#web scraping applications

[appiness-blogs]

https://www.appinessworld.com/blogs/web-scraping-using-node-js/

[novella-november]

Well. I have a feeling I'm about to have a million new followers. (March 31st, 2025; not an April Fool's joke, unless Nanowrimo has very poor taste and timing)

Here's a link that explains in long video format the whole entire thing in detail:

and to sum it up:

This blog was made as an Anti-Generative AI to Nanowrimo, as well as a way to actually build a friendly, low-pressure, helpful community of aspiring writers, without the hard-fast-do-it-or-die pressure brought on by nanowrimo.

There is no official "contest" -- only a community coming together to inspire each other to write, help out with motivation by setting community goals, keeping participation motivation via Trackbear.app, etc!

The most popular writing challenge is still November for most people, but I myself have also started to keep a year-round, daily writing goal of 444 via the website 4thewords, which has been an extreme help in getting me to write a little at a time.

This year has been very hectic for everyone what with the election results so I haven't been very active on tumblr (I think everyone can understand that) but I was originally planning on also having each month of the year being a different themed writing / art challenge but got a bit distracted real life.

So, what is the Novella November Challenge?

It's a fun challenge where writers come together to write 30,000 (or your own personal writing goal!) words in 30 days, sharing tips, writing advice, plot ideas, accessibility aids, and committing to having fun while explicitly fighting back against Generative AI by using our own words and disavowing the use of scraping and generating to take away the livelyhoods of artists of all spectrums, and proving everyone who insists "generative AI is an accessibility tool" wrong by committing to our creative visions and making it easier for everyone to find the tools they need to succeed by sharing tips, free programs, and finding a like-minded community to support you! 💙

There is no official website, there is no required place to show your participation, this is a community initiative that will never be monetized by predatory sponsors or dangerous moderators abusing their power.

This blog is here to inspire everyone, regardless of experience level, to write and create the story they want to tell, in their own words, while striving to remain a fun, low-pressure challenge that doesn't turn into a stressful spiral, like often happened with Nano.

Want to start writing but not sure how? Don't have money to spend on expensive writing programs? Have no fear!

LibreOffice: An always free, open-source alternative to Microsoft Word (and Microsoft's other office suits)

4Thewords: A website (both desktop and mobile web browser) that syncs your writing cross platform to the cloud, with built-in daily word goals, streak tracking, and you can fight monsters with your word count to game-ify writing!

Trackbear: A website dedicated to tracking your writing, setting custom goals, and creating leaderboards for community participation; you can join the year-long community leaderboard with the Join Code "f043cc66-6d5d-45b2-acf1-204626a727ba" and a November-limited one will release on November 1st as well.

Want to use Text to Speech to dictate your novel?

Most modern phones have a built-in option available on your keyboard settings which can be used on any writing program on your phone, and most modern PCs that allow a microphone (including headphone) connection has some kind of native dictation function, which you can find by opening your start panel and searching your computer for "Speech to text" or "voice to text".

Want to write while on the go, but don't want to / can't use the small phone keyboard to type, or speech to text?

You can, for as cheap as $40, buy a bluetooth keyboard that you can pair with your smart phone or tablet and use to write in any and all writing applications on your phone -- this allows you to write on the goal (especially using cross-platform websites or services, like 4thewords or google docs) , and the small screen can also help minimize distractions by muting notifications in your writing time.

[afeelgoodblog]

The Best News of Last Week - March 18

1. FDA to Finally Outlaw Soda Ingredient Prohibited Around The World

An ingredient once commonly used in citrus-flavored sodas to keep the tangy taste mixed thoroughly through the beverage could finally be banned for good across the US. BVO, or brominated vegetable oil, is already banned in many countries, including India, Japan, and nations of the European Union, and was outlawed in the state of California in October 2022.

2. AI makes breakthrough discovery in battle to cure prostate cancer

Scientists have used AI to reveal a new form of aggressive prostate cancer which could revolutionise how the disease is diagnosed and treated.

A Cancer Research UK-funded study found prostate cancer, which affects one in eight men in their lifetime, includes two subtypes. It is hoped the findings could save thousands of lives in future and revolutionise how the cancer is diagnosed and treated.

3. “Inverse vaccine” shows potential to treat multiple sclerosis and other autoimmune diseases

A new type of vaccine developed by researchers at the University of Chicago’s Pritzker School of Molecular Engineering (PME) has shown in the lab setting that it can completely reverse autoimmune diseases like multiple sclerosis and type 1 diabetes — all without shutting down the rest of the immune system.

4. Paris 2024 Olympics makes history with unprecedented full gender parity

In a historic move, the International Olympic Committee (IOC) has distributed equal quotas for female and male athletes for the upcoming Olympic Games in Paris 2024. It is the first time The Olympics will have full gender parity and is a significant milestone in the pursuit of equal representation and opportunities for women in sports.

Biased media coverage lead girls and boys to abandon sports.

5. Restored coral reefs can grow as fast as healthy reefs in just 4 years, new research shows

Planting new coral in degraded reefs can lead to rapid recovery – with restored reefs growing as fast as healthy reefs after just four years. Researchers studied these reefs to assess whether coral restoration can bring back the important ecosystem functions of a healthy reef.

“The speed of recovery we saw is incredible,” said lead author Dr Ines Lange, from the University of Exeter.

6. EU regulators pass the planet's first sweeping AI regulations

The EU is banning practices that it believes will threaten citizens' rights. "Biometric categorization systems based on sensitive characteristics" will be outlawed, as will the "untargeted scraping" of images of faces from CCTV footage and the web to create facial recognition databases.

Other applications that will be banned include social scoring; emotion recognition in schools and workplaces; and "AI that manipulates human behavior or exploits people’s vulnerabilities."

7. Global child deaths reach historic low in 2022 – UN report

The number of children who died before their fifth birthday has reached a historic low, dropping to 4.9 million in 2022.

The report reveals that more children are surviving today than ever before, with the global under-5 mortality rate declining by 51 per cent since 2000.

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That's it for this week :)

This newsletter will always be free. If you liked this post you can support me with a small kofi donation here:

Buy me a coffee ❤️

Also don’t forget to reblog this post with your friends.

[mostlysignssomeportents]

Humans are not perfectly vigilant

I'm on tour with my new, nationally bestselling novel The Bezzle! Catch me in BOSTON with Randall "XKCD" Munroe (Apr 11), then PROVIDENCE (Apr 12), and beyond!

Here's a fun AI story: a security researcher noticed that large companies' AI-authored source-code repeatedly referenced a nonexistent library (an AI "hallucination"), so he created a (defanged) malicious library with that name and uploaded it, and thousands of developers automatically downloaded and incorporated it as they compiled the code:

https://www.theregister.com/2024/03/28/ai_bots_hallucinate_software_packages/

These "hallucinations" are a stubbornly persistent feature of large language models, because these models only give the illusion of understanding; in reality, they are just sophisticated forms of autocomplete, drawing on huge databases to make shrewd (but reliably fallible) guesses about which word comes next:

https://dl.acm.org/doi/10.1145/3442188.3445922

Guessing the next word without understanding the meaning of the resulting sentence makes unsupervised LLMs unsuitable for high-stakes tasks. The whole AI bubble is based on convincing investors that one or more of the following is true:

There are low-stakes, high-value tasks that will recoup the massive costs of AI training and operation;

There are high-stakes, high-value tasks that can be made cheaper by adding an AI to a human operator;

Adding more training data to an AI will make it stop hallucinating, so that it can take over high-stakes, high-value tasks without a "human in the loop."

These are dubious propositions. There's a universe of low-stakes, low-value tasks – political disinformation, spam, fraud, academic cheating, nonconsensual porn, dialog for video-game NPCs – but none of them seem likely to generate enough revenue for AI companies to justify the billions spent on models, nor the trillions in valuation attributed to AI companies:

https://locusmag.com/2023/12/commentary-cory-doctorow-what-kind-of-bubble-is-ai/

The proposition that increasing training data will decrease hallucinations is hotly contested among AI practitioners. I confess that I don't know enough about AI to evaluate opposing sides' claims, but even if you stipulate that adding lots of human-generated training data will make the software a better guesser, there's a serious problem. All those low-value, low-stakes applications are flooding the internet with botshit. After all, the one thing AI is unarguably very good at is producing bullshit at scale. As the web becomes an anaerobic lagoon for botshit, the quantum of human-generated "content" in any internet core sample is dwindling to homeopathic levels:

https://pluralistic.net/2024/03/14/inhuman-centipede/#enshittibottification

This means that adding another order of magnitude more training data to AI won't just add massive computational expense – the data will be many orders of magnitude more expensive to acquire, even without factoring in the additional liability arising from new legal theories about scraping:

https://pluralistic.net/2023/09/17/how-to-think-about-scraping/

That leaves us with "humans in the loop" – the idea that an AI's business model is selling software to businesses that will pair it with human operators who will closely scrutinize the code's guesses. There's a version of this that sounds plausible – the one in which the human operator is in charge, and the AI acts as an eternally vigilant "sanity check" on the human's activities.

For example, my car has a system that notices when I activate my blinker while there's another car in my blind-spot. I'm pretty consistent about checking my blind spot, but I'm also a fallible human and there've been a couple times where the alert saved me from making a potentially dangerous maneuver. As disciplined as I am, I'm also sometimes forgetful about turning off lights, or waking up in time for work, or remembering someone's phone number (or birthday). I like having an automated system that does the robotically perfect trick of never forgetting something important.

There's a name for this in automation circles: a "centaur." I'm the human head, and I've fused with a powerful robot body that supports me, doing things that humans are innately bad at.

