#reviews.txt

[wattwrites]

January 2024 in Movies and TV

A collection of mini-reviews about the movies and TV shows I've watched during the past month.

A lot of these are 2023 releases I didn't get round to when they released, So I'm playing catch up a little bit this month. Please note that I only watch things I'm personally interested in and please remember these are just my opinions. If you would like to read my reviews in full, Please go to my Letterboxd.

MOVIES:

09.01 - Hercules (1997, Ron Clements.) 3/5

Beautiful animation, some really under-rated visual sequences. Meg and Hades are the best characters, They have so much charm. Plot is a little stiff but the characters for sure make up for it.

10.01 - The Boy and the Heron (2023, Hayao Miyazaki.) 3.5/5

A powerful piece about grief and displacement, Our protagonist continues to venture through the world despite his loss. Breath taking animation and some superb voice acting, just really beautiful.

10.01 - Saltburn (2023, Emerald Fennell) 3/5

I didn't think this was as crazy or as good as it was made out to be, Casual movie watchers need to stop misunderstanding artsy films. There were a few moments that gripped me when I first watched it but seeing it all be picked apart on social media ruined this movie for me. I found Felix really likeable and I went into it knowing that Oliver was a piece of shit; Rosmund Pike and Alison Oliver gave some of my favourite performances.

12.01 - Poor Things (2023, Yorgos Lanthimos) 5/5

My favourite movie I saw in Janurary, A visual treat for anyone who likes traditional gothic horror, the visual effects and the set design was beautiful and I genuinely felt so emerged in the world. Kinky and gorey and does not hold back on a single punch, Bella is unashamedly herself and learning to find her way in the world and I've never experienced such a well rounded character arc before.

13.01 - Fantastic Mr.Fox (2009, Wes Anderson) 3.5/5

The first of several Wes Anderson movies I watched this month, I really like the flare in his movies. George Clooney plays the character so well and all the characters are so charming - I did think it got a bit overcomplicated in the middle but isn't that just Wes Anderson to a T. Beautiful animation and genuine well done slapstick comedy, a family treat.

14.01 - Wish (2023, Fawn Veerasunthorn) 2.5/5

Disappointing is the best way to describe Wish, It did have some merit but for what was supposed to be Disney's 100 Year movie it fell extremely short. Flat animation, boring characters and generic plot progression. Fine for kids who don't pay attention but there is very little of actual worth, I can't believe this came from Disney the same year as Across The Spiderverse.

15.01 - Arrietty (2010, Hirosama Yonebayashi) 3/5

Pretty music, great animation as usual but not quite to the scale of some other Ghibli productions. The voice acting really blew me away on this one, Mark Strong was a great choice for the stoic father but Olivia Coleman really went above and beyond in her performance. Neat, warm and cozy - The ending felt really simple but it was a good middle of the road Ghibli movie.

19.01 - The Grand Budapest Hotel (2014, Wes Anderson) 4/5

Fun, silly and warm. The whole movie felt like it took place in a toy box. Loved seeing all the usual Anderson offenders, I've started playing guess who when I watch one of his movies. I would give anything to hang out with M. Gustave of the Grand Budapest Hotel. Ralph Finnes was a fantastic choice, He embodied the role so well.

20.01 - Princess Mononoke (1997, Hayo Miyazaki) - 3.5/5

Easily the most brutal Ghibli I've seen, Doesn't hold back on its message at all and it was a fantastic visual metaphor for Man vs Nature. Great animation for the time, solid secondary characters and good voice work.

24.01 - Ghostbusters (1984, Ivan Reitman) - 4/5

My first time properly watching this movie and I loved it, can't believe it took me so long to watch. Oozes with charm and tone, The goofy spooky vibes are on point and every character is very unique. Fun popcorn cinema, It's extremely silly but takes itself seriously when it needs to. I found myself wanting more of the four Ghostbusters just bouncing off each other, All these big personalities play off each other so well.

26.01 - All of Us Strangers (2023, Andrew Haig) - 3/5

I completely misunderstood this movie and didn't go into it knowing it was a sixth-sense / supernatural movie so my first viewing left me very confused. Its full of very heartwarming moments, Claire Foy and Jamie Bell play the parents very well and there is genuine connection between the characters. Confusing and a little disappointing but it does pack a punch with some of the emotional moments, There was a few times it genuinely chocked me up. 

