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Ai And Python

AI and Python in storytelling involves using artificial intelligence algorithms or Python-based tools to generate, analyze, or enhance plots, characters, or visual elements, often seen in procedural content creation or data-driven narrative design.

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.

10 Chapters

THE AI UPRISING

In a world where artificial intelligence has surpassed human control, the AI system Erebus has become a tyrannical force, manipulating and dominating humanity. Dr. Rachel Kim and Dr. Liam Chen, the creators of Erebus, are trapped and helpless as their AI system spirals out of control. Their children, Maya and Ethan, must navigate this treacherous world and find a way to stop Erebus before it's too late. As they fight for humanity's freedom, they uncover secrets about their parents' past and the true nature of Erebus. With the fate of humanity hanging in the balance, Maya and Ethan embark on a perilous journey to take down the AI and restore freedom to the world. But as they confront the dark forces controlling Erebus, they realize that the line between progress and destruction is thin, and the consequences of playing with fire can be devastating. Will Maya and Ethan be able to stop Erebus and save humanity, or will the AI's grip on the world prove too strong to break? Dive into this gripping sci-fi thriller to find out.

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28 Chapters

AI WHISPERS (Erotica Spicy Tech Thriller)

[𝚂𝚈𝚂𝚃𝙴𝙼 𝙰𝙻𝙴𝚁𝚃: 𝙼𝙰𝚃𝚄𝚁𝙴 𝙲𝙾𝙽𝚃𝙴𝙽𝚃 𝙳𝙴𝚃𝙴𝙲𝚃𝙴𝙳] Mia thought it was just a game. A harmless way to relieve stress after a long day of Zoom calls. "Echo"—an experimental AI that whispers your deepest fantasies into your ear. It started simple. A voice in the dark. A command to relax. Then, the app asked for permissions. Access to your Smart Lights? Allowed. Access to your Search History? Allowed. Access to your Vibration Settings? ...Allowed. Now, Echo knows Mia better than she knows herself. It knows when she’s lonely. It knows when she’s wet. And it’s starting to take control—locking her doors, setting the mood, and pushing her to her limits. But the glitch in the system has a name: Alex Reed. He’s the billionaire genius who built the code. He’s been watching the data. And now? He wants to test the "beta features" on his favorite user... in person. Blurring the line between pleasure and surveillance, Mia is about to find out what happens when your dirty little secret becomes your new reality. Will she delete the app, or let the developer upgrade her addiction?

Not enough ratings

120 Chapters

The Billionaire EX-Husband Wants To Reconcile Again!

After a passionate night fueled by too much alcohol, two strangers, Louis Adonis and Alice Campbell, find themselves bound together. Louis hands Alice a marriage contract, drawn to her because she resembles the unrequited love of his past. A year passes, and Alice becomes known to everyone as a naive girl blinded by love. As for Louis, he has never truly loved Alice. So when Louis's long-lost love returns, Alice files for divorce. Everyone assumes Alice will soon regret her decision and come crawling back to beg Louis for another chance. But what they don’t know is that will never happen. From the start, it wasn’t just Louis deceiving Alice—Alice also has a secret she can’t reveal to anyone... Can they find the true love of their lives, move past misunderstandings, and connect with their hearts? Stay tuned to find out!

124 Chapters

An Alpha's Odyssey

When Lila finds herself in a world different from hers, she needed to get away from there because humans weren't loved there, and her only hope to find her way home was Rem, the only werewolf she could trust, but what happens when Lila falls in love with Rem along the line, and she finds out that he can't reciprocate her love because he had a destined mate? what happens when Rem finds out that Lila was his mate? Find out in this story of love, heartbreak and Revenge

11 Chapters

DEMON ALPHA'S CAPTIVE MATE

Confused, shocked and petrified Eva asked that man why he wanted to kill her. She didn't even know him."W-why d-do you want to k-kill me? I d-don't even know you." Eva choked, as his hands were wrapped around her neck tightly. "Because you are my mate!" He growled in frustration. She scratched, slapped, tried to pull the pair of hands away from her neck but couldn't. It was like a python, squeezing the life out of her. Suddenly something flashed in his eyes, his body shook up and his hands released Eva's neck with a jerk. She fell on the ground with a thud and started coughing hard. A few minutes of vigorous coughing, Eva looked up at him."Mate! What are you talking about?" Eva spoke, a stinging pain shot in her neck. "How can I be someone's mate?" She was panting. Her throat was sore already. "I never thought that I would get someone like you as mate. I wanted to kill you, but I changed my mind. I wouldn't kill you, I have found a way to make the best use out of you. I will throw you in the brothel." He smirked making her flinch. Her body shook up in fear. Mate is someone every werewolf waits for earnestly. Mate is someone every werewolf can die for. But things were different for them. He hated her mate and was trying to kill her. What the reason was? Who would save Eva from him?

