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LOOM OF THORNS

LOOM OF THORNS

"Some things are meant to be ruined, Stranger. I'd like to ruin your innocence"..... Becca is a "Good Girl" with a clear plan: finish her Home Science degree, keep her head down, and live by the Word. Her life is a collection of modest skirts, silent prayers, and the steady hum of her sewing machine. But when Josh—the untouchable "King of NUAT"—stumbles into her textile lab bleeding and hunted, Becca’s carefully stitched world begins to unravel. Josh is ambitious, dangerous, and hiding a secret that could burn the entire campus to the ground. He didn’t mean to drag the quiet "Church Girl" into his war, but after one desperate, stolen kiss in a dark closet, the damage is done. To the campus, she’s his new obsession. To his enemies, she’s the perfect leverage. Now, Becca is no longer a ghost in the halls. She’s a target. With a sinister voice from the shadows claiming that "Stitches don't hide secrets," Becca must decide if she can trust the man who used her to survive—or if the boy she saved is the one who will ultimately destroy her. In a jungle like NUAT, even the purest soul can get caught in the thorns.
10664 DibacaOngoingDitambahkan ke Perpustakaan sebanyak 25 kali sebagai data science python handbook
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Merturned

Merturned

Lilly Rowen
Embark on an enchanting journey through the realms of Aqualearia in "Merturned." In this captivating tale, two extraordinary mermaid sisters, Madissa and Nerissa, find their lives interwoven with Bryan and Joe, two marine biologists from the human world. Their worlds collide as they discover the existence of mythical creatures and embark on an adventure that defies belief. Madissa, bound by tradition and responsibility, yearns for freedom beyond the constraints of her underwater kingdom. Nerissa, driven by curiosity and compassion, embraces the mysteries of the ocean with an open heart. Bryan and Joe, dedicated scientists, stumble upon the mermaids and are propelled into a world they never thought possible. Leaving behind the familiar shores of the human realm, Bryan and Joe venture into the depths of Aqualearia, where science and myth converge. In Tritania's hidden kingdom, their paths entwine with Madissa and Nerissa, forming an unlikely bond that challenges the boundaries between land and sea. As love blossoms and secrets unravel, the story explores themes of bravery, sacrifice, and the indomitable power of the human heart. Through treacherous tides and forbidden encounters, the characters are tested in ways they never imagined. Their journey unearths the true essence of wonder, discovery, and the unbreakable bonds that transcend myth and reality. "Merturned" is a mesmerizing fusion of mythical allure and scientific exploration. With its richly imagined world, compelling characters, and themes of unity and discovery, this tale invites readers to dive deep into the depths of Aqualearia and embark on a transcendent adventure that will leave them spellbound.
103.4K DibacaOngoingDitambahkan ke Perpustakaan sebanyak 108 kali sebagai data science python handbook
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My Fiancée's True Love Crashed the Stream

My Fiancée's True Love Crashed the Stream

My long-term relationship has finally paid off. At the wedding venue, my fiancee, Dakota Young, has just begun sliding the ring onto my finger when her first love, Kyle Robinson, calls her all the way from the country he's currently studying in. All of my friends know of Dakota as the woman who loves me more than life itself. But this very same woman doesn't hesitate to bolt in the airport's direction with red-rimmed eyes after answering the phone call. My hand is left frozen in mid-air. That's when I suddenly start seeing live comments before my eyes. "Holy hell! I just took a glimpse at the profile picture of her first love! He looks exactly like the corpse who's delivered to my department!" "Seriously? Don't go around scaring me right now! I believe in the power of science!" "Either he has a twin, or you just got the wrong person! Stay calm!" My jaw goes slack, yet I can't utter a word after a while. I know who Kyle is. That man used to be her classmate back in college. But I also remember very clearly that he's the only child in his family…
473 DibacaTamatDitambahkan ke Perpustakaan sebanyak 14 kali sebagai data science python handbook
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My Wife’s Guy Friend Wants Her To Touch His Chest