That's the good kind of automation, and we all benefit from it. But it only takes a small twist to turn this good automation into a nightmare. I'm speaking here of the reverse-centaur: automation in which the computer is in charge, bossing a human around so it can get its job done. Think of Amazon warehouse workers, who wear haptic bracelets and are continuously observed by AI cameras as autonomous shelves shuttle in front of them and demand that they pick and pack items at a pace that destroys their bodies and drives them mad:

https://pluralistic.net/2022/04/17/revenge-of-the-chickenized-reverse-centaurs/

Automation centaurs are great: they relieve humans of drudgework and let them focus on the creative and satisfying parts of their jobs. That's how AI-assisted coding is pitched: rather than looking up tricky syntax and other tedious programming tasks, an AI "co-pilot" is billed as freeing up its human "pilot" to focus on the creative puzzle-solving that makes coding so satisfying.

But an hallucinating AI is a terrible co-pilot. It's just good enough to get the job done much of the time, but it also sneakily inserts booby-traps that are statistically guaranteed to look as plausible as the good code (that's what a next-word-guessing program does: guesses the statistically most likely word).

This turns AI-"assisted" coders into reverse centaurs. The AI can churn out code at superhuman speed, and you, the human in the loop, must maintain perfect vigilance and attention as you review that code, spotting the cleverly disguised hooks for malicious code that the AI can't be prevented from inserting into its code. As "Lena" writes, "code review [is] difficult relative to writing new code":

https://twitter.com/qntm/status/1773779967521780169

Why is that? "Passively reading someone else's code just doesn't engage my brain in the same way. It's harder to do properly":

https://twitter.com/qntm/status/1773780355708764665

There's a name for this phenomenon: "automation blindness." Humans are just not equipped for eternal vigilance. We get good at spotting patterns that occur frequently – so good that we miss the anomalies. That's why TSA agents are so good at spotting harmless shampoo bottles on X-rays, even as they miss nearly every gun and bomb that a red team smuggles through their checkpoints:

https://pluralistic.net/2023/08/23/automation-blindness/#humans-in-the-loop

"Lena"'s thread points out that this is as true for AI-assisted driving as it is for AI-assisted coding: "self-driving cars replace the experience of driving with the experience of being a driving instructor":

https://twitter.com/qntm/status/1773841546753831283

In other words, they turn you into a reverse-centaur. Whereas my blind-spot double-checking robot allows me to make maneuvers at human speed and points out the things I've missed, a "supervised" self-driving car makes maneuvers at a computer's frantic pace, and demands that its human supervisor tirelessly and perfectly assesses each of those maneuvers. No wonder Cruise's murderous "self-driving" taxis replaced each low-waged driver with 1.5 high-waged technical robot supervisors:

https://pluralistic.net/2024/01/11/robots-stole-my-jerb/#computer-says-no

AI radiology programs are said to be able to spot cancerous masses that human radiologists miss. A centaur-based AI-assisted radiology program would keep the same number of radiologists in the field, but they would get less done: every time they assessed an X-ray, the AI would give them a second opinion. If the human and the AI disagreed, the human would go back and re-assess the X-ray. We'd get better radiology, at a higher price (the price of the AI software, plus the additional hours the radiologist would work).

But back to making the AI bubble pay off: for AI to pay off, the human in the loop has to reduce the costs of the business buying an AI. No one who invests in an AI company believes that their returns will come from business customers to agree to increase their costs. The AI can't do your job, but the AI salesman can convince your boss to fire you and replace you with an AI anyway – that pitch is the most successful form of AI disinformation in the world.

An AI that "hallucinates" bad advice to fliers can't replace human customer service reps, but airlines are firing reps and replacing them with chatbots:

https://www.bbc.com/travel/article/20240222-air-canada-chatbot-misinformation-what-travellers-should-know

An AI that "hallucinates" bad legal advice to New Yorkers can't replace city services, but Mayor Adams still tells New Yorkers to get their legal advice from his chatbots:

https://arstechnica.com/ai/2024/03/nycs-government-chatbot-is-lying-about-city-laws-and-regulations/

The only reason bosses want to buy robots is to fire humans and lower their costs. That's why "AI art" is such a pisser. There are plenty of harmless ways to automate art production with software – everything from a "healing brush" in Photoshop to deepfake tools that let a video-editor alter the eye-lines of all the extras in a scene to shift the focus. A graphic novelist who models a room in The Sims and then moves the camera around to get traceable geometry for different angles is a centaur – they are genuinely offloading some finicky drudgework onto a robot that is perfectly attentive and vigilant.

But the pitch from "AI art" companies is "fire your graphic artists and replace them with botshit." They're pitching a world where the robots get to do all the creative stuff (badly) and humans have to work at robotic pace, with robotic vigilance, in order to catch the mistakes that the robots make at superhuman speed.

Reverse centaurism is brutal. That's not news: Charlie Chaplin documented the problems of reverse centaurs nearly 100 years ago:

https://en.wikipedia.org/wiki/Modern_Times_(film)

As ever, the problem with a gadget isn't what it does: it's who it does it for and who it does it to. There are plenty of benefits from being a centaur – lots of ways that automation can help workers. But the only path to AI profitability lies in reverse centaurs, automation that turns the human in the loop into the crumple-zone for a robot:

https://estsjournal.org/index.php/ests/article/view/260

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/04/01/human-in-the-loop/#monkey-in-the-middle

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

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Jorge Royan (modified) https://commons.wikimedia.org/wiki/File:Munich_-_Two_boys_playing_in_a_park_-_7328.jpg

CC BY-SA 3.0 https://creativecommons.org/licenses/by-sa/3.0/deed.en

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Noah Wulf (modified) https://commons.m.wikimedia.org/wiki/File:Thunderbirds_at_Attention_Next_to_Thunderbird_1_-_Aviation_Nation_2019.jpg

CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/deed.en

[probablyasocialecologist]

Humans now share the web equally with bots, according to a major new report – as some fear that the internet is dying. In recent months, the so-called “dead internet theory” has gained new popularity. It suggests that much of the content online is in fact automatically generated, and that the number of humans on the web is dwindling in comparison with bot accounts. Now a new report from cyber security company Imperva suggests that it is increasingly becoming true. Nearly half, 49.6 per cent, of all internet traffic came from bots last year, its “Bad Bot Report” indicates. That is up 2 per cent in comparison with last year, and is the highest number ever seen since the report began in 2013. In some countries, the picture is worse. In Ireland, 71 per cent of internet traffic is automated, it said. Some of that rise is the result of the adoption of generative artificial intelligence and large language models. Companies that build those systems use bots scrape the internet and gather data that can then be used to train them. Some of those bots are becoming increasingly sophisticated, Imperva warned. More and more of them come from residential internet connections, which makes them look more legitimate. “Automated bots will soon surpass the proportion of internet traffic coming from humans, changing the way that organizations approach building and protecting their websites and applications,” said Nanhi Singh, general manager for application security at Imperva. “As more AI-enabled tools are introduced, bots will become omnipresent.”

[zahmbii]

There is a chance that Tumblr will start scraping your art and images to sell to AI companies Like Midjourney.

Tweet

Important note for now: These are all speculative rumors coming from ex-tumblr employees at this point. But the important fact remains the same: You need to be Glazing AND Nightshading any and all content you upload.

Both Glaze and Nightshade are free for their desktop applications. They are developed by a team at the University of Chicago specifically with the intent of protecting artists from being scraped into AI datasets.

If your computer isn't strong enough, there is an online option called Web-Glaze you can request access for. Or, there is a new Art hosting website called Cara that has a partnership with the University of Chicago (the creators of Glaze and Nighshade) to integrate that same Web-glaze for all users to apply to anything they want to upload.

Again, there is a chance these rumors are false and this won't happen. But even if they are fake, all artists, and even just anyone uploading any image at this point, should be applying these programs to any uploaded image on the internet.

[inevitablysomber-dark]

Under The Radar 6

Dark! Steve Roger x Kiwi! Reader

Dividers by @Strangergraphics

Warnings:

This story contains themes of emotional manipulation, power imbalance, dubious consent, toxic relationships, and psychological control. It deals with difficult subjects such as forced dependency and mental/emotional abuse. Reader discretion is advised.

Description: Kiwi thought she had her life under control—until a chance invitation to the Maldives from her former friend pulls her into a web of manipulation and control. What starts as a luxurious vacation turns into a slow descent into captivity as Steve, the wealthy man funding her escape from reality, begins to tighten his grip on her life. Now trapped in a toxic relationship where affection becomes control, Kiwi must navigate a world where every decision is made for her, every boundary crossed, and escape seems impossible.

Is it too late to reclaim her freedom, or will she succumb to the life Steve has crafted for her?

Story Masterlist

The weight of it all felt crushing as I sat in my small, dimly lit apartment. The furniture I’d once been so proud of now mocked me a reminder of how quickly everything can fall apart. The life I’d fought so hard to build, the independence I’d clung to, was crumbling right in front of my eyes.

Sitting at my kitchen table, I stared at my laptop, scrolling through the same job listings I’d seen a thousand times. Every option felt like a dead end. My heart raced each time I filled out another application, hoping this one might be different. But deep down, I knew better.

No matter how many resumes I sent, how many interviews I nailed, Steve had his boot on my neck, and it felt like he was pressing down harder every day. This was a long, drawn-out game for him, and I was trapped on the board with no way off.

Out of sheer desperation, I grabbed my phone and started dialing a few of the connections I’d made back when I worked for Rogers and Co. Maybe one of them could offer some advice, a lead, anything to help me claw my way out of this nightmare. But each call was met with awkward hesitations and thinly veiled excuses.