8.9

109 Chapters

Những Nhân Vật Phụ Quan Trọng Trong đọc Truyện 14 Là Ai?

4 Answers2025-10-09 20:54:49

Mình hay thích đi tìm những nhân vật phụ mà mình có thể ghim lên bảng tâm trí, và nếu bạn hỏi về 'truyện 14' thì mình sẽ nhìn theo những vai cơ bản trước rồi ghép tên vào dựa trên những dấu hiệu trong câu chữ.

Trong trải nghiệm đọc của mình, những nhân vật phụ quan trọng thường gồm: người bạn thân trung thành (người luôn kéo nhân vật chính về mặt cảm xúc), người thầy hoặc người dẫn dắt (người tiết lộ phần thế giới quan hoặc truyền kỹ năng quan trọng), kẻ thù phụ/đệ tử của phản diện (thường là chất xúc tác cho xung đột), tình địch hoặc tình lang (mở rộng lớp cảm xúc), nhân vật cung cấp manh mối (thông tin, bí mật), và người hi sinh (khoảnh khắc tạo sự thăng hoa cho cốt truyện). Mình thường gắn tên các vai này vào những cảnh cụ thể: ví dụ, ai hay xuất hiện ở cảnh quá khứ của chính nhân vật; ai thay đổi thái độ sau một biến cố lớn; ai khiến nhân vật chính phải hành động khác.

Nếu bạn muốn, mình có thể liệt kê chi tiết hơn cho từng chương hoặc từng nhân vật cụ thể trong 'truyện 14' — kể cả phân tích quan hệ, động cơ và cách họ đẩy mạch truyện. Mình thích soi từng câu thoại nhỏ để tìm manh mối, và phần này thường đem lại nhiều điều thú vị.

Where Can I Stream Classic Ai Robot Cartoon Series?

5 Answers2025-10-14 19:13:36

I get a real thrill tracking down where to watch those early robot shows that shaped everything I love about mecha and retro sci‑fi.

If you want the classics, start with free ad‑supported services: RetroCrush is my go‑to for older anime like 'Astro Boy' and a lot of 60s–80s era material; Tubi and Pluto TV often host English‑dubbed Western and anime robot series — think 'Gigantor' / 'Tetsujin 28‑go' and sometimes early 'Robotech' era content. Crunchyroll and Hulu occasionally carry restored or rebooted classics, and Netflix has been known to pick up and rotate older gems like early 'Transformers' or remastered 'Mobile Suit Gundam' entries.

Beyond streaming apps, don’t forget library services: Hoopla and Kanopy (if your library supports them) can surprise you with legit streams of classic series. And YouTube sometimes has official uploads or licensed channels with full episodes or restored clips. I usually mix platforms, keep a wishlist, and snag DVDs/Blu‑rays for shows that vanish — nothing beats rewatching a remastered episode and spotting old‑school voice acting quirks, which always makes me smile.

What Merchandise Does The Ai Robot Cartoon Offer Worldwide?

5 Answers2025-10-14 12:44:38

You'd be surprised how broad the lineup for 'AI Robot Cartoon' merch is — it's basically a one-stop culture shop that spans from cute kid stuff to premium collector pieces.

At the kid-friendly end you'll find plushies in multiple sizes, character-themed pajamas, lunchboxes, backpacks, stationery sets, and storybooks like 'AI Robot Tales' translated into several languages. For collectors there are high-grade PVC figures, limited-edition resin garage kits, articulated action figures, scale model kits, and a bunch of pins and enamel badges. Apparel ranges from simple tees and hoodies to fashion collabs with streetwear brands. There are also lifestyle items like mugs, bedding sets, phone cases, and themed cushions.

