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feyhunter78 · 3 months ago

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Valentine's Day Fratboy!Miguel

Art cred: @/viva_sl o𝗇 Twitter

Description: It's your first Valentine's Day with Miguel, and he goes a little overboard.

First Fratboy!Miguel Fic here

You stare dumbfounded at the open black crushed velvet box in your hands, a large blue diamond encircled by smaller white diamonds on a silver chain nestled within. “Is this…?”

“The Heart of the Ocean? Yeah, pretty romantic, right?” Miguel says, a self-satisfied smile on his face as he leans back against your couch, his arms folded behind his head.

“Please tell me this isn’t real.” You say, panic coloring your tone.

His brows furrow, the smile sliding off his face. “I mean it’s lab grown, and my dad knows a guy, so I got a killer discount, and it’s not as many carets as the one in the movie, but it’s still real, ya know?”

Your brain stops going through twenty-seven different modes of panic thinking he spent millions of dollars on you, and finally you can breathe. Just in time for Miguel to panic.

“If you don’t like it, I can get something else, there were a ton of different necklaces, I actually had this idea to make my own, but Kron said that was beta behavior and would turn you off, so I—”

“I like it, I do, really, I was just shocked.” You tell him, closing the box and setting it on your coffee table, next to the bouquet the size of your torso. A heart shaped box of chocolates, and a pure white teddy bear holding a red heart that read Be Mine, also on the tabletop.

“But in a good way, right?” He asks, glancing nervously between the gifts and you.

You smile fondly and take his hand in yours, his Rolex catching the light coming from the heart-shaped fairy lights hung on the wall above the couch. “Have you ever celebrated Valentine’s with someone before?”

“I’ve always managed to get out of Valentine’s Day, never really wanted to do all the mushy stuff.” He says sheepishly.

“That makes sense.” You giggle, looking over at the cliché pile of gifts on your table.

Hurt ripples across his face. “You hate them, got it, y/n, I’m serious, just give me twenty minutes I can make this up to you.” He says, getting up from the couch, his hand slipping from yours as he searches for his car keys.

“Wait, Miguel, hold on a second.” You call, getting up too, and following him to the door of your apartment, your steps muffled by the Valentine’s themed fuzzy socks on your feet.

He turns, an apprehensive expression on his face, his hand on the doorknob. “Just text me what you want, I’ll go get it.”

You wrap your arms around his stupidly impressive arm, his muscles emphasized by the black long sleeve dry-fit shirt he’s wearing, and tug him away from the door. “You. I just want to hang out with you. I haven’t even gotten to give you your gift yet.”

His eyebrows shoot up, and he follows you semi-willingly, retaking his seat on the couch.

“Okay, just wait here, it’s in my room.” You tell him, leaving him in your living room as you enter your room and shut the door behind you.

With the door shut, the world suddenly quiet, your nerves set in. What if he thinks your gift is stupid or cheesy? It’s your first Valentine’s Day together, you didn’t think he’d go so overboard! You pick the neatly wrapped gift up from your desk and contemplate changing into something prettier, hotter, sexier? You don’t really have lingerie, but you could definitely put on a black bra and matching underwear, that’s hot, right? Letting out a stressed groan, you toss the gift onto your bed and change quickly, cursing yourself all the while. Why didn’t you buy something cute? Miguel dates sorority girls, super hot, super fashionable and cool sorority girls like Kelsey and Emma from your Victorian Literature class. Why didn’t you ask them what to get him, or what to wear? They’re nice, they hang out with you at frat parties when Miguel is busy, they definitely would’ve helped you pick something out.

You look at yourself in the mirror, yeah you look good, but you’ve seen his ex-girlfriend Ava, she’s gorgeous, and has a killer body, next to her, you look frumpy and decidedly unsexy. You bite your lips and pull your clothes back on, pointedly ignoring the mirror. Now was not the time to get self-conscious, you could cry later when Miguel leaves.

Holding his present against your chest, you take a deep breath, and step into the hallway leading to the living room. The music you put on is still playing softly, the fairy lights are still on, the decorations are still cute, the cupcakes you made still look perfect, okay you can do this.