“Sorry, Kiwi. I wish I could help, but…we’re not hiring right now.”

“We’ll keep your resume on file, but, you know…the market’s really tight.”

It was painfully clear: no one wanted anything to do with me. Not with Steve Rogers involved.

"Just say sorry," Natasha said. She’d called to check on me, and with everything piling up, I ended up venting it all. And this was her big advice.

“I didn’t do anything wrong,” I replied, feeling the frustration build.

“It doesn’t matter,” she sighed. “Steve feels wronged. So, unless you want to go back to barely scraping by or, worse, moving back in with your parents, you’re going to go to him and apologize."

The weight of everything was crushing me. My savings were dwindling fast, and rent was looming. With no steady income, my anxiety was through the roof. I needed answers. I needed him.

So, I called Steve. Blocked. His work number? Blocked. I even tried reaching out to human resources. No one picked up. It was like I didn’t exist anymore.

With no other options left, I did the only thing I could think of, I went to his house.

By the time I got there, I was a wreck. My mind was a mess of emotions—desperation, anger, shame. I had no idea what I was going to say or how this would go, but I needed to see him. I needed to fix this.

The guard, Curtis, stepped in front of me just as I reached the gated mansion. “I’m sorry, Kiwi, you can���t come in.” Sympathy softened his eyes.

Not that long ago, he’d greet me with a big smile and a cheerful "good morning." Amazing how quickly things could change.

“Please, Curtis, I just need to talk to him,” I pleaded, my voice shaky.

He shook his head, unmoved. “You know I can’t let you in. You’ll need to leave.” His voice soft and regretful

Panic was clawing at my chest. I knew Steve had to be home by now. As long as he didn’t have any impromptu meetings, he should be here. I just needed to stall a little longer.

I continued to beg, keeping Curtis distracted when I saw Steve’s sleek black SUV pulling up to the gate. My breath hitched as the window rolled down.

“Steve! Please!” I rushed to his car, desperation leaking from every word. But then I froze when I saw a girl in the passenger seat. Small, delicate, and almost terrified.

Steve rolled down his window, sunglasses on, face completely unreadable. "This is Lemon," he said smoothly, like introducing her was the most natural thing in the world. "She's my new PA."

The world tilted beneath me. My replacement. Lemon. She looked at me with wide, uncertain eyes, like she didn’t know whether to be worried or sorry.

I couldn’t speak. All I could do was stare at her, then back at Steve. She was everything I wasn’t-thin, polished, perfect. Her nails were immaculate, her hair shiny and neat. I glanced down at the soft pooch of my belly, the wideness of my hips. I could feel every flaw like it was magnified under a spotlight.

The car inched forward, and just as Curtis started to pull me back, I whispered, “Please... I’ll do anything.”

Steve’s car came to a sudden stop. He turned to me, then, after what felt like an eternity, he told Curtis to let me go.

It took me a second to process what he’d said. He was letting me in. I scrambled into the backseat, heart pounding, unsure of what to expect.

Steve was calm, collected, as he spoke to Lemon about tomorrow’s schedule. He told her which meetings to cancel, which to reschedule, even what kind of coffee he wanted in the morning. I listened in disbelief. He’d never done this with me. I always had to guess what he wanted, figure things out on my own. But with Lemon? Everything was smooth. Easy.

I couldn’t help the sinking feeling that washed over me. I felt like I was being crushed under the weight of my own inadequacy.

The car stopped at in front of Steve’s mansion as a servant came to collect the keys from him. Lemon stepped out, her heels clicking against the pavement, and Steve followed, giving her a few more instructions before dismissing her. I watched them, feeling completely out of place.

Steve knocked on the window, signaling for me to get out. I scrambled out of the car, still trying to make sense of everything as I followed him up the grand staircase. My breath was shaky, my legs heavy, and with each step, it felt like the walls were closing in around me.

By the time we reached his home office, I was suffocating under the realization that I had just walked right back into his world, willingly. And this time, I wasn’t sure how I was going to make it out.

Steve moved around the room, his back to me, busy with something I couldn’t focus on. My mind was spinning, trapped in the loop of my own panic and anger, trying to think of my next move. What the hell am I doing here?

It wasn’t until he stopped and stood directly in front of me that I snapped back into the moment. Without thinking, without giving myself time to reconsider, I slapped him…hard.

The sting on my palm wasn’t nearly enough to calm the storm inside me. Before he could even react, I hit him again, this time pounding my fists against his chest, pushing with everything I had. But he didn’t budge. It was like hitting a brick wall. He just stood there, solid, unaffected.

“How could you do this to me?” I screamed, tears burning my eyes. “How could you ruin me like this?”

My fists kept slamming into him. I couldn’t stop. “I worked so hard! I wasted so much time, so much effort on you!” My voice cracked, spilling out every bit of frustration that had been boiling beneath the surface for months.

Eventually, the fight drained out of me, my hands falling limp against his chest. But the words kept coming, tumbling out as tears streamed down my face. “You knew, Steve. You knew my situation. You knew I was struggling, and you still choose to play with my livelihood like it’s some kind of fucking game.”

I was sobbing now, choking on the unfairness of it all. “I did everything right,” I whispered “and I’m still fucked.”

I looked up at him, my vision blurry from the tears, and the truth spilled out before I could stop it. “You ruined my fucking life.”

Another wave of rage surged through me, and I raised my hand to slap him again. But this time, he caught me. His grip was firm as he grabbed my wrist and pulled me toward one of the chairs in his office, forcing me to sit down.

Steve didn’t react to my outburst. He didn’t even look angry. Instead, he stood in front of me, calm and collected, like I hadn’t just tried to claw at him.

“This is life,” he said, his voice maddeningly leveled. “No one’s going to cater to you for free.”

I screamed back, “I was your employee! You were supposed to treat me with some decency!”

He shook his head, as if I didn’t get it. “That’s not what I meant, and you know it.”

His hands slid into his pockets; his gaze fixed on me. It was then that I noticed the way he positioned himself, never quite lowering to my level, leaving me at eye-level with his crotch. My stomach churned with the realization.

"I'm attracted to you," Steve admitted, his voice calm and unsettling. "I've had a thing for you since university." He paused, letting the words sink in. "I convinced Sharon to invite you to the Maldives so I could see you again, to... reconnect." He smirked, as if the memory amused him. "And during the trip, I fell for you all over again. It’s always been you."

"Did Sharon know?" I asked.

"Of course she did. Sharon always knew. She was just keeping your spot warm until you were ready for it. But her ego eventually got in the way."

I stared at him, utterly dumbfounded. What kind of twisted logic was this?

"She tried her best to keep you from going on the trip, but I was always a step ahead."

"And when she got sick? Was that your plan too?"

"Just luck," he replied, a hint of satisfaction in his tone. "But it made it a hell of a lot easier to get close to you."

“I’m sorry,” I whispered, looking away, not sure what else to say. “I didn’t realize.”

Steve’s expression hardened, a flicker of something darker crossing his face. “Bullshit,” he spat. “You didn’t want to realize.”

I opened my mouth to argue but stopped myself. It didn’t matter. None of it mattered now. I was ruined, jobless, broke, and desperate.

“Please,” I began, my voice trembling, “if you won’t hire me back as your assistant, could you at least help me get hired at another department? Or, if you’re still interested in... dating me…maybe you could find me something elsewhere, another company maybe?”

Steve chuckled, the sound low and dark, making my skin crawl. He began to circle me slowly, touching my hair in the process. But when he spoke again, his voice was firm and cold. “Dating?” He laughed again, this time with more venom. “We’ll be doing a lot more than just dating.” He stopped in front of me, leaning down just slightly, and I could feel the weight of his presence pressing down on me.

“What do I get in return?” he begins in a low voice, then raises it, “Ungratefulness? Boundaries?!”

 I froze.

Steve’s eyes locked onto mine, his voice dropping into a whisper that chilled me to the bone. “I want you. And I don’t mind giving you a comfortable life. A life where you’ll never have to worry about money again. But if you want that, you’ll live under my thumb. You’ll have to be mine, in every way.”

My breath caught in my throat. I knew what he was offering, it was everything I thought I wanted at the cost of my freedom, my dignity. “It’s up to you.” He straightens his body slightly widening his stance “What do you want me to do?” I whispered. Silently accepting the offer.

I swallowed, my pride sinking into my chest. I had always been so careful, so determined to keep Steve at a distance, to not let him pull me into this world entirely. But now…

The room felt too small, the air too thick. My hands trembled as I clenched them into fists on her lap.

Steve just smirked and his eyes trailed downwards, I followed his line of sight. A sizeable bulge formed, struggling against the zipper of his slacks. I wanted to cry again, Steve probably sensing this “It’s ok, you’ll be able to handle it, you were able to before”

His words take me aback. "What’s that supposed to mean?" I ask.

“You don’t remember all the fun we had that last week in the Maldives? Or when we got back to my mansion?”

I try to recall, but it’s all a blur. Every memory from that time feels hazy; all I remember is feeling constantly nauseous and exhausted.

“What did you do?” I asked

He grins, as if he’s holding on to a secret.

“Welp, it doesn’t matter now.” He moves to unzip his pants freeing his cock from its constraints, and there it was. Solid, looking angry and red with thick veins bulging all over. “We have other matters to attend to.”

I start shaking my head frantically, trying to pull away, but Steve grips my shoulder to hold me still.

"Ah, ah," he says, tone firm. "We're way past that. And remember, things can only get worse from here on out. Don’t just think about yourself, consider your parents and everything they worked so hard for. I can drag this out for as long as I want"

My attention broke once his cock twitched in my face.