27.01 - Watership Down (1978, Martin Rosen) - 5/5

I personally don't know how to put into words how much I love this movie, It was a favourite of mine during childhood and it still holds up. The music and the tone is so strong and never once does it lose its pacing, You can tell the animators and production team really cared about the story. The commentary on nature and war was cleverly done, Not in your face but very present and the voice work was fantastic for the time.

27.01 - Raiders of The Lost Arc (Steven Spielberg, 1981) - 3/5

Goofy and fun but packed with really well executed and well directed action. The monkey broke my heart, I was rooting for her and she was a snake! Indie is kind of a scumbag but Harrison Foord plays him so well I can't help but love him, He'd make me crush on him too tbh.

28.01 - The Holdovers (Alexandar Payne, 2023) - 4.5/10

For a movie with such hurt and wounded characters at this core, This movie continually upholds the message that life can go on. Three protags all grieve something; a different life, a family, a child and all come together in this beautifully human story. Paul Giamatti, Dominic Sessa and Da'Vine Joy Randolph all play off each other so much, hats off to them all.

31.01 - Chicken Run: Dawn of the Nugget (2023, Sam Fell) - 2.5/5

Big tonal change from the original tbh, I liked how gritty and dark and actually hopeless things felt. The uncanny valley vibes (for chickens) are kinda on it and the animation is pretty good but the over saturated colour pallet really doesn't do anything for these characters.

Television:

17.01 - Ted (2024, Seth MacFarlane) - 3.5/5

Packed with laughs and surprisingly human moments, the characters are all very fleshed out and I genuinely get the chaotic family vibes. Actual comedy and not just Family Guy-esque jokes, The whole season felt like a nicely wrapped gift. Not sure if I want more but I enjoyed it for what it was.

21.01 - Hazbin Hotel (2024, Vivienne Medrano) - 3/5

I was really conflicted going into watching this show as I don't have the best opinion of the creator but I was surprised. Good characters, fluid animation and some musical bangers. It hasn't quite blown me away yet but as of time of writing the finale hasn't aired yet.

[decayingbite]

made a new tag since i'm trying to pick up media again and get into enjoying things more often while i'm in a bad episode of depression. this tag will be full of reviews for games, books, movies, kind of anything i end up consuming. just gives me something to do. hopefully i'll be around the internet a little more often here soon.

[longstoryoongi]

lost in paradise? ✧･ﾟ:*

welcome to romy’s bts fanfiction reading blog.

below you’ll find my chaotic library. feel free to browse through fics by member, pairing, reader type, genre, alternate universes and tropes. after you’ve read a fic, make sure to reblog it in order to support the writer. happy browsing, dear visitor!

SEARCH THE LIBRARY ✧･ﾟ:*

➳ by member.

kim namjoon kim seokjin min yoongi jung hoseok park jimin kim taehyung jeon jungkook

➳ by reader x pairing.

namjin • sope • taegi • jikook yoonmin • namseok • yoonkook • minimoni taekook • taejoon • 2seok • yoonjin vmin • taejin • vhope • jinkook • ot7 hyung line • maknae line vocal line • rap line

➳ by type.

drabble • one-shot • two-shot • series

➳ by reader-type.

gender-neutral reader • female reader

➳ by genre.

fluff • angst • smut • pwp • comedy • dark content slice of life • drama • mystery • horror supernatural • science fiction • fantasy dystopia • thriller • psychological

➳ by alternate universes.

idolverse!au • sugar daddy!au • racer!au • ceo!au college | university!au • soulmate!au • criminal!au vampire!au • werewolf!au • witch!au • demon!au angel!au • ghost!au • monster!au • fairy!au pirate!au • royal!au • apocalyptic!au zombie apocalypse!au • alien!au • space!au time travel!au • superhero!au • supervillain!au mythology!au • folklore!au • fairytale!au

➳ by tropes.

friends to lovers • rivals to lovers • enemies to lovers lovers to enemies • established relationship arranged marriage • fake dating • mutual pining

➳ romy’s fic reviews.

