwargs in python. im a beginner to coding/programming (learning online self taught) taking a couple courses on UDEMY for python, but I was searching for more explanations/examples and thats when I saw this video. helped me gain a better idea of how to use them in functions and what the purpose was. just subscribed and going to check out more content of yours

ashanlingam

@9:15 Is using str(x) when also using format redundant?

johnnysim

I just realized if u weren't here I was still playing with (def somefunc(): return 'blah blah blah') -, -
Thanks for your amazing tutorials

alirezaayinmehr

Args and kwargs sounds like a currency they made up in futurama

tielessin

Hello Harrison, just a quick observation. I notice u write this statement a lot
import matplotlib.pyplot as plt
from matplotlib import style
style. use('ggplot')

But u can really shrink the imports into one like like this:
from matplotlib import pyplot as plt, style

Ps: I love ur tutorials. lots of fun + learning 👍

victor-iyi