"I know people are joking around on here but I have a nephew in kindergarten. If Trump cuts The Department of Education, who's gonna call the kid a racist and show him gay porn?"
— Jimmy FaillaStop digging up dead idol singers and start stocking up on dried squid, because Zombieland Saga Revenge is coming!
The OP and ED songs have been stuck in my head all week. I’ve rewatched episodes 1-3. I lightly skimmed the first light novel to see how faithful the anime is. I watched episode 4 when it came out this morning, then read the epilogue to see what they changed (mostly same events, different actions and implications; Tirana’s outfit was not described in the book…).
As expected, they finished off book 1. Unexpectedly, they finished it early and went right into book 2. All the other books are about 20% shorter than the first one, though, which means they’re either going to try to get all the way through book 4, or spend extra time on 2 and 3; not sure how either plan would work out based on how they handled this one.
It has some flaws (including the animation budget), but I like it.
As popular and photogenic as she is, it’s a bit surprising that they just keep recycling the same handful of photoshoots of Asuka Kishi (岸明日香). Then again, she’s only had 3 photobooks in six years compared to 15 DVDs, so perhaps her fans just want to see them bounce.

Brickmuppet hand-assembled a list of popular Pixiv pics on both the Male and Female lists. Naturally I scripted it with PixivPy, and included their relative position on the two lists…
The core of the code looks like this (delete “_r18” from both searches to see the clean-ish images); output is suitable for including directly in a Markdown-based blog like mine:
url = 'https://www.pixiv.net/member_illust.php?mode=medium&illust_id='
result = aapi.illust_ranking(mode='day_male_r18')
male={}
mcount=0
for i in result.illusts:
mcount = mcount + 1
male[i.id] = mcount
while result.next_url:
next_qs = aapi.parse_qs(result.next_url)
result = aapi.illust_ranking(**next_qs)
for i in result.illusts:
mcount = mcount + 1
male[i.id] = mcount
result = aapi.illust_ranking(mode='day_female_r18')
fcount=0
for i in result.illusts:
fcount = fcount + 1
if i.id in male:
print '* [F: %d, M: %d](%s%s)' % (fcount, male[i.id], url, i.id)
while result.next_url:
next_qs = aapi.parse_qs(result.next_url)
result = aapi.illust_ranking(**next_qs)
for i in result.illusts:
fcount = fcount + 1
if i.id in male:
print '* [F: %d, M: %d](%s%s)' % (fcount, male[i.id], url, i.id)
Rankings and links after the jump, because about a third of the clean sets of 500 and more than half the R-18 sets of 300 interest multiple genders:
What’s the best-bang-for-the-buck gaming graphics card that I can put into this?
Current specs:
I’m tempted to replace the original small SSD with an NVME PCI
Express card and one of the many ridiculously-affordable M.2 NVME
SSDs. (never mind, the free slot is only PCI Express x1)
Unrelated to this picture, the DanMemo mobile game is currently running bonus drama vignettes related to each episode of season 2 as they air.

Some of the many side stories in the game are focused around the waitresses at Bell’s favorite pub. They might collectively be called, “Is It Wrong To Force Level 4 Adventurers To Wait Tables In A Dungeon Town Restaurant?”.
Pro tip: grabass == permadeath.
DeDRM and KindleUnpack are packages designed to extract the contents from ebooks purchased through Amazon, with multi-platform point-and-click GUI wrappers. (DeDRM includes decrypters for many other platforms as well, but I don’t need any of them)
My Japanese-book-hacking workflow doesn’t play nicely with point-and-click, and now that I’ve gone to the effort of resurrecting and updating it to work with modern versions of Perl and TeXLive, I thought it was time to dig out the core of the extraction tools and repackage them in a format more useful to me.
A Glorious Future Approaches!
You know what this means:
