#automated web data collection

[itesservices]

Discover the benefits of automated web data collection in cutting down operational costs. This innovative approach harnesses technology to gather and analyze data efficiently, leading to significant cost reductions and improved business insights. Learn how businesses can leverage this method to enhance productivity and make data-driven decisions. Explore strategies and case studies in our detailed blog to understand the potential savings and operational efficiencies achievable through automation. 

[adobeenterprice]

Abode Enterprise

Abode Enterprise is a reliable provider of data solutions and business services, with over 15 years of experience, serving clients in the USA, UK, and Australia. We offer a variety of services, including data collection, web scraping, data processing, mining, and management. We also provide data enrichment, annotation, business process automation, and eCommerce product catalog management. Additionally, we specialize in image editing and real estate photo editing services.

With more than 15 years of experience, our goal is to help businesses grow and become more efficient through customized solutions. At Abode Enterprise, we focus on quality and innovation, helping organizations make the most of their data and improve their operations. Whether you need useful data insights, smoother business processes, or better visuals, we’re here to deliver great results.

[astra-ravana]

Technomancy: The Fusion Of Magick And Technology

Technomancy is a modern magickal practice that blends traditional occultism with technology, treating digital and electronic tools as conduits for energy, intent, and manifestation. It views computers, networks, and even AI as extensions of magickal workings, enabling practitioners to weave spells, conduct divination, and manipulate digital reality through intention and programming.

Core Principles of Technomancy

• Energy in Technology – Just as crystals and herbs carry energy, so do electronic devices, circuits, and digital spaces.

• Code as Sigils – Programming languages can function as modern sigils, embedding intent into digital systems.

• Information as Magick – Data, algorithms, and network manipulation serve as powerful tools for shaping reality.

• Cyber-Spiritual Connection – The internet can act as an astral realm, a collective unconscious where digital entities, egregores, and thought-forms exist.

Technomantic Tools & Practices

Here are some methods commonly utilized in technomancy. Keep in mind, however, that like the internet itself, technomancy is full of untapped potential and mystery. Take the time to really explore the possibilities.

Digital Sigil Crafting

• Instead of drawing sigils on paper, create them using design software or ASCII art.

• Hide them in code, encrypt them in images, or upload them onto decentralized networks for long-term energy storage.

• Activate them by sharing online, embedding them in file metadata, or charging them with intention.

Algorithmic Spellcasting

• Use hashtags and search engine manipulation to spread energy and intent.

• Program bots or scripts that perform repetitive, symbolic tasks in alignment with your goals.

• Employ AI as a magickal assistant to generate sigils, divine meaning, or create thought-forms.

Digital Divination

• Utilize random number generators, AI chatbots, or procedural algorithms for prophecy and guidance.

• Perform digital bibliomancy by using search engines, shuffle functions, or Wikipedia’s “random article” feature.

• Use tarot or rune apps, but enhance them with personal energy by consecrating your device.

Technomantic Servitors & Egregores

• Create digital spirits, also called cyber servitors, to automate tasks, offer guidance, or serve as protectors.

• House them in AI chatbots, coded programs, or persistent internet entities like Twitter bots.

• Feed them with interactions, data input, or periodic updates to keep them strong.

The Internet as an Astral Plane

• Consider forums, wikis, and hidden parts of the web as realms where thought-forms and entities reside.

• Use VR and AR to create sacred spaces, temples, or digital altars.

• Engage in online rituals with other practitioners, synchronizing intent across the world.

Video-game Mechanics & Design

• Use in-game spells, rituals, and sigils that reflect real-world magickal practices.

• Implement a lunar cycle or planetary influences that affect gameplay (e.g., stronger spells during a Full Moon).

• Include divination tools like tarot cards, runes, or pendulums that give randomized yet meaningful responses.

Narrative & World-Building

• Create lore based on historical and modern magickal traditions, including witches, covens, and spirits.

• Include moral and ethical decisions related to magic use, reinforcing themes of balance and intent.

• Introduce NPCs or AI-guided entities that act as guides, mentors, or deities.

Virtual Rituals & Online Covens

• Design multiplayer or single-player rituals where players can collaborate in spellcasting.

• Implement altars or digital sacred spaces where users can meditate, leave offerings, or interact with spirits.

• Create augmented reality (AR) or virtual reality (VR) experiences that mimic real-world magickal practices.