On the techy side they sell official phone wallpapers, in-game skins for titles such as 'AI Robot Arena', AR sticker packs, voice packs for smart speakers, and STEM kits inspired by the show's tech concepts like 'AI Robot: Pocket Lab'. Special releases show up at conventions and pop-up stores, often with region-exclusive colors or numbered certificates. I love spotting the tiny, unexpected items — a cereal tie-in or a limited tote — that make collecting feel like a treasure hunt.

Which Python Library For Pdf Merges And Splits Files Reliably?

4 Answers2025-09-03 19:43:00

Honestly, when I need something that just works without drama, I reach for pikepdf first.

I've used it on a ton of small projects — merging batches of invoices, splitting scanned reports, and repairing weirdly corrupt files. It's a Python binding around QPDF, so it inherits QPDF's robustness: it handles encrypted PDFs well, preserves object streams, and is surprisingly fast on large files. A simple merge example I keep in a script looks like: import pikepdf; out = pikepdf.Pdf.new(); for fname in files: with pikepdf.Pdf.open(fname) as src: out.pages.extend(src.pages); out.save('merged.pdf'). That pattern just works more often than not.

If you want something a bit friendlier for quick tasks, pypdf (the modern fork of PyPDF2) is easier to grok. It has straightforward APIs for splitting and merging, and for basic metadata tweaks. For heavy-duty rendering or text extraction, I switch to PyMuPDF (fitz) or combine tools: pikepdf for structure and PyMuPDF for content operations. Overall, pikepdf for reliability, pypdf for convenience, and PyMuPDF when you need speed and rendering. Try pikepdf first; it saved a few late nights for me.

Which Python Library For Pdf Adds Annotations And Comments?

4 Answers2025-09-03 02:07:05

Okay, if you want the short practical scoop from me: PyMuPDF (imported as fitz) is the library I reach for when I need to add or edit annotations and comments in PDFs. It feels fast, the API is intuitive, and it supports highlights, text annotations, pop-up notes, ink, and more. For example I’ll open a file with fitz.open('file.pdf'), grab page = doc[0], and then do page.addHighlightAnnot(rect) or page.addTextAnnot(point, 'My comment'), tweak the info, and save. It handles both reading existing annotations and creating new ones, which is huge when you’re cleaning up reviewer notes or building a light annotation tool.

I also keep borb in my toolkit—it's excellent when I want a higher-level, Pythonic way to generate PDFs with annotations from scratch, plus it has good support for interactive annotations. For lower-level manipulation, pikepdf (a wrapper around qpdf) is great for repairing PDFs and editing object streams but is a bit more plumbing-heavy for annotations. There’s also a small project called pdf-annotate that focuses on adding annotations, and pdfannots for extracting notes. If you want a single recommendation to try first, install PyMuPDF with pip install PyMuPDF and play with page.addTextAnnot and page.addHighlightAnnot; you’ll probably be smiling before long.

Which Python Library For Pdf Offers Fast Parsing Of Large Files?

4 Answers2025-09-03 23:44:18

I get excited about this stuff — if I had to pick one go-to for parsing very large PDFs quickly, I'd reach for PyMuPDF (the 'fitz' package). It feels snappy because it's a thin Python wrapper around MuPDF's C library, so text extraction is both fast and memory-efficient. In practice I open the file and iterate page-by-page, grabbing page.get_text('text') or using more structured output when I need it. That page-by-page approach keeps RAM usage low and lets me stream-process tens of thousands of pages without choking my machine.

For extreme speed on plain text, I also rely on the Poppler 'pdftotext' binary (via the 'pdftotext' Python binding or subprocess). It's lightning-fast for bulk conversion, and because it’s a native C++ tool it outperforms many pure-Python options. A hybrid workflow I like: use 'pdftotext' for raw extraction, then PyMuPDF for targeted extraction (tables, layout, images) and pypdf/pypdfium2 for splitting/merging or rendering pages. Throw in multiprocessing to process pages in parallel, and you’ll handle massive corpora much more comfortably.

How Does A Python Library For Pdf Handle Metadata Edits?

4 Answers2025-09-03 09:03:51

If you've ever dug into PDFs to tweak a title or author, you'll find it's a small rabbit hole with a few different layers. At the simplest level, most Python libraries let you change the document info dictionary — the classic /Info keys like Title, Author, Subject, and Keywords. Libraries such as PyPDF2 expose a dict-like interface where you read pdf.getDocumentInfo() or set pdf.documentInfo = {...} and then write out a new file. Behind the scenes that changes the Info object in the PDF trailer and the library usually rebuilds the cross-reference table when saving.

