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The Manager Regrets Firing Me

The Manager Regrets Firing Me

I had been managing the company’s warehouse software for five years. Then the new manager came to me out of the blue, saying I didn’t understand frontline operations and that I was being fired. Looking at the five-thousand-dollar severance, I just nodded. “Fine.” He patted my shoulder after seeing me so compliant and started lecturing. “Young people should be out on the line, moving boxes! What’s the use of sitting in the office staring at data every day? “We’re a logistics company. Strength is what matters, not a tech geek like you!” I glanced at the high-end gaming computer in his office and obediently replied, “Yes, Mr. Fuller. Lesson received.” Maybe I had been too comfortable these past few years, and he thought I was dispensable. So, I handed over my ID badge and casually deleted all my personal login keys from my computer. Little did he know that the entire warehouse logistics, inventory management, and route planning software had been coded by me. I had let the company use it for free simply because the place was close to home and the work was easy. Now that I was gone, the system running on my personal cloud server was naturally inaccessible. Tens of thousands of items in the warehouse ground to a halt. As for any commercial software that could replace my system, a year’s subscription would cost exactly one thousand times my severance.
867 viewsCompletedAdded to Library 24 Times as data science python handbook
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Her Unborn Baby's Voice

Her Unborn Baby's Voice

My wife had risen through the ranks of the Confidential Bureau, becoming its youngest team leader—all thanks to the "voice" of the baby boy in her womb, who could somehow identify traitors from within. When the holidays came, I went to visit her. But the moment I arrived, I heard the voice of that unborn child in her belly. "Ah, it's Bad Daddy! He's the one who's been secretly selling off the core technology!" I froze, stunned. Before I could even speak, my wife raised her gun and fired. The bullet tore through my shoulder. "Who did you sell the technology to? Talk!" Through the searing pain, I struggled to explain. "I don't even know what technology you're talking about. How could I possibly—" Her expression turned glacial. Without a word, she lifted the gun again and pulled the trigger, blowing my head apart. "Mommy is amazing! Bad Daddy is finally gone. The stolen data is all hidden on that USB drive." Even as I died, I couldn't understand how I had become a traitor. When I opened my eyes again, I found myself back on the day of the visit. This time, I took the initiative. I pulled out the USB drive and handed it to my wife. "If this is the evidence you want," I said, "go ahead, shoot me."
233 viewsCompletedAdded to Library 6 Times as data science python handbook
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Shredding Riches, Sparking Madness

Shredding Riches, Sparking Madness

After I come back to decades ago, the first thing I do is feed a million-dollar production patent to the pigs. In my previous life, I handed that patent over to the government. My husband turned me in, accusing me of faking the data and scamming a fortune in patent royalties. Overnight, I went from being a celebrated genius researcher to a lying thief that everyone despised. As I prepared to pull out my manuscript to prove my innocence, my husband's childhood sweetheart beat me to it. She waved it in front of everyone and accused me of misconduct and plagiarism. My husband took her side, reprimanding me, "I know you've always been jealous of Juni for being well-educated, but I can't believe you were bold enough to steal her hard work. What are you going to do next? Embezzle state funds?" I couldn't defend myself. No matter what I said, no one chose to believe me. The other researchers assaulted me so badly that I bled out and died. After my death, my husband and his childhood sweetheart took my patent without a second thought. The never-ending stream of patent royalties made them rich and powerful. When I open my eyes again, I'm back on the very day she accuses me of stealing.
2.9K viewsCompletedAdded to Library 92 Times as 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.
949 viewsCompletedAdded to Library 30 Times as 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?
1.3K viewsCompletedAdded to Library 41 Times as data science python handbook
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The Professor and Her Varsity Twins: A Campus Scandal

The Professor and Her Varsity Twins: A Campus Scandal

Alessandra Moore built her reputation on discipline, control, and teaching political scandals — not becoming one. A respected Political Science professor known for dissecting presidential downfalls, she understands exactly how careers are ruined. What she never expected was to be undone by two of her own students — the infamous varsity baseball twins dominating campus headlines. Liam is the golden face of varsity baseball — charming, dominant, untouchable. Ethan is the quieter shadow at his side — deaf, reserved, and far more dangerous in his silence than anyone realizes. They rule the field in different ways. Both are completely forbidden. When a single drunken moment explodes into a campus-wide scandal, Alessandra is dragged into the spotlight — facing public humiliation, NCAA scrutiny, and a university ethics investigation that threatens to destroy everything she has built. But scandals don’t just expose secrets — they reveal desires. As media pressure mounts and gossip spreads across campus, Alessandra must decide whether the fallout will ruin her… or bind her irrevocably to the varsity twins who started it all. On a campus obsessed with power, image, and control — who truly owns the narrative? Tropes: reverse age gap, forbidden romance, professor x student, campus scandal, varsity baseball, twins romance, love triangle, viral controversy, sports romance, slow burn, power dynamic, public humiliation, college drama, emotional tension, spicy romance.
348 viewsOngoingAdded to Library 8 Times as data science python handbook
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The Billionaire Who Bought Me The Moon

