Functions in Python | Python for Beginners

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In this series we will be walking through everything you need to know to get started in Python! In this video we learn about Functions in Python.
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0:00 Intro
0:36 Syntax of Function
1:40 Arguments in Functions
3:13 Multiple Arguments
4:29 Arbitrary Arguments
7:43 Keyword Arguments
9:03 Arbitrary Keyword Arguments
12:10 Outro
All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for

Опубликовано:

2 июн 2024

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Комментарии : 29

@danielsamuel3406 Год назад

Awesome kudos Sir. Thanks for your time to impact the new generation of data analyst.

@limitlesschidera Год назад

I love this Python series Alex. I was so happy knowing you kick-started it on Twitter. I pray you continue it and dive deeper as to how we can apply it in Software engineering or Data Analysis ♥️

@Major_Data Год назад

My man Alex putting the "Funk" back in Python Functions... 🎶

@Major_Data Год назад

Yeah, I liked and responded to my own comment. Say something. You won't.

@AlexTheAnalyst Год назад

🤣🤣

@CaringEarth Год назад

I Have just started my data analysis journey

@xenophone2006 Год назад

Nice video, Alex! I never even heard of arbitrary functions before. One small nitpick...you might want to put in how to use functions with default parameters too.

@salemhaddady5429 Год назад

Keep up the great knowledge 👍

@augustineedet3198 Год назад

Thanks sir.... you're a genius 💕

@CaringEarth Год назад

Hi I'M Francis and i really like your videos i consider you as amentor

@RK-wf7re Год назад

Awesome!!!Great content indeed. By the way I expected few videos on pandas , numpy, mathplotlib as well..As they also primarily need for data analysis.

@XB_HaidyX 5 месяцев назад

Functions and loops always pissed me off but your courses are amazing and I cleared these topics easily. Thanks a lot Alex!

@elphasluyuku4167 11 месяцев назад

What i like about your channels is that you show us if and when you run into errors Showing that they are normal and we should not feel bad when encountering them

@Minorole 7 месяцев назад

if you are getting into data/programming field, don't be afraid of errors, they are everywhere

@regankyeyune1402 Год назад

Hello Alex... Thanks alot for these videos. When do we get a playlist on how to carry out a full data analysis with python

@JH-py9wf Год назад

At 6:31, is the function essentially skipping anything other than 5 & 6 from the tuple? I'm assuming number[0] and number[1] is referring to the item that matches that index in the tuple.

@javiernunez6106 Год назад

Great video Alex, but there`s something I didn`t fully understand. What`s the difference between using *args and **kwargs? In which context would you use one or the other one? Thanks and keep up the grat work !

@jithinkarikombil Год назад

*args means we can pass any arbitrary number of parameters only(5,6,7,8,) **kwargs means we use any arbitrary number of keywords which are assigned values I guess?

@uchindamiphiri1381 6 месяцев назад

I think in *args we can pass many parameters as we wish to perform the operation where the *kwargs is like using it to have a full control so that we wont be limited in performing our operations. I think *args can be used when we have more data and we want to perform something out of there

@dragoneer121 11 месяцев назад

How are arbitrary arguments different to pointers in other languages like C?

@enkaysodyssey5694 Год назад

Hello Mr Alex. I was going through your video of two years ago about SQL Basics Tutorial For Beginners. I ran into problems at 5.37 minutes. You said that the red underlines could be removed by pressing CONTROL SHIFT ????? I didn’t get the last part. Kindly put me through. Thanks for the video. Great content

@AlexTheAnalyst Год назад

Haha totally different video, but to answer it - ctrl +shift + R will refresh your SQL Server and recognize the tables you added

@enkaysodyssey5694 Год назад

@@AlexTheAnalyst Thank you so much. I appreciate this. I just started learning SQL and I got stuck there. I am grateful for the quick response sir.