#Scrape Smart Devices Data
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actowiz1 · 2 years ago
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How to Scrape Smart Devices Data from Home Depot
'This guide will walk you through scraping smart device data from the Home Depot website.
konw more: https://www.actowizsolutions.com/scrape-smart-devices-data-from-home-depot.php
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taleeater · 2 years ago
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Dangerously Stupid Part 2
Part 1
Donatello felt he was in a daze. He had checked himself top to bottom and found no concussion (thankfully) and nothing more than a few scrapes and bruises. So that ruled out brain injury as the source for why he couldn’t focus on any of his work in the full day since. He kept getting distracted by…. You. 
Donnie has a device that picks up the signal from any cell phone or smart device he comes within 30 feet of while out on patrol, and automatically registers the information of that device into his system. This comes in handy when the need arises to erase any photos or data that may come up on these phones involving him or his brothers, and to monitor the whereabouts of any thugs or civilians they may come in close contact with. Meaning, he had your phone number, right on his screen in front of him. He knew this may seem creepy but it was for security purposes, and Leo said he always needed to monitor any civilians that got close to them for safety. That was his job. And also his job to find your current location registered on your phone in your apartment. …..And your wifi network, and your laptop currently hooked up to said wifi network. It showed you were actively using it. He wrestled with himself for a moment about respecting your privacy, but curiosity got the better of him, and he quickly took a peek at what you were currently looking at on your screen. ……It was a google search on how to give yourself stitches from home. What??? Surely you weren’t- were you scrolling through poorly drawn reference pictures on a wiki-how page?!?! You then switched to another tab and googled ‘can I use a sewing needle and thread to give myself stitches’. Donnie paled. The next search: ‘how to disinfect thread’. 
He put his face in his hands and groaned. Did you not go to the hospital last night?!?! What were you thinking? He looked back up and noticed the screen had been idle for a few minutes and he was getting really worried. He quickly hacked your laptop camera, privacy be damned- to take a look to see if you were okay. The image that was brought up was an empty chair, and in the background was a cozy warm looking apartment. But there was no movement. You hadn’t fainted out of your chair had you?! He was starting to panic when you suddenly came back into screen, moving slowly and almost falling back into your chair wearing the same pants you wore last night. You had on a small tank top with the strap down, and a bloodied white towel slung over your injured shoulder, carrying armfuls of supplies that you set down on your desk by your computer with shaking hands. You looked far more pale than you had last night.
“Alright let's see…. Next it says to soak the thread and needle in the disinfectant for about 10 minutes…. I hope the thread is long enough. Hmmm… I don’t have sterile gloves so hopefully washing my hands well is good enough…” You thought out loud to yourself. Donnie was about to smash his head on his desk from your careless words. He couldn’t take it anymore. 
“What the SHELL do you think you’re DOING?!?!” After a few quickly typed commands he was patched into your laptop’s audio and yelling into his microphone, causing you to jump- startled from where you were about to reach into the bowl of disinfectant to grab the needle after only 5 minutes. You instinctually started to lower the volume on your laptop, cursing about ads on these websites always popping up and surprising you. 
“No no no! I’m not an ad- wait a minute-” Donatello quickly typed in some more buttons and your screen froze to allow his webcam feed to pop up and take over your screen, making you gasp and almost fall out of your chair. “Stop that! You’re doing to hurt yourself- well, more than you already are. You’re going to give yourself an infection!! What were you thinking-”
“IT’S YOU!!!” You shouted in surprise, holding onto your desk so you didn’t fall. If not for the deep cut still oozing from your shoulder and the attempted robbery from last night rerunning on the 6 o’clock news, you would have assumed you had dreamed of your fated meeting with the large turtle men. After waking up in a cold sweat on your couch late that afternoon, you had instead decided to focus on giving yourself first aid. “How did you- what?” You babbled trying to figure out why the purple masked man’s face was currently lecturing you from your computer screen. A worrying wave of lightheadedness made you grip your desk tighter.
“I hacked your computer. Anyways, WHY AREN’T YOU AT THE HOSPITAL?!!!” Donnie shouted in exasperation. He barely registered the sound of his lab door opening as his shouting probably attracted the attention of one of his brothers. 
You stared at him blankly for a moment, waiting for your brain to restart and register his questions after the shock of getting to see him again. “I… I don’t have health insurance.” You said a bit bluntly, settling back into your chair heavily, and bracing your good arm against your desk as a new wave of nausea overtook you from your racing heartbeat. 
“....what was that?” Donnie quickly turned around to acknowledge Leo, who had entered the door and taken up a spot leaning against the back of Donnie’s chair watching the interaction play out. At least of all his family, his most level headed brother had come in. 
You still heard the faint question and continued. “My new job… I just moved to New York two months ago for my new job. They promised me a good starting salary and a full time position, but after only 3 weeks they started cutting back on my hours. They don’t pay benefits to part timers, so I’ve already lost access to my health insurance. ….They really screwed me over, so I’m just working for them until I find a new job. I really, really, can’t afford a hospital visit after this expensive move, so….” You gently motioned to the white towel on your shoulder, a startling spot of red starting to seep through. Leo recognized the location of the wound from last night. The two brothers felt their gut clench remembering how you had gotten it. In defense of Donnie’s life. 
You were starting to slouch more over your desk, your head spinning, and your laptop’s microphone now picking up your labored breathing. Leo could see the red flush drain from your face, and Donnie recognized the symptoms. Most likely, you were about to lose consciousness. 
“Wait wait wait, hold on stay with me.” Donnie quickly ordered you through his mic, his tone becoming more serious. He quickly typed into his keyboard, now understanding the situation a bit more, and the gravity of your condition. “Do you have any roommates, anyone staying with you right now?” With a level tone he asked you some standard questions to keep you conscious as he robotically pulled up your current address. Leo had already left the room to rally their brothers and gather the first aid kit, clearly already on the same page.
“…. no. Just me.” You said quietly, now focusing entirely too much on staying upright. You really felt like you were going to throw up now. But you were too busy wracking your dizzy brain for what his name was…. D…. Donna… Donnie…. “Donatello?” You said out loud, trying to focus.
“Yes, (y/n?)” He quickly answered as he continued to quickly type something on his keyboard, he was glancing between you and another screen at his desk every other second. You smiled. He remembered your name. “We are coming to see you. If you can, try to leave your window unlocked, and go lie down on your couch or your bed. What is your apartment number?” He was quick and clear with his orders, speaking like a true doctor, you thought blearily. But you were too out of it to question how or why he was coming over.
“Mmm… Room 517, 6th floor.” Gosh why did you ever think you could do this on your own. You suddenly felt really stupid. You were trying to take care of yourself so you wouldn’t have to rely on your family for help with medical bills, but now you were just causing problems for the kind hero you met last night. “I’m sorry Donnie… I think I’m gonna pass out.” You said apologetically, head going to rest tiredly on your table next to your computer. You could distinctly hear the sound of the city filtering in through your cracked open window behind you in the living room. Your dizzy spell gripping you much stronger than it had earlier when you had first moved to stand after sleeping all night on the couch. The next thing you hear is the rattle of plastic wheels scooting as presumably Donatello was standing from his desk.
“Don’t be sorry. We’re coming to help you now, okay? Just try to stay awake.” There was a whoop and some excited chattering in the background now and some more keys being hit from his consol. “I’ll see you soon.” Came the quick but warm reply from the purple masked turtle as his webcam feed disappeared from your laptop. 
A silence hung in the room. As if it had never happened. You shifted to look up at the screen detailing a poorly drawn cartoon image of a needle poking at the edge of a wound looking back at you, and groaned audibly. Burying your dizzy head back into your good arm for a moment, you tried to sit up to go move to the couch to wait, careful not to bump into the bowl of antiseptic holding your good sewing needle and black thread. Only moments earlier you were about to try and sew up your shoulder like you were hemming a new pair of pants, only to be caught by one of this city’s apparent mutant super heroes you had met only just last night. And now he was coming here. To help you. 