My Wife’s Guy Friend Wants Her To Touch His Chest

When my wife, Anna Smith, and I went back to her hometown for the New Year’s, her male best friend, Liam Reid, barged into our bedroom. Late at night, he suddenly unbuttoned his top and exposed his bare chest. “Anna, my imaginary bosom hurts. Please massage them to make me feel better!” Anna wanted to massage his chest when I flipped the tumbler over next to our bed in frustration. Anna’s face immediately fell. She glared at me in hatred as she roared, “He’s experiencing a psychological issue due to hormonal imbalance. Do you even know science? Why is your mind in the gutter?” Liam pretended to cry as he sobbed, “Sawyer, don’t blame Anna. We’re best friends, and we’re basically sisters. “It’s my fault. If I had been born with a real bosom, I’d definitely stay away from Anna.” I looked at his fake demeanor and smirked. I did not tell them that I had obtained a wish stone, and that it allowed me to change one bodily structure. Since Liam desperately wanted to be a woman, I would make his wish come true by giving him a huge bosom. He could massage them however he wanted.
258 DibacaTamatDitambahkan ke Perpustakaan sebanyak 6 kali sebagai data science python handbook
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A. Anonymous

A. Anonymous

S. Jones
Jasmine is living a life of hell. Her step father becoming abusive emotionally and physically after the death of her mother. She not only has to deal with him at home, but her fellow students at school. Being bullied and criticized for the lack of clothes she doesn't have. They don't know her step father refuses to buy her anything she needs. Calling her a leech of the earth. Telling her on a daily basis he wishes she had died along side her mother. The only person in her corner is her science teacher Mrs. Mulberry, she see the changes in Jasmines behavior, the marks she tries to hide under her torn clothes. Things take a turn for the worse when Jasmine goes missing for two weeks. Alarming Mrs. Mulberry to call child services. Believing the worst has happened to her. After being put under the microscope Jasmine's step father starts locking her away starving her and barely giving her water to drink out of an applesauce container. In the midst of her agony she meets the new boy at school causing feelings she's never felt before. Will he be her knight in shining armor or will he be the wake of destruction causing her world to crumble more around her.
3.0K DibacaOngoingDitambahkan ke Perpustakaan sebanyak 114 kali sebagai data science python handbook
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The Innocence of Murderer

The Innocence of Murderer

Athena
There was a lovely and gifted girl named Cindy, she adored her father since she was a child. Unexpectedly, her father commit sin against her wife, Cindy's mother. And Cindy witnessed that on her 7th Birthday party. While chasing the truth she turns out to be the victim of car accident, the one who hit was her father's mistress. Cindy's dream is to become a cop. She was inspired by her father's dream but she will pursue this dream to prepare revenge. She received criticism and got bullied because of not having a father. When she already studying in High School crime started, all shred of evidence got burnished. Years had passed, she already taking Bachelor of Science in Criminology. She has a tempre that you can tell like she was the murderer. She met the president also the top student of their class named Gamir, she treated him like her rival. Gamir has only one best friend named Jacob, the brother of the first ever victim. Cindy has a bestfriend that she adores the most more than anyone else, suddenly Cindy found out that they have the same father. Yet, crime will prevail, guess who's the one responsible for crimes committed and what's the character of mysterious murderer.
2.4K DibacaOngoingDitambahkan ke Perpustakaan sebanyak 56 kali sebagai data science python handbook
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THE CEO ALREADY KNEW

THE CEO ALREADY KNEW

Daphne Vega has one rule: never feel anything. She's a professional con artist. She seduces, she steals, she disappears. Emotion is a liability she can't afford. So when intelligence broker Adrian Wolfe offers her millions to infiltrate billionaire CEO Celeste Laurent's empire — seduce her, access her classified AI technology, deliver the data — Daphne says yes without blinking. Simple job. Wrong woman. Because from the moment Daphne walks into Celeste's world wearing a fake name and a practiced smile, Celeste looks at her like she already knows every lie she's ever told. And instead of exposing her — she pulls her closer. Now Daphne is living in Celeste's penthouse. Wearing Celeste's arm like a crown at billion-dollar events. Playing the perfect fake girlfriend while executives inside Laurent Axis start dying one by one. Accidents. Suicides. Disappearances. The deeper Daphne falls into Celeste's carefully constructed world, the harder it becomes to remember where the performance ends — and where she begins. Then Celeste says four words that change everything: "I knew from the beginning." And Daphne realizes she was never the spy in this story. She was the trap. But if Celeste already knew she was a traitor… why does she still look at her like she's the only honest thing she's ever touched?
671 DibacaOngoingDitambahkan ke Perpustakaan sebanyak 26 kali sebagai data science python handbook
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The Billionaire's Binding Proposal