You reenter the living room to find Miguel completely naked with the box of chocolates covering his…intimate area. You don’t mean to scream, it’s not even the first time you’ve seen him naked, but it catches you so off guard, the startled sound just slips out, and you drop his gift, your hands flying up to cover your eyes. “Miguel, what the—why are you naked?”

“Why aren’t you? You said you had my gift in your room.” He says, and even though you can’t see him, you know he’s blushing head to toe.

“Yeah, it was on my desk, I had to grab it.” You explain, keeping one hand up to shield your eyes as you bend down to pick his gift back up.

You can hear the rustling of clothes as Miguel redresses, and you wait until he clears his throat to remove your hand. He’s smiling awkwardly at you, fully clothed, his hair a bit ruffled. “Sorry about that, usually that’s my gift, birthdays, Christmas, Valentine’s, you name it.”

You laugh nervously, all confidence gone, and force yourself to walk over and join him on the couch. Definitely should’ve bought cute lingerie, hopefully the black pairing will be enough. “No, no, you’re good. I can see how that would be confusing, me going in my room and shutting the door and all that.”

He’s still blushing, but he zeros in on the gift in your hand. “That for me?”

You all but shove it at him. “It’s dumb, but I thought you might like it, and if you don’t, you won’t hurt my feelings or anything.” Complete and utter lie, you’re pretty sure if he doesn’t like it, you’re going to burst into tears right in front of him.

“I’m sure it’ll be great, as long as it isn’t like a portrait of Dantell or something.” He jokes as he unwraps the gift, revealing the deep blue muscle shirt that reads Nueva York ENG Dept Boyfriend in Garmond style font across the front. As he pulls it out, two tickets flutter from the folds and into his lap.

“It’s kinda stupid and silly, but Haley made one for her boyfriend and I just thought it might be cute for like around the KA house, or the gym or—you don’t have to wear it at the gym, or the house if you don’t want to, you can do whatever you want with it.” You explain, overexplain probably, the words tumbling out before you can stop them. “And the tickets are for this after-hours tour of the fine art museum downtown. It’s super private, and you get to speak with the curator, and get a little souvenir. I just thought maybe you’d want to do that, since I know you like art, and you’re really interested in the history. I’ll stop talking now.…”

Miguel is silent, staring down at the shirt and the tickets, unmoving except for the rise and fall of his chest.

You toy with the fringe of the throw blanket on your couch, waiting for him to say something.

“Y/N this is…”

“Cheesy and stupid, I know, I’m sorry.” You say, covering your face with your hands, trying to ignore the urge to throw yourself from your balcony.

He pulls your hands away and kisses you, hard. Hands cupping your face, sliding into your hair, his movements heated and insistent as he pulls you closer, practically devouring you, tongue and teeth clashing with yours. The taste of red velvet from the cupcakes you baked melding with something that is so uniquely Miguel. He pushes you down onto the couch, his ridiculously jacked body covering your own, dwarfing you, his forearms bracketing your head as his lips still on yours, and your head spins. Kissing Miguel is a trip, not that you’ve ever used hallucinogens, but every time he kisses you, you imagine it must be what a really good trip feels like. Especially when he breaks the kiss, and looks down at you with pupils blown wide, and pure adoration practically spilling from his warm brown irises.

“I love it, I love you, fuck I can’t even explain how much this—no one has ever—” he shakes his head smiling brighter than the sun, his curls falling into his face. “Thank you.”

“You’re welcome.” You reply breathlessly, heart racing in your chest, your face flushed, your lips tingling. Did he just say he loved you?

Miguel dips his head back down, reconnecting your lips, one hand ghosting down your side to grip your thigh and wrap your leg around his lower back. “I’ll get you a better gift, like you got me, but first let me show you how much I appreciate your thoughtfulness.”

“Miguel, you really don’t have to.” You tell him, though you have no idea where you’re ever going to wear a giant ass diamond.

“Oh, but I want to dulzura, I really, really do.” He says, removing your clothes faster than you can blink, and pressing himself against your black cloth covered core with an appreciative groan, eyeing you like he’s a dying man and you’re his last meal. “You have no idea how grateful I am.”