Feeling another huge wash of dizziness pass over you, almost making your knees buckle as you stumbled over to the couch, you felt a larger twinge of pain in your shoulder again. Taking a seat on the cheap couch cushion, you reached up to move the towel you had soaked in the antiseptic aside to inspect the wound. You must’ve stretched the skin when you were startled earlier, because the wound was leaking deep red again as a small trail started to escape down your arm before you could stop it. Must’ve been deeper than you thought. 
That was your last thought before you passed out, head lightly falling against the couch.
✨✨✨✨✨
“Are we almost there yet?? Ow!” Mikey called out ahead to Donnie before getting the back of his head smacked by Raphael. They were racing across rooftops making a beeline for your apartment building. Donatello, who usually gave sassy directions from the rear, was silent and serious leading the charge with Leo close behind carrying their largest portable first aid kit. 
Leo was keeping a close eye on his younger brother. When he walked by Don’s lab earlier, attracted by the shouting, he was startled to find his younger brother was talking to the person who had saved him the night before. Before he could question why, or get into his lecture about the dangers of contacting a human they only just met, he saw the look on his brother’s face. Donnie’s expression was beyond distressed. His usually level headed brother was shouting and worried because a civilian who was kind enough to step in and take a hit for him while he was down was- from what it looked like- still bleeding, almost 18 hours after the attack. And even worse from what he heard walking in, had no means of access to medical attention. He could understand Donnie’s frustration, but he was still surprised his brother had gotten this worked up.
“Hey…. Donnie,” Leo called out. “Everything alright…?” He said just low enough that it wouldn’t draw the attention of their brothers.
Donnie knew what he was getting at, so he cut right to the point. “I caught them before they could try and suture their own wound. With a sewing needle.” Donnie took a very very deep sigh. “By following a wiki-how tutorial.” Leo almost tripped off the building.
“….what?” He responded smartly. 
There was a loud snort from behind them. “Sounds badass.” Raph deadpanned and Mikey wore an expression of surprise followed by a quietly muttered ‘dude…’
Donnie groaned audibly. Thankfully your apartment building was now in sight. “I need to make sure their wound is properly disinfected before stitching it up. It’s the least I can do…” He thought back to last night. The long stare you two shared, and the concern and lack of fear you held for him in your eyes. He longed to see those eyes again… 
The building next to yours was at just the perfect height to leap across from the roof to your room’s fire escape. Leo was the first to land and give the all clear for his brothers to follow. Leo opened the window and stepped in just barely before Donnie practically toppled him over pushing past him to get inside. Snatching the first aid kit off Leo’s shoulder, Donnie quickly found your still form on the couch. 
“Right… we’ll stand guard. You’ll let us know if you need any help, okay Don?” Leo offered. Mikey pushed in through the window and made a beeline for the fridge, and Raph took a seat on the windowsill peaking in curiously.
“Yeah, Leo.” Donnie knelt quietly next to your form on the couch. All his attention was already on you.
 Leo went to stand around the living room trying to find the walls interesting while occasionally glancing at Donnie’s work, trying to stay out of the way.
Don checked you over, breath taken seeing your face again up close in the warm light of your apartment. Your breathing was deep and steady. Good. A little sweat on your brow, he looked down to see angry inflamed red skin peaking over your bare shoulder. He carefully moved the towel, stained in dried blood, and winced as the fabric pulled unstuck from the sticky bloody wound. 
You flinched, and Donnie felt his breath catch in his throat. But you did not awake, so he swallowed and signed, reaching down to open his medkit and take out a disinfecting wipe. The little damp pad unfolded and he carefully began to clean away the dried and sticky blood from around your cut so he could get a better look at the damage. There was definitely irritation but he hoped that no infection had taken hold yet. Next he disinfected his hands and pulled out his suture kit, and with practiced ease began to stitch up your shoulder. 
About 15 minutes later, and about 10 stitches into fixing you up, your eyelids fluttered open. The poking and pulling around your painfully sensitive cut had finally woken you up. You still felt dizzy and light headed, so made no sudden movements. Glancing down you saw the light reflecting off of a large polished shell. That’s right, Donnie. You still had a hard time grasping your current situation. Maybe you were in a fever dream. But there was the strangely handsome face of a mutant turtle sewing up your shoulder with his tongue poking out of the corner of his mouth in focus. His large goggles down over his eyes and a portable lamp light over his shoulder illuminating his work. 
You felt the poke of a new stitch and this time flinched with a little muttered “Ouch!” and suddenly you were blinded by the light hitting your face as Donnie startled and turned to face you. 
“Oh! You’re awake! Um… Sorry I’m uh… not quite done yet. I hope this is okay-” He quickly mumbled. His free hand that braced your shoulder gave an encouraging squeeze. 
You blinked a moment as your eyes adjusted to the light. He glanced back at his work and back to you and you nodded twice. 
“I need you to hold still for just a few more minutes, I’m just about finished. Okay? It’s going to sting a little.”
“...yeah. Got it.” You nodded, feeling your head quickly clear up as you felt the pinch and sting of the needle again, bracing yourself to hold still while your brows tensed from the discomfort.
You looked around your room to distract yourself from the pain. Looking across your coffee table you saw one of the other turtle mutants, the one wearing the blue bandana and caught his eyes for a moment before he quickly averted them to pretend he wasn’t staring. But after a moment he looked back at you and offered a quick nod in greeting. You supposed he might be a little shy and was trying to hide it. By your window you also caught the large cracked shell of another one. He glanced over his shoulder and met your eyes, studying you for a moment as you also took in the scar on his lips and the toothpick, before he also nodded at you with a little ‘hey’ in greeting. 
“Yo, is dudette awake? Morning sleeping beauty!” An energetic orange masked turtle man, holding a half full can of your soda, practically jumped into your line of sight, startling you a bit with a gasp. “You remember me? I’m Mik- Ouch! Leo!!” The blue masked turtle called Leo smacked him on the back of his head to quiet him with a shush.
“Mikey, I’m still working. Don’t freak them out.” Donnie quickly added, making sure you weren’t gonna move again before continuing.
“Yeah genius, your ugly mug almost made em’ pull a stitch. Save the dramatic introductions for later.” The red masked turtle sneered at Mikey. You vaguely recalled him being named ‘Raph’.
Leo, Raph, Mikey, and… “Donnie?”
You caught yourself saying out loud, making said turtle jump a little.
“Y-Yes, (y/n)?” He stuttered as he helped carefully pull you into a sitting position. The stitches were finished and it was time to wrap the wound. He reached into his bag and pulled out a package of fresh gauze.
You carefully watched him unwrap the gauze, his hands slightly shaking. “How do you know each other?” You asked him, meeting his eyes, then looking over to the others spread out in your living room.
“Brothers. We’re brothers.” Leo answered helpfully. 
“Brothers… that makes sense…” You considered how they all acted around each other and smiled warmly, looking back to meet Donnie’s eyes.
He was lifting up his goggles back to the top of his head and his eyes widened at your expression. He turned away to put his tortoiseshell glasses back in place, clearing his throat. 
“Yes, they’re… my brothers.” He tentatively smiled back at you, and began to wrap up your shoulder. 
You watched him thoughtfully for a moment, and glanced over at his brothers now quietly arguing about something over by the window. Mikey quickly looked back over at you with a bright smile before turning back to the conversation animatedly and shushing his brothers a little, earning him a smack as Raph and Leo both also shared a look with you briefly. You raised a curious brow at the antics. They were like gossiping school kids… definitely brothers.
“Hey Donnie… Sorry for causing you all trouble like this. …I didn’t want to involve anyone and thought I could handle it myself.” You said looking down. “....Thank you for coming to my rescue.” You looked up to meet his gaze and smiled at him.
“No no, this is…. It’s the least I could do. After all, I should be the one thanking you. You got this injury from coming to my rescue, I…. Thank you.” His hands stilled a moment in the midst of his wrapping and gave you a shy smile. He looked kind. 
Donnie finished the rest of the wrapping slowly, fastening the end in place carefully. 
“Um… You should change the wrapping every other day. Call me if there’s any trouble, like puffy redness around the stitches or if it starts bleeding or starts to show signs of infection-”
“Hey-” Leo suddenly cuts Donnie off, making you both look over to him where he was emerging from the group huddle. 
