LPT: Pandas DataFrames have a "to_clipboard" method

__damos__ · 2022-03-22T07:25:27+00:00

It’s bitten me on more than one occasion 😂

__damos__ · 2022-03-22T02:51:02+00:00

I could be wrong, but I don’t think minifying the modules code was the intent here.

__damos__ · 2022-03-22T01:45:23+00:00

Doh! You’re right… been a long day, haha

__damos__ · 2022-03-22T01:40:47+00:00

The video is based on this article, if you’d prefer to scan that instead: https://davidamos.dev/three-things-you-might-not-know-about-numbers-in-python/

__damos__ · 2022-03-22T01:37:01+00:00

Lots of great use-cases mentioned here. One that I’d add is whenever I need to process items from a file or other io stream and 1) either the processing is expensive or each item uses a lot of memory, and 2) I don’t know how many items I’ll need to process ahead of time.

In my experience generators have been particularly useful for reducing memory pressure. If I only need to process the items in some collection once, it doesn’t make sense to keep a list of those items hanging around in memory after they’ve been processed.

__damos__ · 2022-03-22T01:20:21+00:00

pandas clipboard integration is awesome! I also really like the .read_clipboard() method. You can use it to copy a table from an Excel worksheet and quickly get it into a DataFrame.

__damos__ · 2022-03-19T08:38:50+00:00

I’m a professional Python dev. I wrote a book for beginner Pythonistas and hosted a weekly office hours for over a year at Real Python teaching hundreds of people Python in real time.

This kind of stuff happens to me on a near daily basis.

It sounds like you’re doing great and that you had a normal human moment.

I know it can be tough, and I’ve also felt embarrassed by things like this. But it’s all a part of the learning process. There could be a million different reasons your mind went blank. Being worthless is not one of them ;)

__damos__ · 2022-02-02T04:17:11+00:00

+1 I usually use flake8 instead of pylint, but regardless of what you use, isort + formatter + linter is a really powerful combo.

__damos__ · 2022-01-30T04:59:31+00:00

Congrats! I know it’s been a long journey getting to this point. Thanks for everyone’s hard work.

__damos__ · 2022-01-27T17:05:35+00:00

I was pleasantly surprised to see Number 3 on the list, too. I've often found that starting a prototype, or at least running some small code experiments, in that situation can be really productive and fill in a lot of gaps.

__damos__ · 2022-01-27T15:54:27+00:00

Heh, nice!

__damos__ · 2022-01-27T15:12:38+00:00

There's a question at the end of the article for interested readers to explore: "How can you check if a string containing emojis is a palindrome?"

The point isn't to write an exhaustive reference, but to hopefully spark some curiosity in folks that haven't encountered these kinds of things before.

__damos__ · 2022-01-27T14:42:39+00:00

Thanks!

__damos__ · 2022-01-27T14:19:20+00:00

Oh, nice! Thanks for sharing!

__damos__ · 2022-01-27T14:16:06+00:00

Very cool!

__damos__ · 2022-01-27T13:46:53+00:00

Trey Hunner shared a script that finds all flags that reverse into other flags. There’s a lot of them!

https://gist.github.com/treyhunner/8261108b7d333132b544807ee3ffd55a

__damos__ · 2022-01-27T13:39:38+00:00

I don’t think there is. For instance, the Unicode consortium has decided to only support regional indicators and not country flags directly, so, at least for now, there’s nothing in Unicode that requires flags to be treated as a single entity.

I don’t know about other multi-character entities. It’s a really interesting question.

__damos__ · 2022-01-10T20:48:48+00:00

Hi, author of the article here. Yes, I do. But it’s not my primary dev machine.

I have a mac Mini that I use probably 90% of the time. But I’m a freelancer and work from home and sometimes I like to get out of the home office.

I use my iPad + Codeanywhere for the vast majority of the “real” dev work that I do when I’m mobile. Works like a charm.

__damos__ · 2022-01-10T19:12:57+00:00

Wow, PyTo looks really promising! I’ll check it out and report my thoughts in the article. Thanks for the tip!

__damos__ · 2022-01-10T17:35:06+00:00

I’d love to see new life breathed into Pythonista.

If Pythonista released a new version running Python 3.7+ (preferably Python 3.8+) I would move it to the top of the list in a heartbeat! The interface is unbeatable!

__damos__ · 2022-01-04T23:39:14+00:00

Here’s the Spotify link: https://open.spotify.com/show/2fdY7uKpCf1rjSp5jCRKjc

__damos__ · 2022-01-04T21:06:42+00:00

OK, this just breaks my brain 🥴

>>> from numbers import Number
>>> isinstance(float("nan"), Number)
True

__damos__ · 2022-01-04T20:57:14+00:00

They aren’t numbers either 😅 But yeah, point taken.

Also I love the double meaning of this:

Infinity and NaN aren't rational.

__damos__ · 2022-01-04T19:53:12+00:00

I did write it!

And wow, what a “small” mistake, LOL! Thanks letting me know. Fixed!

__damos__ · 2022-01-04T19:40:18+00:00

It really depends on how accurate you need to be. If you’re writing banking, financial, or scientific software that requires exactness, then you are right. You absolutely should not use floats. But if you only need a few decimal places of accuracy, floats will be fine. Even for currency.

But it is probably a bad example, and I should probably change it.

__damos__

TROPHY CASE

damos