This was thrilling for him. Whether it was the idea of me submitting or the prospect of a twisted game of cat and mouse, it hit me…I would never be free of Steve Rogers. I looked up at him, eyes pleading, silently begging him to let me keep my dignity. But he didn’t care.

"I'm waiting," he says in a mocking tone, lifting my chin with his finger before resting his hands on his hips, clearly patronizing me.

I look up to the ceiling a moment trying to hold my tears back, before being forced to face his cock again.

With shaky hands, I went to grab his shaft, it felt so hot, burning almost.

“Go ahead.” He coaxed.

I drew my head closer, sticking out my tongue, this was actually happening. Steve wasn’t going to stop me, and I will forever be known as the woman who whored herself out for a fucking job. God only knows what they’d say, if Steve decided to make this a habit. ‘Oh, look it’s the girl who trades pussy for benefits,’.

My tongue made contact with the head, it felt warm, and his musk quickly invaded my senses.

Fuck it.

I just needed to get to the other side of this, and the best way to do it was to dive in it. I did my best to pull him into my mouth, but he was so big, and girthy. When I heard his moans, I started a game plan, building a rhythm I could get used to, so I wouldn’t be too uncomfortable.

But as always, Steve had to fuck that up. He immediately grabbed the back of my head and began swiftly pushing his cock in and out of my mouth. At first, he was gentle, or as gentle as one could be in this situation. Then he was forcing more of himself deeper, and before I knew it, his pubic region was pushing right up against my nose, hairs and all.

I couldn’t take it; I could feel my body preparing to vomit as I began to wretch. I frantically slapped at Steve’s thighs, to make him stop, but he just went harder. My spit started foaming around the areas where my mouth met his cock, dripping down my chin and falling onto my chest.

Tears pouring through my eyes as I begged for this to be over. Steve eventually did meet his climax, forcefully pushing my head into his crotch as he came down my throat, shivering from his climax. making it extremely difficult to breathe. I tried to push against him, but he was so much stronger.

Just as it felt like I was about to faint, he let go. I coughed and gagged, doing my best to compose myself despite the circumstances.

“That was your punishment” he made a grab for my chin, forcing me to look up at him. “Next time I won’t be so nice.”

He paused, looking deeply into my eyes, as I struggled for air, a breathless chuckle escaping from his lips “You look so fucking beautiful right now” the smile on his face looking so genuine. Then he pulled me into a deep kiss, his tongue invading my mouth. After what feels like several minutes, he finally separates from me.

“Get up, let’s go.”

He stands straight, and begins fixing his clothes, tucking in his shirt and zipping up his pants.

I find a tissue box on his desk and reach for, before I could pull out a sheet, his hand slaps my own away.

“No, I want you to stay like that for the rest of the day”

I try to protest, but then there’s a knock on the door. I’m unable to gather my thoughts before Bucky walks in, he stops looking between the two of us before smirking and greeting Steve.

"Hey, Kiwi, long time no see." He strolls over to the couch near the entrance and sits down. "Heard you had a great time in the Maldives, too bad I couldn’t make it." He grins, throwing me a wink as he settles in.

Lemon comes in behind him, and I’m just about ready to start crying again, I expected a look of judgment from her, but she seemed more apologetic, and a bit off kilter. Her clothes ragged, and though still shiny, her hair wasn’t as neat as I saw it earlier that day. Steve sits on the chair next to mine. Lemon and Bucky on the couch off to the side.

They start talking business, as I do my best to shrink into myself trying not to burst into tears from embarrassment.

I peeked up at the trio once more and as Steve and Bucky were speaking Lemon was looking right at me. No judgment, and for once, oddly enough, I felt understood.

That couldn’t be a good thing.

After Steve's meeting with Bucky, he gave me a subtle gesture to follow him. My legs felt heavy, but I couldn’t resist. I glanced at Lemon, who looked shaken, her eyes wide with the same fear I felt inside. That’s when it hit me: both of us were trapped. Steve had me, and Bucky had her. We were just pieces in their game.

I followed Steve down the hall, the sound of my footsteps echoing off the polished floors, my mind flashing back to the last time I was in his bedroom, after the Maldives trip. The memories of that night started creeping in, tightening my chest. I swallowed the fear as Steve led me to the bedroom.

Without saying a word, he started undressing, peeling off his shirt, then unbuckling his pants. Every movement made the panic in my chest rise, and my body stiffened. I was bracing for... something. Something I wasn’t ready for.

But then, he stopped. His pants halfway down, he looked at me with a strange expression, irritation lacing his voice. "What are you doing? You know where the bathroom is. Go and get cleaned up."

His command stunned me. I hadn’t expected the reprieve, but I took it. I turned and made my way to the bathroom, feeling the tension in my shoulders ease slightly. When I entered, I noticed a silk nighty hanging from the shower curtain rod. It was dark red with black lace trim. My fingers instinctively reached out to touch it, the fabric smooth and delicate under my fingertips. Next to the sink was a packaged toothbrush and new toothpaste…the exact brand I used at home.

I stared at it for a moment, my mind swirling with questions. How did he know? How long had he been preparing for this?

I shook myself out of my daze and focused on getting clean. The warm water from the shower helped ease some of the tension, but my thoughts were everywhere, wondering what would happen next.

As I scrubbed myself clean I heard the bathroom door open I scrubbed myself clean, brushed my teeth, and finally slipped into the nighty. The material clung to my skin, unfamiliar and intimate. I still had my underwear from earlier, but I couldn’t help but feel exposed, and a little gross.

When I stepped out of the bathroom, the room was dark. Steve was already in bed, his back turned, but his presence filled the space. I hesitated in the doorway, unsure what to do next. The weight of the night felt suffocating.

Apparently, I stood there too long because his voice cut through the darkness, annoyed and sharp. "Turn off the bathroom light and come to bed."

I flicked the switch, plunging the room into complete darkness, and carefully made my way to the bed. Sliding onto the mattress, I tried to stay on my side, giving him space. But before I could settle in, Steve shifted. He moved closer, wrapping an arm around my waist and pulling me toward him.

I was his little spoon.

His chest pressed against my back, his warmth radiating through the thin fabric of the nighty. His breath was slow and steady against my neck, but my own breathing became shallow, panic clawing at my insides. I could feel the weight of his arm holding me in place, his grip firm but not aggressive.

Still, it felt like a cage.

I tried to calm myself, counting my breaths, telling myself that this was just sleep. But every inch he moved, every time his body shifted closer, I felt the walls closing in. Panic started to set in again, and I didn’t know how to stop it.

As Steve closed the space between us, his body pressed firmly against mine, something felt off, too much skin, too much warmth. A sudden realization hit me like ice water down my spine.

"You’re not wearing any underwear," I said quietly, my voice betraying the unease building in my chest.

I felt his hand travel down to my pelvis, fingers brushing against the fabric of my underwear. There was a pause, and in a low, disappointed tone, he muttered, "And you are."

The words sent a chill through me, sharper than the night air. His disappointment felt like a judgment, hanging between us in the dark. My mind raced, but my body remained frozen, trapped in the tension of the moment.

“Take it off” he demands

At first, my body tensed, ready to fight back, a surge of defiance pushing through me. But a quick glance at my surroundings. the darkness of the room, the heaviness of Steve’s presence, and the knowledge of how trapped I really was.

So, I relented.

I moved to slip off my underwear, trying to keep my breaths steady, hoping the tremor in my hands wasn’t too obvious. Steve shifted slightly, pulling away just enough to give me space to do what he wanted, his silence suffocating as I removed the last piece of fabric that gave me any kind of security.

When I was done, he wasted no time. His arm wrapped around me once more, tighter than before, pulling me in like I was something he owned. His hand settled back on my pelvis, the warmth of his skin against mine, and I felt his breath hot against my ear as he whispered, "That’s better."

The words crawled under my skin, leaving me cold despite the heat of his body pressed against mine. I swallowed hard, forcing myself to lie still, my mind racing even though my body was now as motionless as his grip allowed.

He started moving, his hands roaming over my body, rubbing, groping, pulling at my skin like I was clay in his hands. He couldn’t seem to stay still, his movements growing more aggressive with each passing second. His fingers kneaded my hips, his palms pinched the soft flesh of my thighs, and his body ground into mine, the weight of him pressing me deeper into the mattress.

I could feel his breath quicken, hear the faint growl rumbling in his chest as he kissed down my ear to my neck, his lips hot and greedy against my skin. Every kiss, every touch, sent a wave of nausea rolling through me, but I was too overwhelmed to push him off.

The scent of him, clean, sharp, and suffocating was all I could breathe in, clouding my senses, making it hard to think straight. My body felt heavy, pinned beneath him as his weight shifted, trapping me further against the bed.

His growling became louder, more animalistic, as his lips moved lower, his hands grasping me tighter. I closed my eyes, willing myself to detach, to float above the moment even as his presence consumed every inch of me.

With a careful thrust he pushed his cock between the crease of my thighs, pushing against my pussy.

A sigh released from his chest as he stills. The space naturally damp due to my just getting out of the shower, alongside my plumper physique.

A few moments pass before he starts moving again, causing friction against my lower lips, occasionally rubbing up against my clit. As his movements become more frantic, he grabs of my breasts, and begins pinching and pulling at my nipples.

My own excitement begins to flourish as his movements speed up, and before I know it he stills as his warm liquid spills between my legs.