“How about, we come back- *ahem* Donnie, comes back again to check on you in a few days. Does… that sound good?” He asked carefully. Mikey jumping around excitedly in the background and getting a playful push from a grinning Raph. You turned with a raised eyebrow to Donatello. He was currently gawking at his older brother, glancing back between you and the blue leader. You couldn’t help but giggle a little at the antics.
“...Sure. I’d love that. If… you don’t mind, that is?” You asked the flustered purple masked mutant.
“I- I- Yes. Yes, of course. It would be my pleasure. Um. S- Next Saturday then? If you’re free?” He gathered himself and asked you kindly.
“That would be perfect.” You smiled widely, taking his hand in both of yours. “It would be nice to see you when neither of us are in danger for a change.” 
Donnie’s eyes seemed to soften as he looked at you warmly. “I would like that. Very much.” He held your hands back softly as he rose from his seat beside you. His brothers were already starting to filter out through the window, except for Mikey who was hooting and hollering quietly before getting bodily pulled through the window by his two older brothers. 
“So… next Saturday night? 9pm?”
“I’ll be here.” You responded, following him to the window. He carefully climbed out onto your balcony. He waved a final goodbye to you as he perched on the railing, and with a mighty jump, he leapt out of sight. You lunged for the railing where he just stood, looking out above you hearing whoops and cheers from the brothers as you caught a final sight of them running over the city skyline. And with a deep breath of the cool night air, you sighed in relief that you weren’t dreaming. 
Leo, Raph, Mikey, and
Donatello. You’ll have to remember that. You thought with a grin.
To the people who wanted to be updated when part 2 was released. Sorry for the long wait!! Thanks for the support!
@saspas-corner @misfortunekeep @valen-yamyam16 @genesis378
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renapuppy · 3 months ago
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I want some use of my phone that is not either of
a: a vehicle for advertisement
b: any social media app that incentivizes you to keep scrolling forever and also a vehicle for advertisement (see point a)
I hate that the first thing my dysregulated brain wants to do to fill the void is to just sit and consume until I feel so numb that I get sick of it
I hate that the model for the vast majority of phone apps to is scrape for data and advertise to you. what a horrible way to live. I miss the early smart device days when it all felt new and fresh. now everyone wants to sell your personal data or sell u something
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nebulaad · 3 months ago
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more and more posts are like flipping out about smart lights so lemme just make something totally clear. I don't think it's insane to want tech conveniences. It's not inherently evil for a person to want to control their lights without any dexterity or ambulation (whether or not that's an issue for the individual), it's not even surprising that people want to skillfully edit their own photos to post on facebook, of course people want robot vacuums to do it for them with minimal input from them, and I maintain from the moment the Home-style robot assistants existed, I think if they weren't being used for a broader tech evil I think they were truly the last bastion of anyone on a tech team even trying by accident to create something useful to reshape the landscape of tech use.
the problem isn't that people are lazy and stupid inherently, it's the way businesses 1) immediately design a pump and dump with these devices and technologies, 2) as quickly, create a scarcity of the prior methodology to force people to engage with their pump and dump scam, 3) deploy these technologies to instantly begin scraping data from us, 4) make use of such technologies that would be convenient for the individual to cut corners on their business expenses which always translates to laying off workers, and 5) don't even create that efficient of a product in the first place.
I don't think there's a huge problem if like your mom wants to use AI to cut strangers out of the background of her photos. I personally find such doctoring of photos to be inauthentic and against the actual spirit of taking photos in the first place, but that's completely irrelevent. The real problem is that a scammy website is going to make your mom pay a subscription in order to use a program that barely works to do a slash job on her pictures and add a bunch of weird features like forcing everyone to smile because some wannabe tech mogul who was never in touch with reality to begin with thought that sounded like a good idea, the service is going to be gone in four months (and probably charge the subscription for another five months after that), they're going to make their money off of selling your family photos to train datasets that identify the demographical information of your family to better sell you ads at best and train military equipment to better identify people to kill at worst, and then Windows will shut down whatever program she was using to regular edit her photos because everyone started using Blorpy so they'll come out with Microsoft Schlorpy. And then you get laid off because your boss decided Microsoft Schlorpy can basically do your job.
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mindyourtopics44 · 1 year ago
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25 Python Projects to Supercharge Your Job Search in 2024
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Introduction: In the competitive world of technology, a strong portfolio of practical projects can make all the difference in landing your dream job. As a Python enthusiast, building a diverse range of projects not only showcases your skills but also demonstrates your ability to tackle real-world challenges. In this blog post, we'll explore 25 Python projects that can help you stand out and secure that coveted position in 2024.
1. Personal Portfolio Website
Create a dynamic portfolio website that highlights your skills, projects, and resume. Showcase your creativity and design skills to make a lasting impression.
2. Blog with User Authentication
Build a fully functional blog with features like user authentication and comments. This project demonstrates your understanding of web development and security.
3. E-Commerce Site
Develop a simple online store with product listings, shopping cart functionality, and a secure checkout process. Showcase your skills in building robust web applications.
4. Predictive Modeling
Create a predictive model for a relevant field, such as stock prices, weather forecasts, or sales predictions. Showcase your data science and machine learning prowess.
5. Natural Language Processing (NLP)
Build a sentiment analysis tool or a text summarizer using NLP techniques. Highlight your skills in processing and understanding human language.
6. Image Recognition
Develop an image recognition system capable of classifying objects. Demonstrate your proficiency in computer vision and deep learning.
7. Automation Scripts
Write scripts to automate repetitive tasks, such as file organization, data cleaning, or downloading files from the internet. Showcase your ability to improve efficiency through automation.
8. Web Scraping
Create a web scraper to extract data from websites. This project highlights your skills in data extraction and manipulation.
9. Pygame-based Game
Develop a simple game using Pygame or any other Python game library. Showcase your creativity and game development skills.
10. Text-based Adventure Game
Build a text-based adventure game or a quiz application. This project demonstrates your ability to create engaging user experiences.
11. RESTful API
Create a RESTful API for a service or application using Flask or Django. Highlight your skills in API development and integration.
12. Integration with External APIs
Develop a project that interacts with external APIs, such as social media platforms or weather services. Showcase your ability to integrate diverse systems.
13. Home Automation System
Build a home automation system using IoT concepts. Demonstrate your understanding of connecting devices and creating smart environments.
14. Weather Station
Create a weather station that collects and displays data from various sensors. Showcase your skills in data acquisition and analysis.
15. Distributed Chat Application
Build a distributed chat application using a messaging protocol like MQTT. Highlight your skills in distributed systems.
16. Blockchain or Cryptocurrency Tracker
Develop a simple blockchain or a cryptocurrency tracker. Showcase your understanding of blockchain technology.
17. Open Source Contributions
Contribute to open source projects on platforms like GitHub. Demonstrate your collaboration and teamwork skills.
18. Network or Vulnerability Scanner
Build a network or vulnerability scanner to showcase your skills in cybersecurity.
19. Decentralized Application (DApp)
Create a decentralized application using a blockchain platform like Ethereum. Showcase your skills in developing applications on decentralized networks.
20. Machine Learning Model Deployment
Deploy a machine learning model as a web service using frameworks like Flask or FastAPI. Demonstrate your skills in model deployment and integration.
21. Financial Calculator
Build a financial calculator that incorporates relevant mathematical and financial concepts. Showcase your ability to create practical tools.
22. Command-Line Tools
Develop command-line tools for tasks like file manipulation, data processing, or system monitoring. Highlight your skills in creating efficient and user-friendly command-line applications.
23. IoT-Based Health Monitoring System
Create an IoT-based health monitoring system that collects and analyzes health-related data. Showcase your ability to work on projects with social impact.
24. Facial Recognition System
Build a facial recognition system using Python and computer vision libraries. Showcase your skills in biometric technology.
25. Social Media Dashboard
Develop a social media dashboard that aggregates and displays data from various platforms. Highlight your skills in data visualization and integration.
Conclusion: As you embark on your job search in 2024, remember that a well-rounded portfolio is key to showcasing your skills and standing out from the crowd. These 25 Python projects cover a diverse range of domains, allowing you to tailor your portfolio to match your interests and the specific requirements of your dream job.