TL: @bat-bae, @nyctophilic0vitnir, @smokeywhale-blog, @obi-mom-kenobi, @prowlingforfood, @penggion, @crystal-crax, @oharasfilipinawife, @generalkenobitrash, @melsimps, @chrishy973, @farrowroyale, @palesatan, @scaryplanetdestroyer, @denzmallows, @36namey, @scoobysnakz, @ihateuguys, @idkbros-world @smartyren, @deputy-videogamer, @blackrose8425, @amberpanda99, @marshhbs, @queerponcho, @chooalvina, @reader-1290, @beezusvreeland, @planetxella

#meg's writing #college!miguel #fratboy!miguel #college!reader #college au #miguel o'hara x reader #miguel ohara x reader #miguel o'hara x you #miguel o'hara x y/n

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existentialterror · 6 months ago

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One (1) discount fear please.

Now don't tell anyone else but this great vegetable is the reason I was trying really hard to get all these fears out the door rather than just dumping them in a city park after the season ended. Sorry to keep you waiting. Now this is a NICE goddamn turnip. Look at the color on this bad boy. Saw it while you were standing in line and was like oh that is a fine vegetable if ever I have seen one.

YOUR DISCOUNT FEAR:

A tall tower standing in a swamp. The inside is just one winding staircase, all the way up, all stairs, with no railing, and a huge gap in the middle, so you have to hug the wall because of the horror of this huge pit. There's one missing step 75% of the way up. It leads up and up to one room, at the very top. And what's in the top? Skeleton wizard.

THANK YOU for your purchase.

Vegetable counter: 41 (avocado, snap pea, onion, strawberry, 3 carrots, 1 caret, cucumber, cucumber salad, 3 broccolis, sweet potato, 2 letti, 3 garlics, asparagus, moshroom, mushroom, flesh tomato, regular tomato, pumpkin, pepper (green), pepper (extremely spicy), 3 potatoes, 2 butternut squashes, 2 corns, green bean, bean sprouts, kohlrabi, cubes???, beet, zucchini, turnip)

#discount fears #turnips

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punctuation-completionist · 2 years ago

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caret colored like a carrot... as nature intended

#punctuation #punctuation day #i am just saying things sorry people #i literally thought it was called a carrot until a few days ago so this is just interesting to me

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elite-amarys · 11 months ago

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case $- in i) ;; *) return;; esac

don't put duplicate lines or lines starting with space in the history.

See bash(1) for more options

HISTCONTROL=ignoreboth

append to the history file, don't overwrite it

shopt -s histappend

for setting history length see HISTSIZE and HISTFILESIZE in bash(1)

HISTSIZE=1000 HISTFILESIZE=2000

check the window size after each command and, if necessary,

update the values of LINES and COLUMNS.

shopt -s checkwinsize

If set, the pattern "**" used in a pathname expansion context will

match all files and zero or more directories and subdirectories.

shopt -s globstar

make less more friendly for non-text input files, see lesspipe(1)

[ -x /usr/bin/lesspipe ] && eval "$(SHELL=/bin/sh lesspipe)"

set variable identifying the chroot you work in (used in the prompt below)

if [ -z "${debian_chroot:-}" ] && [ -r /etc/debian_chroot ]; then debian_chroot=$(cat /etc/debian_chroot) fi

set a fancy prompt (non-color, unless we know we "want" color)

case "$TERM" in xterm-color|*-256color) color_prompt=yes;; esac

uncomment for a colored prompt, if the terminal has the capability; turned

off by default to not distract the user: the focus in a terminal window

should be on the output of commands, not on the prompt

force_color_prompt=yes

if [ -n "$force_color_prompt" ]; then if [ -x /usr/bin/tput ] && tput setaf 1 >&/dev/null; then

We have color support; assume it's compliant with Ecma-48

(ISO/IEC-6429). (Lack of such support is extremely rare, and such

a case would tend to support setf rather than setaf.)

color_prompt=yes else color_prompt= fi fi

if [ "$color_prompt" = yes ]; then PS1='${debian_chroot:+($debian_chroot)}[\033[01;32m]\u@\h[\033[00m]:[\033[01;34m]\w[\033[00m]\$ ' else PS1='${debian_chroot:+($debian_chroot)}\u@\h:\w\$ ' fi unset color_prompt force_color_prompt