He takes some time to gather himself, and when I think he’s done, a hand is pulled off one of my breasts, traveling down to my pubis, and pressing his fingers against my clit. Carefully, he begins rolling my button between his fingers, whispering in my ear. “You feel so good” I feel him shift, pulling back slightly before I realize what’s happening. He pushes inside me, and a sharp squeal escapes my lips. Steve growls, his grip tightening around me, holding me firmly in place with no room for escape. Every thrust is deliberate, his body pressing harder into mine as his fingers find their way to my most sensitive spot.

The sensations hit me all at once, my body betraying me as the overwhelming pressure builds. I can’t hold back, and before I know it, I’m trembling, the wave of pleasure crashing over me as I reach my climax.

I rarely experience this feeling, so I keep still, trying to pull myself back from the edge of euphoria. My body was betraying me, and I could hear the wet, unmistakable sound of his movements filling the room. Steve suddenly stops, letting out a breath before chuckling softly.

He hugs me tightly, his body pressing firmly against mine as if nothing had just happened.

"Goodnight," he says, his voice low and satisfied, as though everything was perfectly normal.

I lay there, frozen, the weight of him pinning me in place, unsure if I’d ever truly wake from this.

I close my eyes, trying to make sense of everything, but my thoughts tangle like a knot I can't untie. The weight of the situation pressed down on me, suffocating, yet exhaustion finally won. As the darkness pulled me under, I could only hope that when I woke up, this would all turn out to be a nightmare, one that I was desperate to escape from, waiting for it to end. 

[the-jellicle-duelist]

i woke up feeling Nihilistic about Technology so now you must all suffer with me most people are probably not keeping up with what the tech companies are actually making, doing, demoing, with AI in the way i am. and that's okay you will not like what you hear most likely. i am also not any kind of technology professional. i just like technology. i just read about technology. there's sort of two things that are happening in tandem which is:

there is a race between some of the biggest ones (google, meta, openai, microsoft, etc. along with some not yet household name ones like perplexity and deepseek) to essentially Decide, make the tech, and Win at this technology. think of how Google has been the defacto ruler of the internet between the Search Engine that delivers web pages, and the Ad Engine that makes money for advertisers and google. they have all of the information and make the majority of the money. AI is the first technology in 20 years that has everyone scrambling to become the new Google of That.

ChatGPT, the thing we have access to right now, it is stupid sometimes. but the reason every single company is pushing this shit is because they want to be First to make a product that Works, and they also are rebuilding how we will interact with the internet from the ground up. the thing basically everyone wants is to control 'the window' as it were between You typing things into the computer, and the larger internet. in a real way, Google owns 'the window' in many meaningful (monetary) ways. the future that basically every company is working towards right now is a version of the the websites on the internet become more of a database; a collection of data that can be accessed by the AI model. every computer you use becomes the Search box on Google.com, but when you type things into it, it just finds information and spits it out in front of you. there is a future where 'the internet' is just an AI chat bot.

holding those two ideas at once (everyone wants to be the Google of AI, and also every single tech company wants us to look at the internet in a way they choose and have control over) THIS SUCKS. THIS SUCKS ASS.

THE THING THAT IS BEAUTIFUL ABOUT THE INTERNET IS THAT IT IS OPEN. you can, in almost every place in the world, build a stupid website and connect it to the internet and anyone can look at it. ANYONE. we have absolutely NOTHING ELSE as universal, as open, as this. every single tech company is trying to change this in a meaningful way. in the Worst version of this, the internet just looks like the ChatGPT page, because it scrapes data and regurgitates it back to you. instead of seeing the place where this data was written, formatted, presented, on its own website like god intended

the worst part is: despite the posts you see from almost everyone in our respective bubbles about how AI sucks, we won't use it, it's bad for the environment, etc. NORMAL PEOPLE are using this shit all of the time. they are fine that it occasionally is wrong. and also the models of the various Chatbot AIs is getting better everyday at not being wrong. for like the first time in like 20 years since google launched, there is a real threat that the place people go to search for things online is rapidly shifting somewhere else. because people are using this stuff. the loudest people against AI are currently a minority of loud voices. not only is this not going away, but it is happening. this is actually web 3.0. and it's going to be so shit

this is not to say you will not be able to go to tumblr.com. but it will take effort. browser applications are basically not profitable, just ask Mozilla. google has chrome, which makes money because it has you use Google and it tracks your data to sell you ads. safari doesn't make money, but apple Takes google's money to pay for maintaining it. most other browsers are just forked chromium.

in my opinion there will be one sad browser application for you to access real websites, it will eventually become unmaintained as people just go to the winner's AI chatbot app to access information online. 'websties' will become subculture; a group of hobbyists will maintain the thing that might let you access these things. normal people will move on from the idea of going to websites.

the future of the internet will be a sad, lonely place, where the sterile, commercially viable and advertiser friendly chatbot will tell you about whatever you type or say into the computer. it will encourage people to not make connections online, or even in their lives, because there will be a voice assistant they can talk with. one of the latest google demos, there is a person fixing their bicycle, having Gemini look thru the manual, tell them how to fix a certain part of the bike. Gemini calls a repair shop, and talks to the person on the other side. a lot of people covering this are like 'that future is extremely cool and interesting to me' and when i heard That that is when i know we have like. lost it.

for whatever reason, people want this kind of technology. and it makes me so sad.

[zooplekochi]

Automate Simple Tasks Using Python: A Beginner’s Guide

In today's fast paced digital world, time is money. Whether you're a student, a professional, or a small business owner, repetitive tasks can eat up a large portion of your day. The good news? Many of these routine jobs can be automated, saving you time, effort, and even reducing the chance of human error.

Enter Python a powerful, beginner-friendly programming language that's perfect for task automation. With its clean syntax and massive ecosystem of libraries, Python empowers users to automate just about anything from renaming files and sending emails to scraping websites and organizing data.

If you're new to programming or looking for ways to boost your productivity, this guide will walk you through how to automate simple tasks using Python.

🌟 Why Choose Python for Automation?

Before we dive into practical applications, let’s understand why Python is such a popular choice for automation:

Easy to learn: Python has simple, readable syntax, making it ideal for beginners.

Wide range of libraries: Python has a rich ecosystem of libraries tailored for different tasks like file handling, web scraping, emailing, and more.

Platform-independent: Python works across Windows, Mac, and Linux.

Strong community support: From Stack Overflow to GitHub, you’ll never be short on help.

Now, let’s explore real-world examples of how you can use Python to automate everyday tasks.

🗂 1. Automating File and Folder Management

Organizing files manually can be tiresome, especially when dealing with large amounts of data. Python’s built-in os and shutil modules allow you to automate file operations like:

Renaming files in bulk

Moving files based on type or date

Deleting unwanted files

Example: Rename multiple files in a folder

import os folder_path = 'C:/Users/YourName/Documents/Reports' for count, filename in enumerate(os.listdir(folder_path)): dst = f"report_{str(count)}.pdf" src = os.path.join(folder_path, filename) dst = os.path.join(folder_path, dst) os.rename(src, dst)

This script renames every file in the folder with a sequential number.

📧 2. Sending Emails Automatically

Python can be used to send emails with the smtplib and email libraries. Whether it’s sending reminders, reports, or newsletters, automating this process can save you significant time.

Example: Sending a basic email

import smtplib from email.message import EmailMessage msg = EmailMessage() msg.set_content("Hello, this is an automated email from Python!") msg['Subject'] = 'Automation Test' msg['From'] = 'you@example.com' msg['To'] = 'recipient@example.com' with smtplib.SMTP_SSL('smtp.gmail.com', 465) as smtp: smtp.login('you@example.com', 'yourpassword') smtp.send_message(msg)

⚠️ Note: Always secure your credentials when writing scripts consider using environment variables or secret managers.

🌐 3. Web Scraping for Data Collection

Want to extract information from websites without copying and pasting manually? Python’s requests and BeautifulSoup libraries let you scrape content from web pages with ease.

Example: Scraping news headlines

import requests from bs4 import BeautifulSoup url = 'https://www.bbc.com/news' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') for headline in soup.find_all('h3'): print(headline.text)

This basic script extracts and prints the headlines from BBC News.

📅 4. Automating Excel Tasks

If you work with Excel sheets, you’ll love openpyxl and pandas two powerful libraries that allow you to automate:

Creating spreadsheets

Sorting data

Applying formulas

Generating reports

Example: Reading and filtering Excel data

import pandas as pd df = pd.read_excel('sales_data.xlsx') high_sales = df[df['Revenue'] > 10000] print(high_sales)

This script filters sales records with revenue above 10,000.

💻 5. Scheduling Tasks

You can schedule scripts to run at specific times using Python’s schedule or APScheduler libraries. This is great for automating daily reports, reminders, or file backups.

Example: Run a function every day at 9 AM

import schedule import time def job(): print("Running scheduled task...") schedule.every().day.at("09:00").do(job) while True: schedule.run_pending() time.sleep(1)

This loop checks every second if it’s time to run the task.

🧹 6. Cleaning and Formatting Data

Cleaning data manually in Excel or Google Sheets is time-consuming. Python’s pandas makes it easy to:

Remove duplicates

Fix formatting

Convert data types

Handle missing values

Example: Clean a dataset

df = pd.read_csv('data.csv') df.drop_duplicates(inplace=True) df['Name'] = df['Name'].str.title() df.fillna(0, inplace=True) df.to_csv('cleaned_data.csv', index=False)

💬 7. Automating WhatsApp Messages (for fun or alerts)

Yes, you can even send WhatsApp messages using Python! Libraries like pywhatkit make this possible.

Example: Send a WhatsApp message

import pywhatkit pywhatkit.sendwhatmsg("+911234567890", "Hello from Python!", 15, 0)

This sends a message at 3:00 PM. It’s great for sending alerts or reminders.