If you want to know more, Click here:https://analyticsjobs.in/question/what-are-the-best-python-projects-to-land-a-great-job-in-2024/
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educationtech · 9 days ago
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Beyond the Books: Real-World Coding Projects for Aspiring Developers
One of the best colleges in Jaipur, which is Arya College of Engineering & I.T. They transitioning from theoretical learning to hands-on coding is a crucial step in a computer science education. Real-world projects bridge this gap, enabling students to apply classroom concepts, build portfolios, and develop industry-ready skills. Here are impactful project ideas across various domains that every computer science student should consider:
Web Development
Personal Portfolio Website: Design and deploy a website to showcase your skills, projects, and resume. This project teaches HTML, CSS, JavaScript, and optionally frameworks like React or Bootstrap, and helps you understand web hosting and deployment.
E-Commerce Platform: Build a basic online store with product listings, shopping carts, and payment integration. This project introduces backend development, database management, and user authentication.
Mobile App Development
Recipe Finder App: Develop a mobile app that lets users search for recipes based on ingredients they have. This project covers UI/UX design, API integration, and mobile programming languages like Java (Android) or Swift (iOS).
Personal Finance Tracker: Create an app to help users manage expenses, budgets, and savings, integrating features like OCR for receipt scanning.
Data Science and Analytics
Social Media Trends Analysis Tool: Analyze data from platforms like Twitter or Instagram to identify trends and visualize user behavior. This project involves data scraping, natural language processing, and data visualization.
Stock Market Prediction Tool: Use historical stock data and machine learning algorithms to predict future trends, applying regression, classification, and data visualization techniques.
Artificial Intelligence and Machine Learning
Face Detection System: Implement a system that recognizes faces in images or video streams using OpenCV and Python. This project explores computer vision and deep learning.
Spam Filtering: Build a model to classify messages as spam or not using natural language processing and machine learning.
Cybersecurity
Virtual Private Network (VPN): Develop a simple VPN to understand network protocols and encryption. This project enhances your knowledge of cybersecurity fundamentals and system administration.
Intrusion Detection System (IDS): Create a tool to monitor network traffic and detect suspicious activities, requiring network programming and data analysis skills.
Collaborative and Cloud-Based Applications
Real-Time Collaborative Code Editor: Build a web-based editor where multiple users can code together in real time, using technologies like WebSocket, React, Node.js, and MongoDB. This project demonstrates real-time synchronization and operational transformation.
IoT and Automation
Smart Home Automation System: Design a system to control home devices (lights, thermostats, cameras) remotely, integrating hardware, software, and cloud services.
Attendance System with Facial Recognition: Automate attendance tracking using facial recognition and deploy it with hardware like Raspberry Pi.
Other Noteworthy Projects
Chatbots: Develop conversational agents for customer support or entertainment, leveraging natural language processing and AI.
Weather Forecasting App: Create a user-friendly app displaying real-time weather data and forecasts, using APIs and data visualization.
Game Development: Build a simple 2D or 3D game using Unity or Unreal Engine to combine programming with creativity.
Tips for Maximizing Project Impact
Align With Interests: Choose projects that resonate with your career goals or personal passions for sustained motivation.
Emphasize Teamwork: Collaborate with peers to enhance communication and project management skills.
Focus on Real-World Problems: Address genuine challenges to make your projects more relevant and impressive to employers.
Document and Present: Maintain clear documentation and present your work effectively to demonstrate professionalism and technical depth.
Conclusion
Engaging in real-world projects is the cornerstone of a robust computer science education. These experiences not only reinforce theoretical knowledge but also cultivate practical abilities, creativity, and confidence, preparing students for the demands of the tech industry.
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ivy158 · 23 days ago
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IPPeak: The Key to Unlocking the Online World
We are all explorers in the vast digital landscape. But have you ever faced these frustrations: a video you want to watch says “not available in your region,” the price of a product suddenly spikes, or your web scraping efforts keep getting blocked? Behind these issues lies an “invisible key” — proxy IP technology.
1. A Passport to Global Content Access
Imagine wanting to watch an exclusive show on a foreign streaming platform, only to see: “Due to licensing restrictions, this content is unavailable in your region.” A proxy IP can instantly solve this problem.
2. The Smart Shopper’s Secret Weapon
Savvy online shoppers know prices vary across regions and devices. With proxy IPs, you can:
Compare prices globally: See real-time pricing across different markets
Snag limited-edition items: Bypass regional purchase restrictions
Unlock local deals: Access exclusive discounts in specific areas
3. The Compliant Choice for Business Data Collection
For companies conducting market research or competitive analysis, frequent website visits often lead to IP bans. Proxy IPs provide a legal solution:
Distributed crawling: Mimic real users from different locations
Anti-blocking strategies: Avoid detection by rotating IPs
Big data collection: Gather accurate, unbiased market insights
4. The First Line of Defense in Cybersecurity
Proxy IPs play a crucial role in security:
Penetration testing: Simulate attacks to find vulnerabilities
Anonymous investigations: Protect journalists and researchers
Confidential operations: Ensure privacy for sensitive decisions
5. A Must-Have for Social Media Management
For global marketing teams, proxy IPs help:
Manage multiple regional accounts simultaneously
Test localized ad performance
Monitor competitors’ activities worldwide
Choosing a Proxy IP Service: Key Considerations
While powerful, proxy IPs require responsible use:
Pick a reliable provider (We recommend IPPeak — stable, fast, and secure)
Respect website terms of service
Choose between residential or datacenter IPs based on needs
Avoid excessive usage to prevent abuse
Proxy IPs are like a “chameleon cloak” for the internet — when used wisely, they make digital life smoother and more flexible. But always remember: technology should serve ethical and legal purposes.
Have you ever needed a proxy IP? Share your experiences in the comments!
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reviewsbaba · 23 days ago
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Smartphone Future: New Technologies Shaping the Next Generation Mobile Experience
Smartphones have become an inseparable part of our daily lives, transforming how we communicate, work, and entertain ourselves. But as technology advances at an unknown pace, what does the smartphone unborn hold? From AI-powered relations to futuristic displays, let's explore the most promising inventions shaping the coming generation of smartphones.
Different Technologies for Shaping the Next Generation 
Here's a list of various technologies to shape the next generation mobile experience as follows:
1. AI and Machine Learning Integration
Artificial Intelligence( AI) is revolutionizing the smartphone future, making devices smarter and further intuitive. AI- driven features like voice assistants, real- time language restatement, and individualized recommendations are formerly common. But in the near future, AI'll take a leap forward:
Smarter Virtual Assistants: Enhanced AI sidekicks will understand user geste more deeply, furnishing visionary suggestions before you indeed ask.
Automated Photograph: AI-powered cameras will automatically adjust settings grounded on scene recognition, delivering professional-quality prints effortlessly.
Enhanced Security: AI-driven facial recognition and point scanning will make smartphone security nearly impenetrable.
2. 6G Connectivity The Next-Level Speed
5G is still rolling out globally, but 6G is formerly in development and set to review connectivity. Expected to be 100 times faster than 5G, it'll offer:
Instantaneous Data Transfers: Download pictures in seconds and experienceultra-smooth cloud gaming.
Seamless IoT Integration: Smartphones will serve as control capitals for smart homes, independent vehicles, and wearable bias.
Holographic Communication: 6G could enable real- time, high-description holographic calls, making video exchanges feel like in-person meetings.
3. Foldable and Rollable Displays
The smartphone future is moving beyond traditional flat defenses. Foldable phones, like Samsung’s Galaxy Z Fold and Motorola Razr, are just the morning. Upcoming inventions include:
Rollable Displays: Phones that extend and retract their screen size dynamically.
Transparent defenses: Concept devices show displays that allow users to see through their phone.
Self-Healing defenses: Researchers are developing materials that can repair minor scrapes and cracks on their own.
4. Quantum and Bio-Sensors for Health Monitoring
The coming wave of smartphones will transfigure into particular health companions with built-in detectors that cover vital health criteria in real-time. Forthcoming features include:
Non-Invasive Blood Sugar Monitoring: Helping diabetic cases track glucose situations without pricking their fingers.
Early Disease Detection: Advanced bio-sensors could analyze sweat, breath, or skin changes to detect health issues before symptoms appear.