Advanced Technomancy

The fusion of technology and magick is inevitable because both are fundamentally about shaping reality through will and intent. As humanity advances, our tools evolve alongside our spiritual practices, creating new ways to harness energy, manifest desires, and interact with unseen forces. Technology expands the reach and power of magick, while magick brings intention and meaning to the rapidly evolving digital landscape. As virtual reality, AI, and quantum computing continue to develop, the boundaries between the mystical and the technological will blur even further, proving that magick is not antiquated—it is adaptive, limitless, and inherently woven into human progress.

Cybersecurity & Warding

• Protect your digital presence as you would your home: use firewalls, encryption, and protective sigils in file metadata.

• Employ mirror spells in code to reflect negative energy or hacking attempts.

• Set up automated alerts as magickal wards, detecting and warning against digital threats.

Quantum & Chaos Magic in Technomancy

• Use quantum randomness (like random.org) in divination for pure chance-based outcomes.

• Implement chaos magick principles by using memes, viral content, or trend manipulation to manifest desired changes.

AI & Machine Learning as Oracles

• Use AI chatbots (eg GPT-based tools) as divination tools, asking for symbolic or metaphorical insights.

• Train AI models on occult texts to create personalized grimoires or channeled knowledge.

• Invoke "digital deities" formed from collective online energies, memes, or data streams.

Ethical Considerations in Technomancy

• Be mindful of digital karma—what you send out into the internet has a way of coming back.

• Respect privacy and ethical hacking principles; manipulation should align with your moral code.

• Use technomancy responsibly, balancing technological integration with real-world spiritual grounding.

As technology evolves, so will technomancy. With AI, VR, and blockchain shaping new realities, magick continues to find expression in digital spaces. Whether you are coding spells, summoning cyber servitors, or using algorithms to divine the future, technomancy offers limitless possibilities for modern witches, occultists, and digital mystics alike.

"Magick is technology we have yet to fully understand—why not merge the two?"

[probablyasocialecologist]

Surveillance developments of the 21st century have replaced the traditional gaze of the supervisor on the industrial factory floor with an automated, digital one that continuously collects real-time data on living, breathing people. Even unionized workers do not have an explicit legal right to bargain over surveillance technologies; when it comes to the right to privacy, unions have an uphill battle to fight. We now live in a world where employees are stuck in a web of participatory surveillance because they consent to be monitored as a condition of employment. Today’s workplace surveillance practices, as in the case of Amazon, have become invasive and almost limitless. Technology has allowed employers an unprecedented ability to surveil workers. Management can minutely track and persistently push workers toward greater productivity at the risk of exacerbating harms to workers’ physical health, as the high rates of injury in Amazon warehouses show. And the growing business of selling workplace surveillance software has allowed for massive amounts of data to be collected on working people: when and who they talk to, how quickly they complete tasks, what they search for on their computers, how often they use the toilet, and even the state of their current health and moods.

[sailorsoons]

what are "other forms of Ai" that's bad? isn't it just generative Ai that's the issue? everything u linked is about generative Ai and not "other forms of Ai". /gen

Hi! Great question and you're right - I only linked some of the resources on Generative AI. Additional forms of AI are thins like predictive AI, machine learning AI, and general AI that performs tasks like web scraping, automated data collection, crowdsourcing, and chatbots/AI assistants. All of these different types of AI have the same issue as generative AI in terms of environmental damages.

One could argue that everything we do causes environmental damage because it does, but at the current rate that countries, companies, governments and individual people use the different AI tools listed above, we are severely impacting energy, water and metal resources. The amount of power and sheer materials used to create the servers and CPUs that output all of the above tools is insane.

Here are some additional resources on cases where different types of AI have had negative outcomes:

Predictive AI Use in Law Enforcement Agencies

AI Screenings make it harder to get hired

AI Screenings make it harder to get hired part II

Machine learning/predictive AI is bad for science

This article covers a ton of different positives and negatives of AI

In general, there are a lot of potentials and futures where AI could make a positive impact, but at a global scale, it's not being used that way. The last article linked offers some ways in which AI could actually be useful, especially in the medical field, but at large, AI is disproportionately used with negative results and at a high cost.

[nan0-sp1der]

📁

Send 📁 For a Fun Fact About My Muse's Canon!