If this is an xterm set the title to user@host:dir

case "$TERM" in xterm|rxvt) PS1="[\e]0;${debian_chroot:+($debian_chroot)}\u@\h: \w\a]$PS1" ;; *) ;; esac

enable color support of ls and also add handy aliases

if [ -x /usr/bin/dircolors ]; then test -r ~/.dircolors && eval "$(dircolors -b ~/.dircolors)" || eval "$(dircolors -b)" alias ls='ls --color=auto' #alias dir='dir --color=auto' #alias vdir='vdir --color=auto'

alias grep='grep --color=auto' alias fgrep='fgrep --color=auto' alias egrep='egrep --color=auto' fi

colored GCC warnings and errors

export GCC_COLORS='error=01;31:warning=01;35:note=01;36:caret=01;32:locus=01:quote=01'

some more ls aliases

alias ll='ls -alF' alias la='ls -A' alias l='ls -CF'

Add an "alert" alias for long running commands. Use like so:

sleep 10; alert

alias alert='notify-send --urgency=low -i "$([ $? = 0 ] && echo terminal || echo error)" "$(history|tail -n1|sed -e '\''s/^\s[0-9]+\s//;s/[;&|]\s*alert$//'\'')"'

Alias definitions.

You may want to put all your additions into a separate file like

~/.bash_aliases, instead of adding them here directly.

See /usr/share/doc/bash-doc/examples in the bash-doc package.

if [ -f ~/.bash_aliases ]; then . ~/.bash_aliases fi

enable programmable completion features (you don't need to enable

this, if it's already enabled in /etc/bash.bashrc and /etc/profile

sources /etc/bash.bashrc).

if ! shopt -oq posix; then if [ -f /usr/share/bash-completion/bash_completion ]; then . /usr/share/bash-completion/bash_completion elif [ -f /etc/bash_completion ]; then . /etc/bash_completion fi fi

echo poryOSwelcome

REQUEST TO ENTER COMMAND INTO BASH SHELL INTERPRETER: DENIED.

ALTERNATIVE COMMAND:

DROP TABLE IF EXISTS: YOUR LIFE.

#pkmn irl #anonymous query #linux posting #//i have EXTREMELY limited coding knowledge if im fucking up just pretend that linux isnt #//i will be leaning more into the silly to make up for it #//the way ive been trying to learn linux bash to figure out what this is saying tho ajdndk #long post

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predictandprescribe · 6 days ago

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Assignment: Running a Random Forest

I am an R user, so conducted the assignment in R instead of SAS or Python.

load packages

library(randomForest) library(caret) library(ggplot2) library(readr) library(dplyr) library(tidyr)

Load the dataset

AH_data <- read_csv("tree_addhealth.csv") data_clean <- AH_data %>% drop_na()

Examine data

str(data_clean) summary(data_clean)

Define predictors and target

predictors <- data_clean %>% select(BIO_SEX, HISPANIC, WHITE, BLACK, NAMERICAN, ASIAN, age, ALCEVR1, ALCPROBS1, marever1, cocever1, inhever1, cigavail, DEP1, ESTEEM1, VIOL1, PASSIST, DEVIANT1, SCHCONN1, GPA1, EXPEL1, FAMCONCT, PARACTV, PARPRES)

target <- data_clean$TREG1

Split into training and testing sets

set.seed(123) split <- createDataPartition(target, p = 0.6, list = FALSE) pred_train <- predictors[split, ] pred_test <- predictors[-split, ] tar_train <- target[split] tar_test <- target[-split]

Train random forest model

set.seed(123) rf_model <- randomForest(x = pred_train, y = as.factor(tar_train), ntree = 25) rf_pred <- predict(rf_model, pred_test)

Confusion matrix and accuracy

conf_matrix <- confusionMatrix(rf_pred, as.factor(tar_test)) print(conf_matrix)

Feature importance

importance(rf_model) varImpPlot(rf_model)

Accuracy for different number of trees

trees <- 1:25 accuracy <- numeric(length(trees))

for (i in trees) { rf_temp <- randomForest(x = pred_train, y = as.factor(tar_train), ntree = i) pred_temp <- predict(rf_temp, pred_test) accuracy[i] <- mean(pred_temp == tar_test) }