Mental Health Tracking: AI-driven analysis of speech patterns and facial expressions to detect early signs of anxiety or depression.
5. Augmented Reality( AR) and Virtual Reality( VR)
The smartphone future is set to revise how we interact with digital content. Augmented Reality(AR) and Virtual Reality(VR) will play a major part in:
Gaming and Entertainment: Immersive gests that blend virtual objects with the real world.
Virtual Shopping: Trying clothes, accessories, or cabinetwork through AR before copping.
Remote Work and Learning: Virtual meetings where actors appear as naturalistic 3D incorporations.
6. Eco-Friendly and Sustainable Smartphones
The tech industry is shifting toward sustainability, and unborn smartphones will be designed with the environment in mind. Inventions include:
Biodegradable Components: Phones made from organic materials that reduce-waste.
Modular Designs: Replaceable parts to extend device lifetime rather than buying new phones.
Solar-Powered: Charging devices that harness the sun for power, reducing reliance on chargers.
7. Hyper-individualized User Experience
The smartphones of the hereafter will be uniquely acclimatized to individual users. Anticipate
Adaptive Interfaces: Phones that change layouts and features grounded on your habits.
AI-Powered Predictive: Typing Faster, more intuitive typing that understands your style and constantly used expressions.
Gesture and Brain-Controlled Phones: Imagine controlling your phone with just a study or a simple hand movement.
8. Advanced Battery Technology
Battery life has always been a major concern, and the smartphone future is addressing it with groundbreaking innovations: 
Graphene Batteries: Faster charging and longer-lasting power compared to lithium-ion batteries. 
Wireless Over-the-Air Charging: Devices will charge without needing cables or direct contact with a charging pad. 
Self-Charging Phones: Phones that harness kinetic energy or solar power to recharge on the go. 
9. Smarter and More Secure Authentication 
With cyber threats on the rise, future smartphones will feature enhanced security measures to protect personal data: 
Iris and Vein Recognition: More secure than traditional fingerprint scanning.
Blockchain-Based Security: Decentralized storage of sensitive information to prevent hacking. 
Zero-Click Authentication: Seamless authentication using behavioral biometrics, eliminating the need for passwords.
The Smartphone Future with Tesco Mobile
The smartphone future is thrilling, with inventions that promise faster connectivity, smarter AI, groundbreaking designs, and unparalleled health monitoring. As these technologies evolve, our smartphones will come indeed more integral to our lives, reconsidering convenience, security, and personalization. One thing is certain the best is yet to come! Tesco Mobile plays a vital part in making these advancements accessible, offering flexible plans, affordable devices, and unmatched customer gratuities. As you step into the smartphone future, let Tesco Mobile be your trusted partner.
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govindhtech · 2 months ago
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PyRDP And Rogue RDP: Automating Malicious RDP Exploits
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PyRDP automates file exfiltration and clipboard theft for rogue RDP campaigns. This method allows unnoticed spying via hacked remote desktop sessions.
Remote Desktop Protocol?
The Windows service Remote Desktop Protocol (RDP) allows Terminal Servers and Clients to communicate. This system uses “virtual channels” to convey data from presentations, keyboard and mouse actions, clipboards, and serial devices. Traditional RDP security research has focused on how attackers with authentic victim credentials may get full GUI access to a machine.
Innovative New Campaign RDP Use
Google Threat Intelligence Group (GTIG) uncovered a new phishing campaign tied to UNC5837, a suspected Russian espionage actor, in October 2024. This effort targeted European military and political institutions using signed.rdp file attachments. Instead than stressing interactive sessions, this marketing ingeniously used two obscure RDP protocol features:
Resource redirection maps victim file systems to attacker servers.
RemoteApps: Giving victims access to attacker-controlled applications.
RDP proxy programs like PyRDP may automate dangerous actions like file exfiltration and clipboard gathering. This approach is called “Rogue RDP.” This effort focused on file theft and espionage.
Key RDP Features
.rdp configuration files: .rdp configuration files can change RDP session functionality by configuring IP addresses, display settings, and certificate options. These files setup an RDP session like the traditional GUI (mstsc.exe). The observed campaign used phishing emails with malware-signed.rdp file attachments. This file allowed the adversary to read and write all of the victim's discs and clipboard contents and create an RDP connection from the victim's computer.
The resource redirection capability lets remote desktop users utilise local peripherals and devices. This includes printers, keyboards, mouse, discs, serial connections, hardware keys, audio equipment, and clipboards. The observed campaign's malicious.rdp file sent all discs, printers, COM ports, smart cards, WebAuthn requests, clipboards, and POS devices to the attacker's C2 server. Microsoft's "virtual channels" allow resource redirection and RDP packet transmission.
RemoteApps: This optional RDP feature lets remote server apps run as windowed programs on the client (victim). Thus, a malicious remote program that isn't installed on the victim's PC may seem local. Malicious.rdp files in RemoteApp campaigns presented users with a fake “AWS Secure Storage Connection Stability Test” app.
This application was hosted on the attacker's RDP server and looked local. The session displays this application alone when remoteapplicationmode is 1. RemoteApp requires RDP server resources, yet mapped victim CDs allow RemoteApp access. This malware also received the victim's Windows environment variables as command-line arguments.
Function of PyRDP
PyRDP, an open-source Python-based MiTM RDP proxy toolkit, is used offensively. Even if its use in the claimed campaign is unverified, its automation makes it a feasible weapon for such attacks. PyRDP relays the victim-RDP server connection to boost capabilities:
Possible NTLM hash and plaintext password theft.
The RDP server executes commands, not the victim's machine.
Note the user's clipboard.
Mapping and maybe scraping drives.
Controlling, recording, and broadcasting RDP sessions.
PyRDP uses fine-grained control over built-in functionality rather than RDP protocol vulnerabilities. PyRDP might have been used in the campaign under observation to bypass the user login screen and reveal the malicious RemoteApp by giving credentials. Potential features include clipboard capture and automatic file exfiltration.
Security Risks and Effects
This campaign highlights unknown RDP security risks. It shows how attackers may employ lawful characteristics for evil, making identification and incident response harder due to fewer forensic artefacts than other attack routes. Even without direct command execution on target PCs, the attackers were able to access victim discs, steal files, collect clipboard data (including passwords), and steal environment variables. Signed.rdp files may bypass security alarms, reducing attack suspicion.
Advice for Defenders
The sources give several ways to fortify systems and identify these attacks:
Log Artefacts: Monitor registry keys (HKU\…\Microsoft\Terminal Server Client\Servers) and Windows Event Logs (Event IDs 1102, 1027, 1029) to comprehend an attacker's infrastructure. Increased logging (e.g., Sysmon) can track file write activity from C:\Windows\system32\mstsc.exe on redirected discs, however transient files should not be included. You may also use regex patterns to identify.rdp files run from email attachments.
System hardening: Network-level blocking of outgoing RDP traffic to public IPs, registry-based resource redirection disablement, and Group Policy-based granular RDP policy configuration (e.g., resource and clipboard redirection management, enforcing Network Level Authentication, and blocking.rdp file extensions as email attachments) can improve security.
Questionable RDP configuration files with a base64 encoded Let's Encrypt certificate or that allow resource redirection and RemoteApps can be identified using YARA criteria.
Final comments
The “Rogue RDP” campaign shows how to innovate with old tactics. The risk is dishonestly using actual RDP capabilities, not protocol weaknesses. To defend against such assaults and grasp PyRDP's potential, one must understand RDP features, notably resource redirection and RemoteApps.
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actowiz-123 · 2 years ago
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How to Scrape Smart Devices Data from Home Depot?
This guide will walk you through scraping smart device data from the Home Depot website.
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actowiz1 · 2 years ago
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How to Scrape Smart Devices Data from Home Depot
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Introduction
Web scraping has emerged as a powerful tool for collecting data from websites. In today's digital age, the ability to extract product information from online retailers is of great value. Suppose you're interested in gathering data on smart devices. In that case, Home Depot is a prime source with a vast selection of home improvement products, including a wide range of smart devices, from thermostats to security cameras.
This guide will walk you through scraping smart device data from the Home Depot website. Whether you're a tech enthusiast looking to stay updated on the latest smart home gadgets, a reseller seeking product information, or a data analyst interested in market trends, web scraping can provide the data you need.
