vital functions

[kaberett]

Reading. Not books: the summary of the Supreme Court decision re prorogation of parliament, a lot of news coverage of same, and The Hugo Award™ wank. (Plus work reading, but that doesn't get put here.)

Trans Mission, Alex Bertie. I stalled a bit on this early on in the week because of my substantive disagreements with the definitions provided for sex and gender, and I am definitely not the target audience, but it's good to know this exists. Feeling like I have deadlines on other books, so currently on pause.

Self-Compassion: Stop beating yourself up and leave insecurity behind, Kristin Neff. Recommended by Brené Brown, so having had it lying around for ages I'm having another go at this. Alas I don't appear to have got far enough through it on my previous attempt to record why it was a DNF, but I suspect it had a fair amount to do with the kind of sentence I read now and roll my eyes at a little ("sure, friend, I see what you're trying to get at, but I'm not convinced that's the most effective way to communciate it") but did not at the time have the skills to unpack. Stalled partway through via the magic of (1) wanting to make notes, (2) wanting to actually write up Daring Greatly before diving into an associated thing, and (3) feeling like I had Deadlines on other books.

tales from outer surburbia, shaun tan, on loan from sebastienne and thus read almost in its entirety on Sunday morning in the armchair in the bay window in order to return it, along with the author's more comments. I particularly loved Distant Rain and Grandpa's Story; I seriously considered whether I wanted to transcribe all the bonus news snippets from around the edges of the amnesia machine because they are all so startlingly viciously accurate.

Making A Tinderbox, Emma Sterner-Radley. Queers??? Recommended by the library ebook app??? She's Swedish so I am cautiously optimistic that her cheerful self-description as "lesfic" doesn't mean she's actually a TERF.


Cooking. Taught B how to sourdough, ish! This involved me experimenting some more with sourdough, which was perhaps mean.

I also established that I can do a pretty good Mass Spec Lunch Picnic via the medium of: one small tub containing Apfelmus and plain yoghurt; one medium tub with berries in the bottom and passionfruit yoghurt in the top; one medium-small tub containing houmous; a box containing A Variety Of Cheese; a big box containing Some Dried Fruits, A Fresh Fruit, A Bread, Some Ryvita; and maybe A Bonus Small Snack.

Exploring. Hastings, a bit more! Visited SEVERAL charity shop yes good. Saw Many Squirrel in the park.

Creating. I WROTE a tiny PYTHON SCRIPT and did SCIENCE with it and I am very excited about this, okay.

Observing. Stunning diffuse, and incredibly broad, double rainbow: Friday evening, directly in front of us as we were heading out of London.

Playing. from every spark a fire, a tiny H*archate game by yhlee.

Also got myself together to start prodding at Winterstrike, also by yhlee.

And did another round of The Witches, which I would like to play again with a slightly smaller gap than last time!

And learned Bärenpark also, LOOK at me Plays New Games.

Poking. Last week, not blogged: a second shiny Onix (wild!) and also a shiny Barboach (also wild). And lots of Unova Pokémon, including Foongus (TINY ANGERY MUSHROOM), Drilbut (MOOOOOOOOOOOOOOLE), Blitzle (electric pony!), Oshawott, and Klink, in addition to Patrat/Lillipup/Purrloin. Seen in the wild, not caught: the Purrloin evolution, which pretty. This week: wild-caught a shiny Minun (whyyyy) and a Zangoose (less whyyy), and also achieved Durant, Hurrah New Species. (While singing along to Frank Turner with my new voice.)

Comments

[batdina]

I've been eying the Alex Birdie, but hesitating because I have a lot to read already and I didn't think I was its audience. So thank you for clearing that one up for me.

I do not know how you honour your religious background, but in any case, Shana Tova u'metuka and a lovely year to come.

[kaberett]

I've been eying the Alex Birdie, but hesitating because I have a lot to read already and I didn't think I was its audience. So thank you for clearing that one up for me.

Like, bless him, he's doing a Valuable Public Service with the Gender For The Cis 101, and there was a point in my ~transition journey~ when I found "gender's what's between your ears, sex is what's between your legs, sexuality is who's between your legs" helpful, but at this point I kind of... feel like it's the equivalent of the Bohr model of the atom, i.e. lies-to-children, and so I spent the entire introduction having an Internal Argument With The Book, which made me a bit edgy. We'll... see how I get on with the rest of it.

