Python tutorial - List comprehensions with Multiple 'Ifs' Explained (Conditionals and Filtering)

Python tutorial on list comprehensions with multiple if statements explained. Learn how to use multiple if statements within a list comprehension, double ifs, and how the conditional logic works. We also program examples with multiple for loops and multiple if statements.

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[AbhinavKumar-dref]

I was literally searching for this. Awesome work in a simple way you have explained I am new to Python was stuck with this. Thank you

[mackymichel]

That is the real Best Ultimate Guide to Python LC

[drivers]

The last three list comprehension videos of yours I just watched makes it really clear. For some reason, in the past, list comprehensions seemed so random, but not anymore!

[MrNess]

I never thought I could find something like this. I'm amazed!😃

[josiahdavid]

Thanks very much for this video series man!!

[rishabhkaul]

@Brendan Metcalfe You are by far the best I have watched in terms of explanation and breaking down each problem statement . Simply amazing !!

I have messaged you on linkedin as well. Please come out with a playlist on the below topics . It will be super helpful- :

1) Numpy, python libraries
2) Pandas
3) Regular Expressions
4) OOP concepts

[manfrombritain]

what i'm getting so far is that "list comprehensions = squashing for loops into 1 line so they are less readable"

[TheLKStar]

The reason the outputs aren't the same at 7:20 is because the first one is a list, the second one is just printing the individual results inside the nested for.

[ElowenFaye]

Hey Brendan, thank you for the video! I tried to solve a problem with it but I'm still stuck (for 4 hours straight) ... May I ask you for advice?
I have a dataframe with several columns. I now want to create a new columns that contains a string ("yes") if 1.) one of the columns (column name: condition) contains a certain string-value ("pictures") and 2.) the float-value of another colums (column name: rt for reaction time) is > 0.5. And if the first column ("condition") contains the same string-value ("pictures") but the other column has a float-value <= 0.5, I want a "no" as a value in my new colum. (I hope the situation is understandable, sorry that it sounds so complicated). What I have so far:
df["new_column"] = ["yes" if i > 0.5 else "no" for i in df.rt] --> but this only contains the condition referring to the reaction time (rt) > or <= 0.5. It does not contain the other condition. But because the other condition refers to another column, I don't know how to write the code. I'd be utterly grateful for any hint how to solve the problem!!!!

[danyar]

How about print((i, f), end=“, “)? This way you might get similar outputs.

[KrazyMO]

I was hoping you were going to include adding unique list items so you would only have one entry per fruit with the number of summed. I don’t know if that can be done in the list comprehension or not.

[vishaljuneja]

which terminal you using and how are you able to get auto completion in it ?

[allanimeworld]

Sir can you please tell me which side was just you visiting in starting where you show us info of list comprehension

[ricardodiaz]

great video, where can I find your code?

[JVenom_]

ahh so its basically creating new sub nested parts when adding an item to the right