Scraping data from websites like Home Depot allows you to access real-time product details, prices, availability, customer reviews, and specifications. It empowers you to make informed purchasing decisions, analyze market trends, and gain insights into consumer preferences. Moreover, this data can be invaluable for competitive analysis, price monitoring, and market research, enabling businesses to stay ahead in the ever-evolving smart device industry.
In the following sections, we will provide step-by-step guidance on how to set up a web scraping project to collect smart device data from Home Depot effectively and efficiently.
Essential Data Fields for Web Scraping Home Depot
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When scraping Home Depot for product data, understanding the key attributes you can extract is crucial. These attributes provide valuable information about the products you're interested in, such as smart devices. Let's explore some of the essential attributes you can collect:
Product Name: The product's name is the first information you'll want to scrape. It helps identify the item and is often used for search and categorization.
Product Description: The description details the smart device's features, functionality, and specifications. It's crucial to understand what the product offers.
Price: The price of the smart device is a vital attribute. It allows you to monitor pricing changes, identify discounts, and make informed purchase decisions.
Availability: This attribute indicates whether the product is in or out of stock. Both consumers and resellers need to know the availability status.
Customer Ratings and Reviews: Customer reviews and ratings offer insights into the product's quality, performance, and user satisfaction. Scraping this data can help you gauge the product's reception in the market.
Brand and Manufacturer: Identifying the brand or manufacturer of a smart device is valuable information. It can influence purchasing decisions and help you categorize and compare products.
Model Number: The model number provides a unique identifier for the product, making it easier to distinguish between similar items and perform specific searches.
Specifications: Specifications include technical details, such as dimensions, weight, power requirements, and compatibility. These details are essential for consumers and businesses looking for specific features.
Shipping Information: Information about shipping options, delivery times, and fees can be scraped. This helps users assess the convenience and cost of acquiring the product.
Images: Scraping product images allows you to visualize the smart device. Images are essential for product listings and can help with marketing and visual analysis.
Product URL: Collecting the product's URL is crucial for referencing and linking to the product page, making it easier to revisit or share the product with others.
Categories and Tags: Identifying the categories and tags assigned to the product can help you organize and categorize your data effectively.
Scraping these attributes from Home Depot's product listings provides a comprehensive dataset for smart devices. With this information, you can make informed decisions, track market trends, and conduct competitive analysis. Keep in mind that web scraping should always be done in compliance with Home Depot's terms of service and ethical web scraping guidelines.
Setting Up Essential Libraries for Data Scraping
To embark on a successful web scraping journey for Home Depot, you'll need to import specific libraries that streamline the process and equip you with the necessary tools for data extraction. Python is a popular choice for web scraping due to its versatility and many libraries tailored for this purpose. Here's a guide on importing the required libraries to scrape Home Depot effectively:
1. Requests Library
Start by importing the requests library. This library lets you send HTTP requests to Home Depot's website and retrieve the HTML content of the pages you intend to scrape. It's an essential component for web scraping in Python.import requests
2. Beautiful Soup:
Beautiful Soup is a Python library that helps parse HTML and XML documents. It allows you to navigate and search the HTML structure of web pages, making it easier to extract specific data elements.from bs4 import BeautifulSoup
3. Selenium (Optional)
In some cases, Home Depot may use JavaScript to load dynamic content. If you encounter such situations, the Selenium library can be beneficial. Selenium provides a web testing framework that can automate browser interactions, allowing you to access dynamically loaded content.from selenium import webdriver
4. Pandas
Once you've scraped data from Home Depot, you'll want to organize and store it efficiently. The Pandas library is a powerful tool for data manipulation and analysis. It allows you to create data frames and work with structured data seamlessly.import pandas as pd
5. CSV (Optional)
If you plan to save the scraped data as a CSV file, you can import the csv library. This is useful for exporting the data for further analysis or sharing with others.import csv
6. Other Libraries (As Needed)
Depending on your specific scraping requirements, you may need additional libraries for tasks such as handling regular expressions (re-library), dealing with time and dates (datetime library), or automating repetitive tasks (schedulers like APScheduler). Import these libraries as necessary for your project.
By importing these libraries, you'll have the foundational tools to set up your web scraping project for Home Depot. Remember that web scraping should always be performed according to Home Depot's terms of service and ethical guidelines. Additionally, consider the possibility of rate limiting, and always respect the website's policies to ensure responsible and legal scraping practices.
Initiating Web Scraping for Smart Devices: The Setup Phase
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This code initializes the web scraping process by sending an HTTP request to the Home Depot page with smart devices and then uses Beautiful Soup to parse the HTML content. It demonstrates how to extract product names as a starting point.
To further enhance your web scraping project, you can extend the code to extract additional attributes, implement rate limiting, and handle errors or exceptions. Additionally, consider automating and scheduling the scraping process if you need to collect data regularly.
Obtaining Product Links: Initiation of Web Scraping Process
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This code sends an HTTP GET request to the Home Depot page with smart devices and extracts the links of the product pages. It creates a list of product links and prints them.
You can adapt and extend this code to scrape more product details, automate the data collection, and store the links for further use in your web scraping project.
Creating Modular Functions for Web Scraping Tasks
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In this code, the scrape_product_links function encapsulates the web scraping logic for retrieving product links. You pass the URL as an argument to the function, and it returns the list of product links. This modular approach makes it easier to reuse this function for multiple pages or scraping tasks within your project. It also helps handle exceptions and errors gracefully.
You can define additional functions for various aspects of your web scraping project to keep your code organized and maintainable.
Storing Information in a CSV File Using Python
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In this code:
We define a list of data containing the data you want to write to the CSV file.
We specify the name of the CSV file as csv_file.
We open the CSV file in write mode using the open function with the 'w' mode and specify newline='' to ensure proper line endings.
We create a CSV writer object with csv.writer(file).
We loop through the data list and use the writerow method to write each row to the CSV file.
Finally, we print a message to confirm that the data has been written to the CSV file.
You can replace the sample data with the data you want to write to the CSV file in your web scraping project. This code can be integrated into your existing web scraping script to store the scraped data in a CSV file for further analysis or reporting.
Conclusion
Scraping valuable product data from Home Depot through web scraping is a gateway to data-driven success. Whether you seek to stay informed as a consumer, optimize pricing and inventory as a business, or conduct insightful market research, this process is indispensable. However, ethical and legal compliance is paramount. Actowiz Solutions offers a custom-tailored web scraping API, ensuring efficient, accurate, and responsible data collection. By harnessing their services, you can elevate your data-driven endeavors. As technology evolves, the significance of web scraping in accessing and utilizing e-commerce data remains steadfast, presenting a powerful tool for making informed decisions and gaining a competitive edge. You can also reach us for all your mobile app scraping, instant data scraper and web scraping service requirements.
konw more: https://www.actowizsolutions.com/scrape-smart-devices-data-from-home-depot.php
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tccicomputercoaching · 4 months ago
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Why Python is the #1 Programming Language
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Introduction
Python has stormed the world of programming! Whether you are a newcomer or a professional, there are chances that you've heard something about Python being the number one programming language. So, why is Python #1? Simply put, it is easy to learn, super flexible, and heavily used across domains such as web development, data science, automation, AI, and others. At TCCI (Tririd Computer Coaching Institute), we think that Python is the most ideal language to begin with and master your programming quest.
A Brief History of Python
Guido van Rossum invented Python in 1991 with a mission to create a language that was easy but strong. It has grown over the years with new developments and frameworks, and now it is one of the most sought-after languages today.
Why Python So Popular
Ease and Readability
Python is very easy to write and hence, good for beginners to learn. Compared to some other programming languages like C++ or Java, this generally helps you write less code than achieve more.
Versatility Across Different Fields
Python is used almost everywhere—be it website development or automation of mundane tasks, data science, or even hacking! No matter which domain you want to tap into, Python is there.
Role of Python in Web Development
Some of the world's most popular web applications are written in Python, owing to framework support from Django and Flask. With these, web applications can be efficiently and securely developed.
Python in Data Science and Machine Learning
Data scientists swear by Python! Data analysis has been a breeze, thanks to libraries like Pandas, NumPy, and Matplotlib; machine learning operations are supported by Scikit-learn and TensorFlow.