Plot accuracy vs number of trees

accuracy_df <- data.frame(trees = trees, accuracy = accuracy)

ggplot(accuracy_df, aes(x = trees, y = accuracy)) + geom_line(color = "blue") + labs(title = "Accuracy vs. Number of Trees", x = "Number of Trees", y = "Accuracy") + theme_minimal() I conducted a random forest analysis to evaluate the importance of a variety of categorical and continuous explanatory variables on a categorical outcome variable - being a regular smoker. The five explanatory variables with the highest importance in predicting regular smoking were: ever having used marijuana, age, deviant behaviour, GPA, and school connectedness. The accuracy of the random forest was 83%, which was achieved within 3 trees. Growing additional trees did not add much to the overall accuracy of the model, suggesting a small number of trees is sufficient for identifying the important explanatory variables.

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webofjobs · 21 days ago

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Postdoc Positions Related to Aging, Cancer, and Neurodegeneration

Postdoc Positions Related to Aging, Cancer, and Neurodegeneration <p style="margin-bottom: 24px; line-height: 1.5; caret-color: #555555;" data-start="71" data-end="488">A postdoctoral position is immediately available in the laboratory of Dr. Lizhen Chen at the University of Texas Health San Antonio. Dr. Chen’s lab focuses on highly interdisciplinary and collaborative scientific research in…

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tpointtechedu · 27 days ago

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The Complete R Programming Tutorial for Aspiring Data Scientists

In the world of data science, the right programming language can make all the difference. Among the top contenders, R programming stands out for its powerful statistical capabilities, robust data analysis tools, and a rich ecosystem of packages. If you're an aspiring data scientist, mastering R can open the door to a wide range of opportunities in research, business intelligence, machine learning, and online R compiler.

In this complete R programming tutorial, we’ll walk you through the essentials you need to start coding with R—from installation to basic syntax, data manipulation, and even simple visualizations.

Why Learn R for Data Science?

R is a language built specifically for statistical computing and data analysis. It is widely used in academia, finance, healthcare, and tech industries. Some key reasons to learn R include:

Open Source & Free: R is completely free to use and has a vast community contributing packages and resources.

Built for Data: Unlike general-purpose languages, R was designed with statistics in mind.

Visualization Power: With packages like ggplot2, R makes data visualization intuitive and beautiful.

Data Analysis-Friendly: Data frames, tidyverse, and built-in functions make data wrangling a breeze.

Step 1: Installing R and RStudio

Before you can dive into coding, you’ll need two essential tools:

R: Download and install R from CRAN.

RStudio: A user-friendly IDE (Integrated Development Environment) that makes writing R code easier. Download it from rstudio.com.

Once installed, open RStudio. You'll see a scripting window, console, environment panel, and files/plots/packages/help panel—everything you need to code efficiently.

Step 2: Writing Your First R Script

Let’s start with a simple script.# This is a comment print("Hello, Data Science World!")

Hit Ctrl + Enter (Windows) or Cmd + Enter (Mac) to run the line. You’ll see the output in the console.

Step 3: Understanding Data Types and Variables

R has several basic data types:# Numeric num <- 42 # Character name <- "Data Scientist" # Logical is_learning <- TRUE # Vector scores <- c(90, 85, 88, 92) # Data Frame students <- data.frame(Name = c("John", "Sara"), Score = c(90, 85))

Use the str() function to explore objects:str(students)

Step 4: Importing and Exploring Data

R can read multiple file formats like CSV, Excel, and JSON. To read a CSV:data <- read.csv("yourfile.csv") head(data) summary(data)

If you're working with large datasets, packages like data.table or readr can offer better performance.

Step 5: Data Manipulation with dplyr

Part of the tidyverse, dplyr is essential for transforming data.library(dplyr) # Select columns data %>% select(Name, Score) # Filter rows data %>% filter(Score > 85) # Add new column data %>% mutate(Grade = ifelse(Score > 90, "A", "B"))

Step 6: Data Visualization with ggplot2

ggplot2 is one of the most powerful visualization tools in R.library(ggplot2) ggplot(data, aes(x = Name, y = Score)) + geom_bar(stat = "identity") + theme_minimal()

You can customize charts with titles, colors, and themes to make your data presentation-ready.