The Billionaire Who Bought Me The Moon

“No! I don’t care if you buy me the city skyline, Jason. I’d still tell you to fuck off.” Jason Hale smirked. “What if I bought you the moon?” Samantha Torres’ life isn’t what she planned. Once a top science student, she now waits tables to pay off debt and care for her family. And the one wound she’s never healed? Jason, the man she loved in college, who cheated and broke her heart. Now, five years later, Jason is back. He’s heir to a billion–dollar empire and determined to win her again. He claims he’s changed, and he tempts her with lavish gifts, promises, and the same charm that once ruined her. But Jason has dangerous secrets, and Samantha swore that she would never fall for him again. Until her brother’s gambling debt pulls the mob to her doorstep…and Jason becomes the only man who can save her. Now she is drawn back into his world of wealth and risk, and Samantha finds herself torn between old wounds and new desires. But enemies circle fast: his ruthless twin, the woman who once came between them, and a rival who wants her for himself. Will Samantha walk away from Jason, or will she risk everything to find out if love is worth the danger?
101.9K viewsOngoingAdded to Library 70 Times as data science python handbook
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Framed Every Lifetime

Framed Every Lifetime

During the annual awards gala, I stepped out to use the restroom. When I came back, my year-end bonus was gone, canceled for allegedly assaulting a new coworker, Elan Crowe. In my first life, I desperately tried to prove my innocence by showing my fitness tracker’s movement data, proving I had been in the bathroom. Calder Roane, the department head, flew into a rage. "Everyone in the department saw you hit him. And you still want to deny it?" I struggled and explained frantically, but in the chaos, I accidentally fell down the stairs and died on the spot. In my second life, I took medical leave and skipped the gala entirely. I never expected that just past noon, the police would surround my home. "Lyra Vale, you’re suspected of intentional homicide. You need to come with us." Elan’s enraged family had then rushed forward and stabbed me repeatedly. I died again. In my third life, I ran to the city plaza, started a livestream, and rapped on camera, turning every viewer into my alibi. That night, the police still came. "The evidence is conclusive. Please come with us." At the station, they pulled up surveillance footage. It clearly showed me sneaking into the gala hall, arguing with Elan, then picking up a knife and stabbing him straight in the back. I was completely stunned. Three days later, I took a bullet. After endless rebirths, I finally laughed in anger. This time, I stormed straight into the gala hall, pressed a knife across Elan's throat, and said, "This is a kidnapping."
2.2K viewsCompletedAdded to Library 57 Times as data science python handbook
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Paying Me with His Life

Paying Me with His Life

I throw myself into cryogenic research so I can keep my only family on this Earth. However, halfway through it, my fiancé embezzles all the funds to propose to Sophia Kensington, his true love. I panic when I see the ice in Mom's brain start to melt. I have no money to continue with the research. I'm in utter despair when Leonard Shaw, a rising star in the biomedical field, comes to me with millions of dollars in funding. The research can continue. Just three days later, something goes wrong with the experiment. Mom explodes in cryogenic chamber. I'm shattered by this, but Leonard stays by my side throughout it all. He helps me move past this and continue with my research. I think he's the light of my life until I overhear his conversation with his secretary. "Is it worth it marrying someone you don't love for Ms. Kensington's sake, Mr. Shaw?" "Sophia is my life. I'm willing to do anything as long as she's healthy and happy." "But will Mrs. Shaw still continue helping Ms. Kensington if she learns you tampered with the data and killed her mother?" "She'll never find out. Besides, I'm already using the rest of my life to make it up to her. That's more than enough…" It turns out Leonard's love is just a conspiracy. My heart turns to ashes in that moment. I sign an agreement to seal my body cryogenically. He'll never find me ever again.
3.8K viewsCompletedAdded to Library 115 Times as data science python handbook
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TAMING THE BILLIONAIRE; My Brother's Best Friend

TAMING THE BILLIONAIRE; My Brother's Best Friend

Ethan Banks never planned to fail. Fresh out of New York University with a degree in Computer Science, he expected to land the kind of career that would prove to his family back in Bay City, Texas, that he could stand on his own two feet. Instead, New York City chewed him up and spit him out, interview after interview leaving him rejected and exhausted. He refused to run home and let his parents—or worse, his older brother—fix everything for him. He needed to make it here. On his own. When he finally secures a position at Warner Industries the largest tech empire in the city Ethan thinks his luck has turned. Until he meets the man behind the empire. Aaron Warner. His brother’s childhood best friend. His secret ex-boyfriend. The boy who once set his heart on fire, then vanished without a word. But the Aaron he knew is gone. In his place is a billionaire CEO with a reputation as ruthless as the empire he built. Cold. Calculating. Untouchable. And when Ethan demands answers about their past, Aaron offers only one shocking ultimatum: marry me—or walk away. Caught between the success he’s dreamed of and the love that once destroyed him, Ethan must decide if he’s willing to risk everything for the one man he swore he’d never forgive.
716.4K viewsCompletedAdded to Library 639 Times as data science python handbook
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