Automating and Scripting Using Python
Everywhere you look, there's automation with Python. From small scripts to large automation systems, you can automate file handling, web scraping, or simply monitoring the system.
Artificial Intelligence and Deep Learning Applying Python
Without a doubt, AI and deep learning depend on Python. With the help of TensorFlow and Torch, it is very easy and quick to make AI applications with Keras.
Cybersecurity and Ethical Hacking Using Python
Penetration testing, vulnerability analysis, and security tool development use Python as the primary weapon of choice for cybersecurity experts.
Game Development using Python
The truth is that even the gaming industry is now benefiting from Python. Libraries such as PyGame help developers effortlessly create 2D games and very simple 3D games.
Networking and Cloud Computing with Python
Python is an excellent tool for client/server and all about cloud services realized with tools like AWS and Google Cloud.
Python's Work on IoT (Internet of Things)
With Raspberry Pi, Python moves towards IoT developments, where the user configures innovative tech solutions and smart devices.
Python Community Support Development and Ecosystem
Python has the largest community of developers. Help, documents, libraries -- any aspect of support that you want is bound to have an active community around it in python.
Python for Beginners and Career Growth
Learning Python opens up many avenues for high-paying jobs like data analyst, machine learning engineer, and software developers.
The Future of Python
Thanks to AI and automation, along with cloud computing developments, demand for Python will continue to grow in the following years.
Final Statement
Ease of use, powerful libraries, and applicational breadth put Python way ahead as the #1 programming language. Learning Python at TCCI will upgrade you, whether a beginner or a direct expert, for the betterment of your career.
Location: Ahmedabad, Gujarat
Call now on +91 9825618292
Get information from https://tccicomputercoaching.wordpress.com/
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1globosetechnologysolutions · 5 months ago
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Data Collection for Machine Learning: The Key to Smarter AI Models
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Many modern industries, from health to finance, retail, and self-driving cars, have been permanently influenced by Artificial Intelligence. However, these models rely heavily for their effectiveness on one highly important aspect: quality data collection. No amount of sophisticated algorithms working on inaccurate and homogeneous data sets can achieve satisfactory results.
Machine learning models learn by identifying patterns in data. The clearer and richer the dataset is, the better the model's performance. This article will focus on why data collection is very important for machine learning, the ways in which quality data may be collected, the various issues met during the process, and prospects of AI in data collection for machine learning.
Why Data Collection is Crucial for AI Models
Machine learning algorithms absolutely won't work by themselves, whether expecting reports or being automated; they need to be supplied with immense quantities of training data such that they can:
Spot patterns and trends in real-world circumstances.
Enable better decision-making by decreasing errors.
Augment the predictive validity of various ventures like healthcare diagnoses and fraud identification.
Adapt to new data sets and improve performance with time.
If the data collection procedure fails, inaccurate predictions and biases will show up with a failed AI model.
Sources Of Data Collection For Machine Learning
Web Scraping And Online Data Repositories: The data collected for training in AI is, in the case of an organization, done by automated tools from any public sources, be they from sites, social media or research platforms. Open-source repositories, like Kaggle, UCI Machine Learning Repository, and Google Dataset Search, promise a centralized collection of datasets.
IoT And Sensor-Based Data: Smart devices, cameras, or a range of sensors produce large volumes of data in real-time in terms of their fit-to-use features such as smart cities, traffic monitoring, automation in industrial premises, etc.
Surveys And User Feedback: User-generated data, when deployed through surveys, feedback, or user behavior, enables AI models to deliver personalization in e-commerce, customer support, and healthcare.
Challenges in Data Collection for AI
Data Protection and Compliance: Legal and ethical standards must be ensured in data collection that protects the privacy of the users.
Bias in Data: Not having datasets with diverse demographics would lead the AI models to be biased against certain demographics and unfair decisions concerning hiring, lending, or healthcare.
Scarcity of Data in the Specialized Fields: In particular, the industries obliging the analysis of sensitive data, do not create many datasets.
Unstructured and Noisy Data: The raw data coming from hundreds of sources are subject to inconsistency, missing value errors, and unsuitable information, which could require much preprocessing.
Ethical Issues in AI Data Collection: Using facial recognition and other biometric information to track a user's behavior invites ethical controversies related to surveillance and consent.
Addressing these challenges ensures that AI models remain accurate, fair, and ethical in their applications.
Best Practices in the Collection of High-quality Data
Organizations should observe best practices when data collection is in view, such as:
Diversity in Databases: The AI applications on any data pipeline must train datasets that cater to various demographic environments and scenarios to eliminate bias.
Automate Data Cleaning and Data Preprocessing: The availability of tools to filter through, deduplicate, and normalize data is effective in improving data quality and thus reducing data quality challenges.
Secure Data Storage: Data collected should be protected from cyber threats or unauthorized access for compliance and security.
Transparency and Consent: They contest that users should be made aware of the harvesting and usage of their data so they can trust AI systems.
Continuously Update and Expand Datasets: The models will evolve through training on a regular basis with up-to-date data to accommodate changes in trends and behaviors.
By taking these measures, organizations would enhance the reliability of their machine learning applications.
Applications of AI-Driven Data Collection
Healthcare and Medical Diagnosis: An AI-enabled diagnostic will need to sift through huge amounts of medical images, patient records, and genomic information to predict and diagnose disease at early stages and recommend personalized treatments.
Autonomous Vehicles: Self-driving AI collects camera, LiDAR, and radar data to navigate the roads and operate securely in real time.
Financial Fraud Detection: Banks and financial institutions collect transaction data on which; they build AI models to identify illegal activities and avert fraud.
Personalization and E-Commerce: Online platforms collect behavioral user data to enhance recommendations, predict shopping trends, and increase customer satisfaction.
Smart Assistants and Speech Recognition: Voice assistants, such as Alexa and Siri, train using massive datasets of speech recordings to enhance significant NLP and user engagement.
These allow true-world applications to exhibit the transformative power that high-quality data collection holds over AI.
The Future of AI-Driven Data Collection
As AI evolves, methods of data collection will further become automated, safer, and more efficient in numerous ways, including:
Synthetic Data Generation: The AI model is going to generate synthetic training data that portrays life under realistic conditions, reducing the number of processes required to collect vast and laborious data.
Federated Learning: It will always allow many AI models to learn from various decentral sources from where the information comes without informing the sources at large, thereby enabling secure real-life AI applications in healthcare and finance.
Real-Time Data Streams: AI-powered analytics will depend on uninterrupted data streams from IoT devices and 5G networks to ensure quicker and more precise predictions.
Ethical AI and Fair Data Practices: Governments and tech companies will focus on making AI transparent, fair, and compliant with global data privacy regulations.
AI-Enhanced Data Labeling: Automated data annotation tools will help reduce the input of human agents and speed up the construction of a dataset for training an AI.
This innovation not only is scalable and significantly ethical, and eventually, makes room for efficiencies in AI training, propagation, and other circumstances.
Conclusion
Data collection is the foundation upon which machine learning stands, providing structure, texture, and intelligence to AI models. Every area-of-work, from healthcare to autonomous driving, will need to be backed by well-structured, diverse, and quality enriched data in order to sustain the AI system in businesses and for studying purposes.
For an organization that aims to design smarter AI models, strong data collection strategies should be the backbone for staying relevant in the realm of artificial intelligence.
Visit Globose Technology Solutions to see how the team can speed up your data collection for machine learning projects.
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jcmarchi · 6 months ago
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DJ Fang, Co-Founder & Chief Operating Officer at Pure Global – Interview Series
New Post has been published on https://thedigitalinsider.com/dj-fang-co-founder-chief-operating-officer-at-pure-global-interview-series/
DJ Fang, Co-Founder & Chief Operating Officer at Pure Global – Interview Series
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DJ Fang is a technology executive and entrepreneur with over 15 years of experience driving digital transformation and innovation across industries, including finance, energy, and healthcare. He has led initiatives for Fortune 500 companies and government agencies, combining business expertise with technical skills in AI, cybersecurity, and cloud infrastructure.
As a serial entrepreneur, Fang has successfully built and scaled businesses, excelling in product development, market strategy, and operational execution.