Step 7: Writing Functions

Functions help you reuse code and keep things clean.calculate_grade <- function(score) { if(score > 90) { return("A") } else { return("B") } } calculate_grade(95)

Step 8: Exploring Machine Learning Basics

R offers packages like caret, randomForest, and e1071 for machine learning.

Example using linear regression:model <- lm(Score ~ Age + StudyHours, data = students) summary(model)

This builds a model to predict score based on age and study hours.

Final Thoughts

Learning R is a valuable skill for anyone diving into data science. With its statistical power, ease of use, and strong community support, R continues to be a go-to tool for data scientists around the globe.

Key Takeaways:

Start by installing R and RStudio.

Understand basic syntax, variables, and data structures.

Learn data manipulation with dplyr and visualizations with ggplot2.

Begin exploring models using built-in functions and machine learning packages.

Whether you're analyzing research data, building reports, or preparing for a data science career, this R programming tutorial gives you the solid foundation you need.

For Interview Related Q&A :

Happy coding!

#RProgramming #LearnR #DataScienceTutorial

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floral-atom-collective · 4 months ago

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This image is a divider, designed to go all the way across the screen or post. This divider looks like a thin, light green, repeating vine-like pattern with flowers of the same color appearing after two small leaves and a small amount of empty space with just the bare vine.

This image is a divider, designed to go all the way across the screen or post. This divider is a complicated repeated design containing multiple distinct parts. From left to right it goes like this: a closing caret symbol, a simplified atom ( two perpendicular angled ovals creating an x shape ), two simplified flowers with their stems and base leaves facing each other, and ampersand enclosed in two carets, the two simplified flowers again, and finally the ampersand enclosed in carets on the center after that it mirrors the left side exactly.

... is this too much?

#-apricot #apricot barks #//atom system//

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kandztuts · 7 months ago

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CSS 4 💻 colors and color properties

New Post has been published on https://tuts.kandz.me/css-4-%f0%9f%92%bb-colors-and-color-properties/

CSS 4 💻 colors and color properties

youtube

everything about colors and color properties in CSS color, background-color, filter, border-color, rgb, hsl, rgba and more Colors in CSS can be specified by predefined names → red, blue, green, yellow, orange, purple, black, white, gray and more by hexadecimal values → #00FF00, by rgb → rgb(0,0,0) and hsl → (0, 100%, 50%) rgb uses red, green, blue values from 0 to 255 hsl uses hue (around the color wheel), saturation(how vibrant is it) ... ...and lightness( how much white or black is in it) you can also use rgba and hsla to specify the opacity, 0 → fully transparent and 1 → fully opaque rgba(255, 0, 0, 0.5) and hsla(22, 55%, 64%, 0.7) color → sets the text color background-color → sets tje background color border-color → sets the border color text-shadow → adds shadow to a text and you can specify the color too box-shadow → adds shadow to an element and you can specify the color too opacity → specifies the element's opacity values can be from 0 to 1 caret-color → is used to set the color of the text input cursor CSS supports gradients backgrounds background-image → adds a background image, but you can also specify a color linear-gradient → defines a linear-falling gradient from left to right, top to bottom etc. radial-gradient → creates a radial gradient like a circle or an ellipse conic-gradient → creates a conical gradient from the centre towards a specific angle you can also have repeating gradients. For that exist the properties... repeating-linear-gradient, repeating-radial-gradient filter → applies graphical effects like blur , contrast and more hue-rotate → rotates the color wheel by a specified angle brightness → changes the brightness contrast → changes the brightness grayscale → convets an image to a grayscale saturate → changes the saturation invert → inverts the colors sepia → converts an image to sepia tones

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donnacorless · 7 months ago

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Check out this listing I just added to my Poshmark closet: Karis Mojave Green Turquoise Ring in Platinum Bond Brass Size 7 NWT.

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kened · 8 months ago

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setoda

(project) <p style="caret-color: #000000; color: #000000; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji';">the island of setoda is nestled in a corner of the japan inland sea, near hiroshima. setoda’s shiomachi district is a quiet corner of hiroshima…

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naturalone1977 · 11 months ago

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Check out this listing I just added to my Poshmark closet: Stunning venition art glass-foil 18” necklace with 2” extension..

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faller-of-kharbranth · 11 months ago