Shana Tova <3

[brainwane]

Congrats on All The Things, but especially: As a Pythonist I celebrate your Python scriptwriting and sciencing!!

[kaberett]

Thank you! For the first few years of the PhD I spent the autumn term TAing the first-year undergraduates' compulsory Intro to Python course, but it has been A While since I actually wrote anything as opposed to just running my pre-existing scripts...

[brainwane]

I'm super glad you got to dust off your skills and make a thing!! That was useful to you!

the first-year undergraduates' compulsory Intro to Python course

A good thing to hear about. :-) I went and got certified as a Carpentries instructor and care about their mission, and there's a part of it that will be obviated when tons of scientists have learned a proper programming language somewhere early in their careers.

[vass]

Alas I don't appear to have got far enough through it on my previous attempt to record why it was a DNF, but I suspect it had a fair amount to do with the kind of sentence I read now and roll my eyes at a little

For what it's worth, the title is making my brain itch because it needs a comma.

I WROTE a tiny PYTHON SCRIPT and did SCIENCE with it

OOH *emphatic gesture*

[kaberett]

For what it's worth, the title is making my brain itch because it needs a comma.

Ha. <3

OOH *emphatic gesture*

Right so, remember this graph? ()

It became relevant for me to know how many of the white circles were above each of the curved lines in the right-hand panel.

The difficulty arises because the curves aren't being plotted via (any straightforward) equation - they're the result of an iterative model (in a spreadsheet, but shhh), where what I've actually done is plotted every point in that model up and then only shown the line connecting them.

And also I kiiiiind of want to know the answer for any arbitrary Random Curved Line, right.

So for interest (I knoooow it's probably clumsy, I don't think Vass needs to hear this but Readers In General please be kind to me about it, I'm not actually after critical feedback here), here's what I ended up with (note the "include some weighting maybe???" comment, but I am currently feeling Resistant to Remembering How To Translate Vectors Into Python and this is honestly Good Enough for the point I'm making, so shrug.emoji):

#!/usr/bin/python import csv, math, sys if __name__ == '__main__': if len(sys.argv) < 2: print >> sys.stderr, "Usage: %s file.csv [file2.csv ...]" % sys.argv[0] sys.exit(1) # set up lists curve = [] data = [] abovecurve = [] belowcurve = [] # populate lists with open(sys.argv[1], 'r') as f: # header row curve.append ( tuple( (next(f, None)).split(',') ) ) # data for line in f: temp = line.split(',') xy = tuple( (float(temp[0]), float(temp[1])) ) curve.append( xy ) curve = curve[1:] with open(sys.argv[2], 'r') as f: # header row data.append ( tuple( (next(f, None)).split(',') ) ) # data for line in f: temp = line.split(',') xy = tuple( (float(temp[0]), float(temp[1])) ) data.append( xy ) data = data[1:] # need to check that curve is ordered by x-value of the tuples curve.sort() # for each item in data, iterate over curve to work out whether # the data point sits above or below the line # # optionally, include weighting... for each in data: i = 0 #print str(each[0])+','+str(curve[i][0]) while each[0] > curve[i][0]: i += 1 continue else: testy = ( curve[i-1][1] + curve[i][1] )/2 # and then add it to an appropriate list if each[1] > testy: abovecurve.append(each) else: belowcurve.append(each) # for bonus points, work out %age above & below total = len(data) above = len(abovecurve) pcabove = (float(above)/float(total))*100 below = len(belowcurve) pcbelow = (float(below)/float(total))*100 # print list lengths & %ages print "There are " + str(total) + " data points. " + str(above) + " (" + "{:.1f}".format(pcabove) + "%) are above the curve (included). " + str(below) + " (" + "{:.1f}".format(pcbelow) +"%) are below the curve (excluded). "

[with apols for textarea, I'm not awake enough yet to work out any more sensible way to preserve the indentations]

[vass]

*more emphatic gesturing* You did it and it is cool!

(Also I kind of love that "test y" reads as "testy".)

[kaberett]

... :D I had not noticed but I am DELIGHTED.