🛒 8. Automating E-Commerce Price Tracking

You can use web scraping and conditionals to track price changes of products on sites like Amazon or Flipkart.

Example: Track a product’s price

url = "https://www.amazon.in/dp/B09XYZ123" headers = {"User-Agent": "Mozilla/5.0"} page = requests.get(url, headers=headers) soup = BeautifulSoup(page.content, 'html.parser') price = soup.find('span', {'class': 'a-price-whole'}).text print(f"The current price is ₹{price}")

With a few tweaks, you can send yourself alerts when prices drop.

📚 Final Thoughts

Automation is no longer a luxury it’s a necessity. With Python, you don’t need to be a coding expert to start simplifying your life. From managing files and scraping websites to sending e-mails and scheduling tasks, the possibilities are vast.

As a beginner, start small. Pick one repetitive task and try automating it. With every script you write, your confidence and productivity will grow.

Conclusion

If you're serious about mastering automation with Python, Zoople Technologies offers comprehensive, beginner-friendly Python course in Kerala. Our hands-on training approach ensures you learn by doing with real-world projects that prepare you for today’s tech-driven careers.

[rubyrubyrubyredux]

ooo, this was going to be a different post, but this one’s about creative ambitions, chronic illness, and ai

(It ended up being too long! TL;DR at the end of it)

So, due to brainfog, stress, headaches, and idk what to call it ocd/anxiety, I haven’t been able to work on or develop much characters or stories.

Will do miscellaneous drabbles sometimes, character/disalogue/concept exercises, something to utilize any creativity. Small stuff I guess, for emotional processing. So, not Nothing, but eh.

What most of my drabbling has been though is back-and-forths on custom c.ai chats. Which I don’t want to think yielded MEANINGLESS results? It’s like, I’ll write something, and I know essentially how I intend for the scene to go and cycle through responses until I get one that is representative of where I wanted it to go. And seeing a response will give me enough cognitive fuel to find words for how I want the drabble to continue from that point.

Which, has it been helpful or bad for me? Not sure. Argument for helpful: it gives me an accessible way to get actualize some drabbles from out of my head. Because if I tried to write them all on my own, I would become deeply exhausted or too anxious to continue, and/or cause myself head pain.

Argument for bad-for-me: Could it be stunting opportunities to improve on writing? Maybe I’m just supposed to try harder if I want to write anything? I don’t want to lose my ability to write, so I don’t want to stunt myself on something like this. And while I’m drabbling these things with the idea of how I want them to turn out already in my head, it does ultimately mean that half of whatever drabble i’m developing is a collage writing scraped from across the web and/ or that site, and the unethical/uncertain nature of that feels weird/bad. And probably safe to assume c.ai is environmentally destructive as any of these other chat models?

It’s been nice to have anything at all I guess. I guess I consider it more like playing a video game than writing? Like a choose-my-own-adventure that I’m in full control of, I guess. Like, I wouldn’t 1-for-1 publish any of it. But hypothetically I could salvage any of them to be short stories or bigger concepts to flesh out, and I don’t know how to feel about that. I think conceptually they’re mine because I thought of them before I’d take it for a drabble, but…..

Eeeeehhhhhhh I’m approximately at a point where I’m like, I don’t want to end up feeling like I owe credit of inspiration for anything to something that’s generative ai? I want the original things I make to feel like they’re mine, and if generative ai produced something I didn’t anticipate but wanted to use, then that feels out-of-hand to me. Like, no that’s not mine? eughhh. 

ALL THIS TO SAY, been too chronically ill to write and I don’t know if recreational c.ai is condemnable or, like, a point of the thing. Is it good to have been able to engage writing at all? Or if it’s not wholely independent it does not count? But even with creative intentions and tweaking and micromanaging of the thing? It strikes me as an activity. euaghh but I guess I ultimately feel guilty and dissappointing about it. 

When it comes to generative ai for writing/art though, I can’t shake the feeling it has application for chronically ill artists, and it feels hurtful when I see videos/posts that are like “real artists would never use these tools” (Which tbh!!!! It so strongly echoes the pushback against digital art by traditional artists to me? Are we so far past people saying digital art isn’t art? Remember that?) or posts that are like [shows a picture of art that looks like it was physically painful for the artist to make] “See? Disabled artists don’t need ai to make art!” Like, yeah, they made art, but is that the only way I’m expected to make art? In pain? Because it’s “the right way to do things”? Or is there accessibility to be had!?

I see the potential of ai as a tool, it’s just too problematic how it was developed and it doesn’t seem likely it would be done in a mindful way at this point. but imagine generating a composition base? Palette ideas? Backgrounds for comics? Something to help push writing an outline along? Getting feedback for when I’m stuck as hell on navigating a plot point or a plot hole or something? Euagghhh I think ultimately as an artist, doing these parts of the processes is part of what’s rewarding about doing the art anyway. Maybe what would happen is I would try any of these shortcuts and then feel like it wasn’t worth it or feels bad in the long run. I miss making art though :( I wish I could make art still. I wish I could make things with colors. I wish I could think about characters and write stories. I miss making things. I’m deeply sad and everyday grieve that I’m lost. Feels bad!

This ended up being more of a vent and stream-of-consciousness than I meant it to be, oops. If you've read this whole post, thank you for the patience and dedication! If not, thank you for perusing nonetheless! This post is a mess.

---

TL;DR, I can’t make art anymore, I can barely think about it, and it feels bad. Could ai tools be a balm for this in the future? Ai tools as they are though are so ethically mired. But I still feel bad that the response around disability & ai tools is that chronically ill people should have to suffer to make art or not make art at all. I feel silenced and sad! But in the end I don’t think I even want to rely on ai tools, for ocd/anxiety reasons. But it all just feels so bad!

[appiness-blogs]

Web Scraping Using Node Js

Web scraping using node js is an automated technique for gathering huge amounts of data from websites. The majority of this data is unstructured in HTML format and is transformed into structured data in a spreadsheet or database so that it can be used in a variety of applications in JSON format.

Web scraping is a method for gathering data from web pages in a variety of ways. These include using online tools, certain APIs, or even creating your own web scraping programmes from scratch. You can use APIs to access the structured data on numerous sizable websites, including Google, Twitter, Facebook, StackOverflow, etc.

The scraper and the crawler are the two tools needed for web scraping.

The crawler is an artificially intelligent machine that searches the internet for the required data by clicking on links.

A scraper is a particular tool created to extract data from a website. Depending on the scale and difficulty of the project, the scraper's architecture may change dramatically to extract data precisely and effectively.

Different types of web scrapers

There are several types of web scrapers, each with its own approach to extracting data from websites. Here are some of the most common types:

Self-built web scrapers: Self-built web scrapers are customized tools created by developers using programming languages such as Python or JavaScript to extract specific data from websites. They can handle complex web scraping tasks and save data in a structured format. They are used for applications like market research, data mining, lead generation, and price monitoring.

Browser extensions web scrapers: These are web scrapers that are installed as browser extensions and can extract data from websites directly from within the browser.

Cloud web scrapers: Cloud web scrapers are web scraping tools that are hosted on cloud servers, allowing users to access and run them from anywhere. They can handle large-scale web scraping tasks and provide scalable computing resources for data processing. Cloud web scrapers can be configured to run automatically and continuously, making them ideal for real-time data monitoring and analysis.

Local web scrapers: Local web scrapers are web scraping tools that are installed and run on a user's local machine. They are ideal for smaller-scale web scraping tasks and provide greater control over the scraping process. Local web scrapers can be programmed to handle more complex scraping tasks and can be customized to suit the user's specific needs.

Why are scrapers mainly used?

Scrapers are mainly used for automated data collection and extraction from websites or other online sources. There are several reasons why scrapers are mainly used for:

Price monitoring:Price monitoring is the practice of regularly tracking and analyzing the prices of products or services offered by competitors or in the market, with the aim of making informed pricing decisions. It involves collecting data on pricing trends and patterns, as well as identifying opportunities for optimization and price adjustments. Price monitoring can help businesses stay competitive, increase sales, and improve profitability.

Market research:Market research is the process of gathering and analyzing data on consumers, competitors, and market trends to inform business decisions. It involves collecting and interpreting data on customer preferences, behavior, and buying patterns, as well as assessing the market size, growth potential, and trends. Market research can help businesses identify opportunities, make informed decisions, and stay competitive.

News Monitoring:News monitoring is the process of tracking news sources for relevant and timely information. It involves collecting, analyzing, and disseminating news and media content to provide insights for decision-making, risk management, and strategic planning. News monitoring can be done manually or with the help of technology and software tools.

Email marketing:Email marketing is a digital marketing strategy that involves sending promotional messages to a group of people via email. Its goal is to build brand awareness, increase sales, and maintain customer loyalty. It can be an effective way to communicate with customers and build relationships with them.

Sentiment analysis:Sentiment analysis is the process of using natural language processing and machine learning techniques to identify and extract subjective information from text. It aims to determine the overall emotional tone of a piece of text, whether positive, negative, or neutral. It is commonly used in social media monitoring, customer service, and market research.

How to scrape the web

Web scraping is the process of extracting data from websites automatically using software tools. The process involves sending a web request to the website and then parsing the HTML response to extract the data.

There are several ways to scrape the web, but here are some general steps to follow:

Identify the target website.

Gather the URLs of the pages from which you wish to pull data.

Send a request to these URLs to obtain the page's HTML.

To locate the data in the HTML, use locators.

Save the data in a structured format, such as a JSON or CSV file.