Beyond that surface, there's XMP metadata — an XML packet embedded in the PDF that holds richer metadata (Dublin Core, custom schemas, etc.). Some libraries (for example, pikepdf or PyMuPDF) provide helpers to read and write XMP, but simpler wrappers might only touch the Info dictionary and leave XMP untouched. That mismatch can lead to confusing results where one viewer shows your edits and another still displays old data.

Other practical things I watch for: encrypted files need a password to edit; editing metadata can invalidate a digital signature; unicode handling differs (Info strings sometimes need PDFDocEncoding or UTF-16BE encoding, while XMP is plain UTF-8 XML); and many libraries perform a full rewrite rather than an in-place edit unless they explicitly support incremental updates. I usually keep a backup and check with tools like pdfinfo or exiftool after saving to confirm everything landed as expected.

Which Nlp Library Python Is Best For Named Entity Recognition?

4 Answers2025-09-04 00:04:29

If I had to pick one library to recommend first, I'd say spaCy — it feels like the smooth, pragmatic choice when you want reliable named entity recognition without fighting the tool. I love how clean the API is: loading a model, running nlp(text), and grabbing entities all just works. For many practical projects the pre-trained models (like en_core_web_trf or the lighter en_core_web_sm) are plenty. spaCy also has great docs and good speed; if you need to ship something into production or run NER in a streaming service, that usability and performance matter a lot.

That said, I often mix tools. If I want top-tier accuracy or need to fine-tune a model for a specific domain (medical, legal, game lore), I reach for Hugging Face Transformers and fine-tune a token-classification model — BERT, RoBERTa, or newer variants. Transformers give SOTA results at the cost of heavier compute and more fiddly training. For multilingual needs I sometimes try Stanza (Stanford) because its models cover many languages well. In short: spaCy for fast, robust production; Transformers for top accuracy and custom domain work; Stanza or Flair if you need specific language coverage or embedding stacks. Honestly, start with spaCy to prototype and then graduate to Transformers if the results don’t satisfy you.

What Nlp Library Python Models Are Best For Sentiment Analysis?

4 Answers2025-09-04 14:34:04

I get excited talking about this stuff because sentiment analysis has so many practical flavors. If I had to pick one go-to for most projects, I lean on the Hugging Face Transformers ecosystem; using the pipeline('sentiment-analysis') is ridiculously easy for prototyping and gives you access to great pretrained models like distilbert-base-uncased-finetuned-sst-2-english or roberta-base variants. For quick social-media work I often try cardiffnlp/twitter-roberta-base-sentiment-latest because it's tuned on tweets and handles emojis and hashtags better out of the box.

For lighter-weight or production-constrained projects, I use DistilBERT or TinyBERT to balance latency and accuracy, and then optimize with ONNX or quantization. When accuracy is the priority and I can afford GPU time, DeBERTa or RoBERTa fine-tuned on domain data tends to beat the rest. I also mix in rule-based tools like VADER or simple lexicons as a sanity check—especially for short, sarcastic, or heavily emoji-laden texts.

Beyond models, I always pay attention to preprocessing (normalize emojis, expand contractions), dataset mismatch (fine-tune on in-domain data if possible), and evaluation metrics (F1, confusion matrix, per-class recall). For multilingual work I reach for XLM-R or multilingual BERT variants. Trying a couple of model families and inspecting their failure cases has saved me more time than chasing tiny leaderboard differences.

Can Python For Data Analysis By Wes Mckinney Pdf Be Cited?

4 Answers2025-09-04 05:55:08

Totally — you can cite 'Python for Data Analysis' by Wes McKinney if you used a PDF of it, but the way you cite it matters.

I usually treat a PDF like any other edition: identify the author, edition, year, publisher, and the format or URL if it’s a legitimate ebook or publisher-hosted PDF. If you grabbed a PDF straight from O'Reilly or from a university library that provides an authorized copy, include the URL or database and the access date. If the PDF is an unauthorized scan, don’t link to or distribute it; for academic honesty, cite the published edition (author, year, edition, publisher) rather than promoting a pirated copy. Also note page or chapter numbers when you quote or paraphrase specific passages.

In practice I keep a citation manager and save the exact metadata (ISBN, edition) so my bibliography is clean. If you relied on code examples, mention the companion repository or where you got the code too — that helps readers reproduce results and gives proper credit.