Pure Global combines real-world experience, AI, and data to create smart and efficient medical device regulatory consulting solutions for more than 30 markets.
Could you share your journey from working with top consulting firms like Deloitte and PwC to becoming the co-founder of Pure Global? What inspired this transition?
My journey to co-founding Pure Global was shaped by two pivotal moments. First, the COVID-19 pandemic threw the world into chaos, forcing individuals, businesses, and governments to re-evaluate how they operated. As a volunteer helping hospitals and schools source PPE, I gained firsthand insight into the challenges people faced adapting to sudden changes in regulations and market access. That experience really opened my eyes to a critical need.
Second, my entrepreneurial drive came into play. I’ve always been drawn to identifying challenges and creating effective solutions, embracing the process of refining and adapting ideas to address changing needs.
Before Pure Global, I had my own big data and cybersecurity consulting firm, and prior to that, I worked at Big Four firms like Deloitte and PwC. I was constantly pushing the boundaries of technology, creating custom solutions for clients facing unique challenges. It was exciting work, always dynamic and demanding.
At Pure Global, I’m tackling similar challenges but with a healthcare focus. We’re helping MedTech companies bring quality products to market faster and more efficiently. It’s incredibly rewarding to apply my skills and experience to make a real difference in this critical industry.
Pure Global was founded during a critical moment in the pandemic. What were the key challenges and opportunities you identified at that time that led to its creation?
During the pandemic, we began by volunteering to help hospitals and schools source PPE. As we worked with global suppliers, we gained insight into the complexities of international trade and regulations. While assisting manufacturers with changing pandemic rules, we also improved our internal processes for efficiency.
Initially, we only supported a few organizations. However, as requests from manufacturers seeking assistance across various countries grew, we identified a clear need – and a market opportunity – for technology to modernize traditional, often inefficient workflows. We saw an opportunity to make a significant impact by developing solutions to address these challenges
Your Resource Center leverages AI to provide real-time regulatory updates and compliance insights. Can you walk us through how the AI algorithms identify and prioritize regulatory changes across 30+ global markets? What challenges did you face in training these models?
Our Global Markets Resource Center serves as a centralized hub for the latest regulatory updates and insights across all major global medical device markets. We’ve built a robust system to gather regulatory data from diverse sources, such as official agency websites, legal databases, and public announcements. This includes web scraping with intelligent parsing to extract data from unstructured formats like PDFs and HTML, as well as using APIs where available.
When clients register their devices in our Pure Certification module, we leverage AI to suggest the most relevant changes and prioritize them for review. AI text embeddings and similarity calculations rank these updates. For example, if you have a ‘portable dialysis machine’ and three related news articles:
Article #1: New guidelines for the disposal PPEs (cosine similarity to product: 0.2)
Article #2: FDA approves a new portable dialysis machine with improved safety features (cosine similarity: 0.8)
Article #3: Cybersecurity vulnerabilities discovered in connected medical devices (cosine similarity: 0.5)
Text embeddings convert all text into numerical representations in a multi-dimensional vector space. Cosine similarity then calculates the distance between these vectors. The higher the cosine similarity, the greater the relevance of the article to the product.
The Translation Manager uses AI to convert technical documents into over 20 languages. How does the system ensure accuracy and cultural relevance in translations for highly regulated markets, and how does it compare to traditional translation methods in terms of speed and compliance reliability?
AI is truly breaking barriers in this regard. From our internal testing with localized regulatory experts, the accuracy of these AI translations exceeds 80%. Combined with our proprietary MedTech-specific multilingual glossaries, we can push this to over 90%, significantly reducing the time required compared to traditional translation methods.
With AI-driven tools like the Translation Manager and Certification Manager, what kind of feedback have you received from clients about their efficiency gains?
Clients have reported significant efficiency gains through the use of our AI-driven tools. Many have experienced reduced translation costs, particularly for high-volume content, thanks to the automation of previously manual tasks. This has not only cut costs but also accelerated workflows.
Additionally, the consistency and flow of translations have improved. Our multilingual translation terminology management ensures consistent language use across all translated materials, which is critical for maintaining brand identity and clarity in technical documentation. Previously, depending on who performed the translation, the flow could differ slightly. With AI-driven translation, however, the consistency and flow are seamless.
In your opinion, how is big data reshaping the MedTech industry, especially in regulatory compliance and market access?
Some exciting developments in the context of big data are as follows:
Data-Driven Decision Making (Market Intelligence): Big data tools provide comprehensive analytics, enabling companies to make informed decisions about market opportunities, patient behavior, product development, market access, and commercial success.
Post-Market Surveillance: Real-world data monitoring can identify safety issues or areas for improvement, leading to faster, more effective post-market surveillance.
Real-World Evidence (RWE): Analyzing large datasets of real-world data (patient records, clinical trials, device usage) can provide evidence of product safety and effectiveness, supporting regulatory submissions and post-market surveillance. However, much of this information still resides within large hospital systems and research institutions, and accessing it remains a challenge.
Cybersecurity:  With the surge in connected medical devices, wearables, and healthcare IoT devices generating vast amounts of data, the attack surface for cybercriminals continues to expand. Sensitive patient information stored in large datasets becomes a prime target for hackers, potentially leading to data breaches that compromise privacy and safety. Then, many healthcare organizations still rely on outdated systems with insufficient cybersecurity measures, increasing the risk.
How do you envision the intersection of AI, cybersecurity, and MedTech evolving in the future?
There will be more personalized options as AI enables the development of medical devices and treatment plans tailored to individual patient needs. By analyzing patient data, including genomics, lifestyle factors, and medical history, AI can optimize device design and functionality. Additionally, AI can accelerate the design and prototyping of medical devices by generating design options, simulating performance, and optimizing for specific requirements, allowing companies to iterate quickly and bring new products to market faster.
Cybersecurity is becoming increasingly emphasized in the MedTech space. This shift comes as regulators recognize its growing importance and transition from a reactive approach—mainly responding to incidents—to a more proactive approach focused on risk management and prevention. As submission requirements for cybersecurity continue to increase in rigor, companies will need to prioritize cybersecurity throughout the entire product development lifecycle, from design to deployment, to ensure the safety and reliability of their devices.
What do you see as the biggest challenges for medical device manufacturers in the next five years, and how does Pure Global aim to address them?
The biggest challenge is that regulatory agencies worldwide are raising the bar for safety, efficacy, and cybersecurity, making it increasingly difficult to keep up with evolving requirements across multiple markets
How Pure Global can help:
AI-Powered Regulatory Intelligence: Pure Global’s AI platform monitors regulatory changes across 30+ markets, offering real-time updates and personalized alerts for compliance.
Streamlined Submission Workflows: AI helps reduce time and costs for regulatory submissions, making the clearance and approval process more efficient.
Market Intelligence: With a comprehensive database covering regulations, product registrations, and clinical trials across 30+ markets, manufacturers can analyze trends, identify opportunities, and assess competition.
What advice would you give to startups and scaleups in the MedTech space looking to navigate complex regulatory landscapes?
Prioritize Regulatory Strategy Early On:
Integrate from the start: Incorporate regulatory considerations into your product development from day one, rather than treating them as an afterthought.
Proactive planning: Establish a clear regulatory strategy early, outlining target markets, device classification, and necessary approvals.
Expert advice: Consult regulatory experts or experienced consultants to understand the specific requirements for your device and target markets.
Stay Agile and Adaptable:
Expect changes: Regulatory landscapes are constantly evolving, so be ready to adapt your strategy as needed.
Flexibility: Keep flexibility in your product development plans to accommodate potential regulatory changes or market requirements.
Thank you for the great interview, readers who wish to learn more should visit Pure Global.
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atomic-two-sheds · 1 year ago
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Data mining your habits, mostly. Probably has a companion tracking app so that you can "monitor and improve your habits" that also scrapes a ton of data from your device. That's the commercial goal of most smart devices, even if they have actual benefits to some people.
According to a recent report published by the Aargauer Zeitung (h/t Golem.de), around three million smart toothbrushes have been infected by hackers and enslaved into botnets.
The most cyberpunk thing on your dash today.
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proxiware · 7 months ago
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