Examples:-

SEO marketers are the group most likely to be interested in Google searches. They scrape Google search results to compile keyword lists and gather TDK (short for Title, Description, and Keywords: metadata of a web page that shows in the result list and greatly influences the click-through rate) information for SEO optimization strategies.

Another example:- The customer is an eBay seller and diligently scraps data from eBay and other e-commerce marketplaces regularly, building up his own database across time for in-depth market research.

It is not a surprise that Amazon is the most scraped website. Given its vast market position in the e-commerce industry, Amazon's data is the most representative of all market research. It has the largest database.

Two best tools for eCommerce Scraping Without Coding

Octoparse:Octoparse is a web scraping tool that allows users to extract data from websites using a user-friendly graphical interface without the need for coding or programming skills.

Parsehub:Parsehub is a web scraping tool that allows users to extract data from websites using a user-friendly interface and provides various features such as scheduling and integration with other tools. It also offers advanced features such as JavaScript rendering and pagination handling.

Web scraping best practices that you should be aware of are:

1. Continuously parse & verify extracted data

Data conversion, also known as data parsing, is the process of converting data from one format to another, such as from HTML to JSON, CSV, or any other format required. Data extraction from web sources must be followed by parsing. This makes it simpler for developers and data scientists to process and use the gathered data.

To make sure the crawler and parser are operating properly, manually check parsed data at regular intervals.

2. Make the appropriate tool selection for your web scraping project

Select the website from which you wish to get data.

Check the source code of the webpage to see the page elements and look for the data you wish to extract.

Write the programme.

The code must be executed to send a connection request to the destination website.

Keep the extracted data in the format you want for further analysis.

Using a pre-built web scraper

There are many open-source and low/no-code pre-built web scrapers available.

3. Check out the website to see if it supports an API

To check if a website supports an API, you can follow these steps:

Look for a section on the website labeled "API" or "Developers". This section may be located in the footer or header of the website.

If you cannot find a dedicated section for the API, try searching for keywords such as "API documentation" or "API integration" in the website's search bar.

If you still cannot find information about the API, you can contact the website's support team or customer service to inquire about API availability.

If the website offers an API, look for information on how to access it, such as authentication requirements, API endpoints, and data formats.

Review any API terms of use or documentation to ensure that your intended use of the API complies with their policies and guidelines.

4. Use a headless browser

For example- puppeteer

Web crawling (also known as web scraping or screen scraping) is broadly applied in many fields today. Before a web crawler tool becomes public, it is the magic word for people with no programming skills.

People are continually unable to enter the big data door due to its high threshold. An automated device called a web scraping tool acts as a link between people everywhere and the big enigmatic data.

It stops repetitive tasks like copying and pasting.t

It organizes the retrieved data into well-structured formats, such as Excel, HTML, and CSV, among others.

It saves you time and money because you don’t have to get a professional data analyst.

It is the solution for many people who lack technological abilities, including marketers, dealers, journalists, YouTubers, academics, and many more.

Puppeteer

A Node.js library called Puppeteer offers a high-level API for managing Chrome/Chromium via the DevTools Protocol.

Puppeteer operates in headless mode by default, but it may be set up to run in full (non-headless) Chrome/Chromium.

Note: Headless means a browser without a user interface or “head.” Therefore, the GUI is concealed when the browser is headless. However, the programme will be executed at the backend.

Puppeteer is a Node.js package or module that gives you the ability to perform a variety of web operations automatically, including opening pages, surfing across websites, analyzing javascript, and much more. Chrome and Node.js make it function flawlessly.

A puppeteer can perform the majority of tasks that you may perform manually in the browser!

Here are a few examples to get you started:

Create PDFs and screenshots of the pages.

Crawl a SPA (Single-Page Application) and generate pre-rendered content (i.e. "SSR" (Server-Side Rendering)).

Automate form submission, UI testing, keyboard input, etc.

Develop an automated testing environment utilizing the most recent JavaScript and browser capabilities.

Capture a timeline trace of your website to help diagnose performance issues.

Test Chrome Extensions.

Cheerio

Cheerio is a tool (node package) that is widely used for parsing HTML and XML in Node.

It is a quick, adaptable & lean implementation of core jQuery designed specifically for the server.

Cheerio goes considerably more quickly than Puppeteer.

Difference between Cheerio and Puppeteer

Cheerio is merely a DOM parser that helps in the exploration of unprocessed HTML and XML data. It does not execute any Javascript on the page.

Puppeteer operates a complete browser, runs all Javascript, and handles all XHR requests.

Note: XHR provides the ability to send network requests between the browser and a server.

Conclusion

In conclusion, Node.js empowers programmers in web development to create robust web scrapers for efficient data extraction. Node.js's powerful features and libraries streamline the process of building effective web scrapers. However, it is essential to prioritize legal and ethical considerations when engaging in Node.js web development for web scraping to ensure responsible data extraction practices.

[macmanx]

According to a forthcoming report from The Authors Guild, the median income for a full-time writer last year was $23,000. And writers' incomes declined by 42% between 2009 and 2019.

The advent of text-based generative AI applications like GPT-4 and Bard, that scrape the Web for authors' content without permission or compensation and then use it to produce new content in response to users' prompts, is giving writers across the country even more cause for worry.

"There's no urgent need for AI to write a novel," said Alexander Chee, the bestselling author of novels like Edinburgh and The Queen of the Night. "The only people who might need that are the people who object to paying writers what they're worth."

[sindhu14]

What is Python, How to Learn Python?

What is Python?

Python is a high-level, interpreted programming language known for its simplicity and readability. It is widely used in various fields like: ✅ Web Development (Django, Flask) ✅ Data Science & Machine Learning (Pandas, NumPy, TensorFlow) ✅ Automation & Scripting (Web scraping, File automation) ✅ Game Development (Pygame) ✅ Cybersecurity & Ethical Hacking ✅ Embedded Systems & IoT (MicroPython)

Python is beginner-friendly because of its easy-to-read syntax, large community, and vast library support.

How Long Does It Take to Learn Python?

The time required to learn Python depends on your goals and background. Here’s a general breakdown:

1. Basics of Python (1-2 months)

If you spend 1-2 hours daily, you can master:

Variables, Data Types, Operators

Loops & Conditionals

Functions & Modules

Lists, Tuples, Dictionaries

File Handling

Basic Object-Oriented Programming (OOP)

2. Intermediate Level (2-4 months)

Once comfortable with basics, focus on:

Advanced OOP concepts

Exception Handling

Working with APIs & Web Scraping

Database handling (SQL, SQLite)

Python Libraries (Requests, Pandas, NumPy)

Small real-world projects

3. Advanced Python & Specialization (6+ months)

If you want to go pro, specialize in:

Data Science & Machine Learning (Matplotlib, Scikit-Learn, TensorFlow)

Web Development (Django, Flask)

Automation & Scripting

Cybersecurity & Ethical Hacking

Learning Plan Based on Your Goal

📌 Casual Learning – 3-6 months (for automation, scripting, or general knowledge) 📌 Professional Development – 6-12 months (for jobs in software, data science, etc.) 📌 Deep Mastery – 1-2 years (for AI, ML, complex projects, research)

Scope @ NareshIT:

At NareshIT’s Python application Development program you will be able to get the extensive hands-on training in front-end, middleware, and back-end technology.

It skilled you along with phase-end and capstone projects based on real business scenarios.

Here you learn the concepts from leading industry experts with content structured to ensure industrial relevance.

An end-to-end application with exciting features

Earn an industry-recognized course completion certificate.

For more details:

[ogma-conceptions]

Why Should You Do Web Scraping for python

Web scraping is a valuable skill for Python developers, offering numerous benefits and applications. Here’s why you should consider learning and using web scraping with Python:

1. Automate Data Collection

Web scraping allows you to automate the tedious task of manually collecting data from websites. This can save significant time and effort when dealing with large amounts of data.

2. Gain Access to Real-World Data

Most real-world data exists on websites, often in formats that are not readily available for analysis (e.g., displayed in tables or charts). Web scraping helps extract this data for use in projects like:

Data analysis

Machine learning models

Business intelligence

3. Competitive Edge in Business

Businesses often need to gather insights about:

Competitor pricing

Market trends

Customer reviews Web scraping can help automate these tasks, providing timely and actionable insights.

4. Versatility and Scalability

Python’s ecosystem offers a range of tools and libraries that make web scraping highly adaptable:

BeautifulSoup: For simple HTML parsing.

Scrapy: For building scalable scraping solutions.

Selenium: For handling dynamic, JavaScript-rendered content. This versatility allows you to scrape a wide variety of websites, from static pages to complex web applications.

5. Academic and Research Applications

Researchers can use web scraping to gather datasets from online sources, such as:

Social media platforms

News websites

Scientific publications

This facilitates research in areas like sentiment analysis, trend tracking, and bibliometric studies.

6. Enhance Your Python Skills

Learning web scraping deepens your understanding of Python and related concepts:

HTML and web structures

Data cleaning and processing

API integration

Error handling and debugging

These skills are transferable to other domains, such as data engineering and backend development.

7. Open Opportunities in Data Science

Many data science and machine learning projects require datasets that are not readily available in public repositories. Web scraping empowers you to create custom datasets tailored to specific problems.

8. Real-World Problem Solving

Web scraping enables you to solve real-world problems, such as:

Aggregating product prices for an e-commerce platform.

Monitoring stock market data in real-time.

Collecting job postings to analyze industry demand.

9. Low Barrier to Entry

Python's libraries make web scraping relatively easy to learn. Even beginners can quickly build effective scrapers, making it an excellent entry point into programming or data science.

