Today’s lookbook has thrifted outfit ideas inspired by the 90’s tv show Freaks and Geeks starring James Franco and Seth Rogen. I’ve got outfits inspired by all 8 main characters including Lindsay, Daniel, Nick, Kim and Sam!
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Freaks and Geeks is one of my favourite shows so I’m really excited about this video! It was a little out of my comfort zone with the different form of filming and editing, which won’t make sense unless you’ve seen the show, so don’t judge haha Please do check out the original Intro to the show to see where I got my inspo - https://www.youtube.com/watch?v=RHTL4vTg2O0
Parka Jacket - Thrifted
Stripe Tee - Thrifted
Black Jeans - Kmart
Shoes - Thrifted
Shirt - Thrifted
Cord Flares - Style Nanda
Jacket - Thrifted
Sneakers - Converse
Band Tee - Thrifted
Flannel Shirt - Thrifted
Mom Jeans - Thrifted
Sneakers - Converse
Velvet Sweatshirt - Vintage
Cord Pants - Thrifted
Glasses - Glasses USA
Sneakers - Rubi Shoes
White Long Sleeve Top - Supre
Denim Work Shirt - Depop
Mom Jeans - Topshop
Boots - ROC Footwear
Striped Trousers - Urban Outfitters
Tan Turtleneck - Style Nanda
Sweater Vest - Thrifted
Brown Boots - Target
Denim Shearling Jacket - Thrifted + DIY
Sweater - Thrifted
Cord Trousers - Style Nanda
Sneakers - Converse
Baby Blue T-Shirt - Thrifted
Jacket - Depop
Light Wash Jeans - Thrifted
Sneakers - Nike Air Force 1
Full Body Rock by Gyom
FTC: This video is not sponsored!
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I hope you guys love Freaks & Geeks as much as I do!!! If so, let me know who your favourite characters are!
If not, then you’ll probably want to watch the intro for some sort of context to this strange video haha - http://bit.ly/2D3pTrc
I love the outfits, and the show btw, Lindsay and Bill are my favorite characters. But one thing that caught my eye. Guns n roses, you know the bandshirt that "Ken" was wearing, didn't exist until 1985, and the show is set in 1979/1980. But loved it nonetheless! You should totally do Dazed and Confused.
Best. Content. Amazing art. Amazing execution. So passionate and on point ah! Thank u for all your hard work your videos truly inspire me and fill me with so much joy u have no idea how much watching your videos means to me ❤️
You always put so much thought and effort into your videos and it's amazing :) For your next film inspired lookbook could you do more modern takes on the looks? Sometimes I feel like when the outfits are recreated exactly it gets a bit costume-y!!
YOU DID AN AMAZING JOB CAN U IMAGINE HOW HARD IT WAS TO EDIT AND FILM AND TAKE THE TIME TO FIND ALL THE GREAT FITS LIKE TF SHE MUST'VE BEEN THE SLIGHTES BIT STRESSED OUT BUT OMG SHE NAILED THE LOOK !! 💕
This article has been motivated by a response I gave to a problem raised on an Oracle developer forum. Our requirement is to produce a report that details customer spending for each month of the year. Our database only records actual spend, so for any given month, data for dormant or idle customers will have to be generated.
First, well create a mock CUSTOMER_ORDERS table with sparse data to represent customer spending. To keep the example simple, well denormalise the customer name onto the orders table.
a sparse report.
With our customer orders data as sparse as it is, a monthly report for purchases by customer would look as follows.
adding the missing months.
We can see from the data that we are missing most months of the year for our two customers. Remember that our requirement is to show a report for every month in 2004 for every customer. First we will build a "time dimension" set (using subquery factoring) and outer join it to our orders table.
We can see that this hasnt quite worked. We have the zero sums and the year-months, but we are missing customer names. This is because we outer joined to CUSTOMER_ORDERS on the year-months, so any customer columns would show as NULL for deficient rows. Until PARTITION OUTER JOIN appeared in Oracle 10g, we couldnt "invent" data easily , though the next section shows that it is possible in prior versions.
data-densification without partition outer join.