#lsy_ficmarked: to be read

#lsy_bookshelf: currently reading

#lsy_romy reviews.txt: my comments on other people’s writing

#lys_romy hearts this fic: personal favourites

#jamais queue: my queued tag

want me to read your fic? use the tag #useromy on your writing & i’ll be sure to check your creations out.

© longstoryoongi / romy, 2023. — last updated: april 3rd, 2023

[myprogrammingsolver]

STAT 3250 Assignment 9 Solved

Background: This project centers on several related data sets, the centerpiece the set reviews.txt which consists of 100K movie reviews. There are 1682 di erent movies reviewed, with a total of 943 di erent review-ers. Each review is an integer between 1 (lowest) and 5 (highest). Other data les include information about each reviewer, about each movie, and relating zip codes to…

[adoptionsectioninfo]

There are two sides to the process of informing a child about it's adoptive status: First of all the information has to be passed on to the child and secondly the child has to understand the information it has been given.

It is more than likely that a 4 year old child can be made to refer to itself as "adopted" and further tell that it has grown in another woman's womb before being adopted by it's present parents. This however does not go to say that the child has understood what an adoption really means. More so it has to be assumed that due to the child's use of very specific vocabulary related to the issue of adoption the parents are lured into the false belief that their child fully understands the concept of adoption. By doing so, the cognitive capability of a small child is highly overestimated. It takes approximately 10 years for an adopted child to fully grasp the information about its adoption which they have been given at the age of 3 or 4. This knowledge was the result of the scientific research by BRODZINSKY and his colleagues during the "Rutgers Adoption Project" (1986). The scientists examined 100 adopted children in comparison to 100 non-adopted children. There were 20 children in each age group: 4-5 years old, 6-7 years old, 8-9 years old, 10-11 years old and 12-13 years old. All adoptive children were adopted within the first 2 ½ years of their life. Their understanding of the adoption was evaluated on the basis of a 6 grade chart.

Although the 4-5 year old children had all been informed about their adoption most of them did not have any understanding of the meaning of an adoption (grade 0). At an average age of 5 years and 6 months most examined children either assumed that all children in general were born to their biological parents or that adoption and giving birth are the same (grade 1). At the age of 7 years and 2 months children could distinguish between adoption and birth. They viewed it as 2 different means of becoming a part of a family. The relationship between the adoptive parents and the child was described by the children to be a permanent one. However they could not articulate a reason for the permanence of this relationship other than voicing the assumption that "The child is now owned by its adoptive parents" (grade 2).

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[sanktastarkov]

The Night Circus is a really good book so far!

[myprogrammingsolver]

Assignment 9

Background: This project centers on several related data sets, the centerpiece the set reviews.txt which consists of 100K movie reviews. There are 1682 di erent movies reviewed, with a total of 943 di erent review-ers. Each review is an integer between 1 (lowest) and 5 (highest). Other data les include information about each reviewer, about each movie, and relating zip codes to…

[myprogrammingsolver]

Assignment08.py (STAT 3250) Assignment 8

The focus of this assignment is dates. Not the fruit, but the time and date that data is put into a file. 1. The questions below require the data frame ‘reviews.txt’ that is described in the README_assign08.txt file. You can use the code below to read in the data as a dataframe. import pandas as pd load pandas as pd reviews =…

[myprogrammingsolver]

Assignment 9 Solved

Background: This project centers on several related data sets, the centerpiece the set reviews.txt which consists of 100K movie reviews. There are 1682 di erent movies reviewed, with a total of 943 di erent review-ers. Each review is an integer between 1 (lowest) and 5 (highest). Other data les include information about each reviewer, about each movie, and relating zip codes to…

[sanktastarkov]

tonight's episode;

& the next episode, goddammit.

I really enjoyed the flashbacks of this episode and I wonder if Snow knew about his life as a peasant thing, since they got married and all, but damn, Regina is doing a fucking good job screwing with the otps. Poor Mary and David, and ugh Kathryn. Okay, well that's all. I'm just going to be pissed off for the night and still be haunted by the puppets/dolls that Mr. Gold has in his shop from the last episode.

[sanktastarkov]

OLD APARTMENT!?!?!

ELENA GET THE HELL OUT

[sanktastarkov]

KATHERINE I MISSED YOU!