r0f1

https://r0f1.github.io/ - I do statistical visualizations.

I've created my own list, which is a more condensed version: https://github.com/r0f1/linuxhelp

Thanks, good idea. I will add that one.

Looks nice. I've got my own cheat sheet, if anyone is interested: https://github.com/r0f1/linuxhelp

Is there something similar for Python? They are releasing new Python standards with a crazy fast speed. Would be really helpful for me.

What about this one? This one was mentioned a couple of weeks back and is really funny.

https://news.ycombinator.com/item?id=28758106

Obligatory link: https://shattered.io/

Thanks for this explanation :)

Question from an unknowing European: Lobbying on federal legislation is something that is allowed?

Ah I did not know that. Thanks :)

I know this is off-topic, but does this website not look eerily familiar to dev.to?

Nice presentation. I have made my own list, if anyone is interested: https://github.com/r0f1/linuxhelp

Vienna is the most livable city 10 times in a row now!

I recently saw https://covid.bio/, which does not fulfill all requirements but is still pretty helpful.

How does this compare to Pandas?

Are there maybe also videos for this lecture?

Nice book, and already included in this awesome list: https://github.com/r0f1/datascience.

Is this a new thing? I thought that was possible in Python already. Look at the numpy documentation: https://docs.scipy.org/doc/numpy/reference/generated/numpy.m.... There, they already use the / for positional-only arguments.

That it is 90% cleaning, and only 10% modeling. Never had a dataset that was ready to use like the ones on Kaggle. Most of the time I get a mixture of Excel Sheets with weird formatting, .csv files and SQL dumps that have questionably encoding, and lots of unnecessary information and missing values.

Why is Snapchat (Snap Inc.) among the top companies when you move the slider? Since the beginning, Snap Inc. has had a clear downward trend.

Oh wow.. I didn't know that. I will be more cautious from now on.. Thanks for the info :)

What was wrong with the library timeit? Isn't this a legitimate one?

I've found a boing but helpful video some time ago. Maybe it helps you too.

https://www.youtube.com/watch?v=cog4Dds__a0

haha

Does not really work... downloads the same 5 pictures over and over again.

And not a single algorithm was explained..

Soo... let's create a github repo and solve all these? :D

What would be the best data structure for using this in, say, a Python script? I imagine just putting it into a dictionary (hash map etc.) won't work because of the size.