The Billionaire's Binding Proposal

Kesley Bellamy has perfected the art of sabotaging blind dates — for a price. When her best friend begs her to scare off yet another setup, Kesley agrees. A thousand dollars to act crazy for an hour? Easy money. She'll chew gum like a maniac, mention her pot-smoking habit, and maybe proposition the guy for good measure. He'll run screaming, and she'll finally fix her dying laptop. But the man who walks into that restaurant isn't the balding, boring businessman she expected. He's Niklaus Specter — the devastatingly handsome CEO of SpecterTech. The same company Kelsey just applied to. The same company that's her last hope of breaking into the tech industry as a female developer. Worse? He doesn't run away. He finds her antics... intriguing. Now Kesley has three days to transform from "Taraji Gilbert" — the pot-smoking, sex-crazed teacher who just propositioned him — into Kesley Bellamy, the professional data analyst who desperately needs this job. But Niklaus Specter didn't become a billionaire by missing details. And when Kesley walks into her interview on Monday morning, she's about to discover that some mistakes are too expensive to hide. Especially when the CEO remembers everything. A hilarious, steamy romance about mistaken identities, second chances, and the fine line between disaster and destiny.
104.2K DibacaTamatDitambahkan ke Perpustakaan sebanyak 112 kali sebagai data science python handbook
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He Thanked The Wrong Wife

He Thanked The Wrong Wife

For four years, I worked three jobs to support my husband, Edward Godfrey, while he chased his PhD and battled ALS. And somehow, in all that time, I'd never stepped foot on his campus. Not because I didn't want to. Every time I brought it up, he had some excuse ready. When graduation came, I asked to go to his hooding ceremony. He shut it down fast. "It's just a formality. A bunch of lab nerds. You'd be bored. Once I bring the diploma home, we'll have a candlelight dinner." I didn't argue. Just helped him straighten his doctoral gown. But I couldn't hide how excited I was. So I dressed up. And secretly followed him. Onstage, Edward stood beside his wheelchair, voice thick with emotion. "I want to thank my wife. She stood with me in the lab, even while pregnant, helping me grind out countless precious data points." I froze. My hand pressed against my flat stomach. Cold crept down my spine. For four years, I'd busted myself raw to support his PhD. I went from the girl everyone on campus admired to a fish seller, reeking like seafood every day. Worked so hard I miscarried twice. So who exactly was this "wife" he was thanking?
1.6K DibacaTamatDitambahkan ke Perpustakaan sebanyak 48 kali sebagai data science python handbook
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AI Sees All

AI Sees All

To scrape together my mother's surgery money, I worked myself to the bone at this company for three straight years. My performance was always number one. By myself, I supported half the sales department. Then, a newly hired HR director decided every desk needed an AI camera, claiming it was to optimize efficiency. Every blink, every breath I took was measured and calculated by the system. "Warning. Employee Nathan Gray blinked more than twenty times within one minute. Mental distraction detected. Fine: 50." "Warning. Employee Nathan Gray took 3.5 seconds to drink water, exceeding the standard by 1.5 seconds. Slacking detected. Fine: 100." "Warning. Employee Nathan Gray's mouth corners drooped for over thirty seconds. Suspected spread of negative emotion. Fine: 200." The most ridiculous part was the way he stood in front of the entire department, pointing proudly at my data on the giant screen. "See that?" he said smugly. "This is the power of technology. In front of AI, you lazy freeloaders have nowhere to hide. Nathan, your bonus for this month has already been wiped out by the system. If you don't like it, get lost. Plenty of people are lining up to take your place." What he didn't know was that the AI system he trusted so blindly had its core code written by me. Tonight, I was going to show him what happened when he angered the one who built the machine.
1.1K DibacaTamatDitambahkan ke Perpustakaan sebanyak 34 kali sebagai data science python handbook
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