10. Cost-Effective Data Gathering

Instead of purchasing expensive data services, web scraping allows you to gather the exact data you need at little to no cost, apart from the time and computational resources.

11. Creative Use Cases

Web scraping supports creative projects like:

Building a news aggregator.

Monitoring trends on social media.

Creating a chatbot with up-to-date information.

Caution

While web scraping offers many benefits, it’s essential to use it ethically and responsibly:

Respect websites' terms of service and robots.txt.

Avoid overloading servers with excessive requests.

Ensure compliance with data privacy laws like GDPR or CCPA.

If you'd like guidance on getting started or exploring specific use cases, let me know!

[writter123]

Key Programming Languages Every Ethical Hacker Should Know

In the realm of cybersecurity, ethical hacking stands as a critical line of defense against cyber threats. Ethical hackers use their skills to identify vulnerabilities and prevent malicious attacks. To be effective in this role, a strong foundation in programming is essential. Certain programming languages are particularly valuable for ethical hackers, enabling them to develop tools, scripts, and exploits. This blog post explores the most important programming languages for ethical hackers and how these skills are integrated into various training programs.

Python: The Versatile Tool

Python is often considered the go-to language for ethical hackers due to its versatility and ease of use. It offers a wide range of libraries and frameworks that simplify tasks like scripting, automation, and data analysis. Python’s readability and broad community support make it a popular choice for developing custom security tools and performing various hacking tasks. Many top Ethical Hacking Course institutes incorporate Python into their curriculum because it allows students to quickly grasp the basics and apply their knowledge to real-world scenarios. In an Ethical Hacking Course, learning Python can significantly enhance your ability to automate tasks and write scripts for penetration testing. Its extensive libraries, such as Scapy for network analysis and Beautiful Soup for web scraping, can be crucial for ethical hacking projects.

JavaScript: The Web Scripting Language

JavaScript is indispensable for ethical hackers who focus on web security. It is the primary language used in web development and can be leveraged to understand and exploit vulnerabilities in web applications. By mastering JavaScript, ethical hackers can identify issues like Cross-Site Scripting (XSS) and develop techniques to mitigate such risks. An Ethical Hacking Course often covers JavaScript to help students comprehend how web applications work and how attackers can exploit JavaScript-based vulnerabilities. Understanding this language enables ethical hackers to perform more effective security assessments on websites and web applications.

Biggest Cyber Attacks in the World

C and C++: Low-Level Mastery

C and C++ are essential for ethical hackers who need to delve into low-level programming and system vulnerabilities. These languages are used to develop software and operating systems, making them crucial for understanding how exploits work at a fundamental level. Mastery of C and C++ can help ethical hackers identify and exploit buffer overflows, memory corruption, and other critical vulnerabilities. Courses at leading Ethical Hacking Course institutes frequently include C and C++ programming to provide a deep understanding of how software vulnerabilities can be exploited. Knowledge of these languages is often a prerequisite for advanced penetration testing and vulnerability analysis.

Bash Scripting: The Command-Line Interface

Bash scripting is a powerful tool for automating tasks on Unix-based systems. It allows ethical hackers to write scripts that perform complex sequences of commands, making it easier to conduct security audits and manage multiple tasks efficiently. Bash scripting is particularly useful for creating custom tools and automating repetitive tasks during penetration testing. An Ethical Hacking Course that offers job assistance often emphasizes the importance of Bash scripting, as it is a fundamental skill for many security roles. Being proficient in Bash can streamline workflows and improve efficiency when working with Linux-based systems and tools.

SQL: Database Security Insights

Structured Query Language (SQL) is essential for ethical hackers who need to assess and secure databases. SQL injection is a common attack vector used to exploit vulnerabilities in web applications that interact with databases. By understanding SQL, ethical hackers can identify and prevent SQL injection attacks and assess the security of database systems. Incorporating SQL into an Ethical Hacking Course can provide students with a comprehensive understanding of database security and vulnerability management. This knowledge is crucial for performing thorough security assessments and ensuring robust protection against database-related attacks.

Understanding Course Content and Fees

When choosing an Ethical Hacking Course, it’s important to consider how well the program covers essential programming languages. Courses offered by top Ethical Hacking Course institutes should provide practical, hands-on training in Python, JavaScript, C/C++, Bash scripting, and SQL. Additionally, the course fee can vary depending on the institute and the comprehensiveness of the program. Investing in a high-quality course that covers these programming languages and offers practical experience can significantly enhance your skills and employability in the cybersecurity field.

Certification and Career Advancement

Obtaining an Ethical Hacking Course certification can validate your expertise and improve your career prospects. Certifications from reputable institutes often include components related to the programming languages discussed above. For instance, certifications may test your ability to write scripts in Python or perform SQL injection attacks. By securing an Ethical Hacking Course certification, you demonstrate your proficiency in essential programming languages and your readiness to tackle complex security challenges. Mastering the right programming languages is crucial for anyone pursuing a career in ethical hacking. Python, JavaScript, C/C++, Bash scripting, and SQL each play a unique role in the ethical hacking landscape, providing the tools and knowledge needed to identify and address security vulnerabilities. By choosing a top Ethical Hacking Course institute that covers these languages and investing in a course that offers practical training and job assistance, you can position yourself for success in this dynamic field. With the right skills and certification, you’ll be well-equipped to tackle the evolving challenges of cybersecurity and contribute to protecting critical digital assets.

[krnetwork]

Unlock the Power of Python Programming: A Complete Guide

Python programming has become one of the most sought-after skills in the world of technology. Its simplicity, flexibility, and vast ecosystem of libraries make it a top choice for both beginners and experienced developers. In this guide, we will explore various aspects of Python programming, from basic concepts to advanced applications like machine learning and web development.

Python Programming: A Beginner-Friendly Language

Python programming is renowned for its readability and straightforward syntax, making it ideal for beginners. Whether you are just starting to code or transitioning from another language, Python offers a smooth learning curve. Key Python programming concepts include variables, data types, and control structures, which are essential for writing functional code.

Python Data Structures: Organizing Data Efficiently

One of the core strengths of Python programming is its rich set of data structures. Lists, dictionaries, tuples, and sets help you store and manage data effectively. Understanding Python data structures allows you to create more efficient programs by organizing and manipulating data effortlessly.

Functions in Python Programming: Building Reusable Code

Functions are a fundamental part of Python programming. They allow you to break down complex problems into smaller, reusable chunks of code. Python functions not only promote code reusability but also make your programs more organized and easier to maintain.

Loops in Python Programming: Automating Repeated Tasks

Loops are an essential feature in Python programming, allowing you to perform repeated operations efficiently. With Python loops such as for and while, you can iterate over sequences or perform tasks until a specific condition is met. Mastering loops is a key part of becoming proficient in Python.

Object-Oriented Programming in Python: Structured Development

Python programming supports object-oriented programming (OOP), a paradigm that helps you build structured and scalable software. OOP in Python allows you to work with classes and objects, making it easier to model real-world scenarios and design complex systems in a manageable way.

Python Automation Scripts: Simplify Everyday Tasks

Python programming can be used to automate repetitive tasks, saving you time and effort. Python automation scripts can help with file management, web scraping, and even interacting with APIs. With Python libraries like os and shutil, automation becomes a breeze.

Python Web Development: Creating Dynamic Websites

Python programming is also a popular choice for web development. Frameworks like Django and Flask make it easy to build robust, scalable web applications. Whether you're developing a personal blog or an enterprise-level platform, Python web development empowers you to create dynamic and responsive websites.

APIs and Python Programming: Connecting Services

Python programming allows seamless integration with external services through APIs. Using libraries like requests, you can easily interact with third-party services, retrieve data, or send requests. This makes Python an excellent choice for building applications that rely on external data or services.

Error Handling in Python Programming: Writing Resilient Code

Python programming ensures that your code can handle unexpected issues using error handling mechanisms. With try-except blocks, you can manage errors gracefully and prevent your programs from crashing. Error handling is a critical aspect of writing robust and reliable Python code.

Python for Machine Learning: Leading the AI Revolution

Python programming plays a pivotal role in machine learning, thanks to powerful libraries like scikit-learn, TensorFlow, and PyTorch. With Python, you can build predictive models, analyze data, and develop intelligent systems. Machine learning with Python opens doors to exciting opportunities in artificial intelligence and data-driven decision-making.

Python Data Science: Turning Data Into Insights

Python programming is widely used in data science for tasks such as data analysis, visualization, and statistical modeling. Libraries like pandas, NumPy, and Matplotlib provide Python programmers with powerful tools to manipulate data and extract meaningful insights. Python data science skills are highly in demand across industries.

Python Libraries Overview: Tools for Every Task

One of the greatest advantages of Python programming is its extensive library support. Whether you're working on web development, automation, data science, or machine learning, Python has a library for almost every need. Exploring Python libraries like BeautifulSoup, NumPy, and Flask can significantly boost your productivity.

Python GUI Development: Building User Interfaces

Python programming isn't just limited to back-end or web development. With tools like Tkinter and PyQt, Python programmers can develop graphical user interfaces (GUIs) for desktop applications. Python GUI development allows you to create user-friendly software with visual elements like buttons, text fields, and images.

Conclusion: Python Programming for Every Developer

Python programming is a versatile and powerful language that can be applied in various domains, from web development and automation to machine learning and data science. Its simplicity, combined with its extensive libraries, makes it a must-learn language for developers at all levels. Whether you're new to programming or looking to advance your skills, Python offers endless possibilities.

At KR Network Cloud, we provide expert-led training to help you master Python programming and unlock your potential. Start your Python programming journey today and take the first step toward a successful career in tech!