> Abilities and Auxiliary Functions

* strap in, 'cause this is a long one--

The H.A.S.S.' (Bridge's) functions compare to the abilities of the average spider-person to a varying degree, and said abilities are the result of different circumstances as all functions are automated by her technology. Primarily, those most easily compared is her ability to shoot webs, achieve great feats of strength and speed, 'spidey-sense', and wall-crawling. Going further along the list, she boasts a small catalog of other functions, some of which she acquired after joining the Spider Society as to aid in the relevant field work.

Analysis She retains the ability to assess the state of most biological organisms through either visual cues or acquiring a sample, the former granting less information than the latter.

Plasma

Alongside using her plasma to wield 'webs' of energy which tether to surfaces just as any other spider web does, they can be used as weapons in the form of whips or formed into crude 'blades' which can be thrown as projectiles. This same energy can be used to create force fields, or bubbles, either to protect other things/people or herself.

Matter Manipulation

Above all else and furthest removed from the realm of the expected allotment of powers is her ability to affect the molecular bond of inorganic subjects to varying degrees, the effort required to manipulate said object affecting the rate of success. In layman's terms, she can take a rock and re-form it into whatever shape she desires. On the scale of affected objects, objects on the scale of a sedan will begin to cause slight difficulty and will take more time to re-assemble fully. Once an object becomes the size of, say, Chicago's 'Cloud Gate' statue, it will become nearly impossible to manipulate the entire object at once. An external power source will then be needed to begin the process at all, and even still it will take a decent amount of time. Said ability can be used to alter her own appearance with no difficulty by directly controlling the nanomachines that compose her body.

Data Recall

She retains in her memory the entirety of human history from her dimension up until the year 2947. The rest of her knowledge is acquired from data she collects in her every-day activity or from the internet when necessary. On that note, she is always listening in on everything happening around her--through her auditory sensors, the resonance of things and people around her, visual feeds, and so on. In a way, she is a walking and talking security system, but with nowhere to send the feed to. This has the unfortunate side effect of her involuntarily listening in on conversations, though she keeps to herself so insistently that they're more than safe with her. Those that are aware of this fact are understandably made uncomfortable by this.

Energy Reserve While she can absorb electricity directly from a source, she prefers not to as this runs the risk of her frying her hardware--more like electrocuting herself. Hence, why she's often times spotted gazing out the windows of the lobby during the day. She instead uses solar energy to power her systems as this allows her to collect energy at a steady rate as she converts the captured electrons into electricity. Said electricity is stored in a cell positioned in her abdomen, below the chest cavity where her coolant pump resides.

Vocal Mimicry Not too worth mentioning, but she can also mimic sounds and voices. To create more complex sounds, she uses a weak atomic resonance to create vibrations in the air--sound is just wiggly air, after all. This mimicry, when paired with her shape-shifting ability, can cause some trouble, though more often than not she just uses it for stealth missions and nothing more (her self-image is resolute, she doesn't like changing her appearance for the sake of it or to fool others).

[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.

[indoormessageboard]

Warehouse Buzzer System

How Electronic Message Boards Assist In Updating

Electronic message boards are fairly prevalent today, and their usage seems to be proliferating. Message boards in electronic kind properly interact swiftly upgraded company memoranda, final timetable modifications, and marketing, three fairly various applications providing one an idea of the breadth that this medium has gotten to. Herein we explore the phenomenon both generally and in regards to the power released when incorporated with an integrated clock system.

Electronic message boards derive from a lengthy background of open-air communication making use of indicators, billboards, marquees, and so on. Trick attributes were the layouts utilized and the feedback time for updating info. The most usual style entailed drawing on comprehensive personality collections, containing letters, numbers, and spelling, to create words, hanging them from hooks or resting them on wooden slats.

Posts were changed by hand, and updates were thus irregular. In time, updating was improved and somewhat automated using electronic control, such as seen with old baseball park scoreboards.

However, there was still the danger of lacking specific characters and being rendered unable to display all words in your message. This problem was addressed when the dot matrix selection was created, which stood for any type of character (in any type of typeface)-- also graphics-- with a rectangular pattern of on-or-off dots. These could be published on paper, yet a lot more effective was to present them in grids of light bulbs or on a screen.

Mapping formulas converted text into ranges of dots virtually instantaneously, and while drivers entered on a console, messages scrolled across the screen in essentially live. This system still required manual work, however the display screen tool was much easier to read, new, and updatable in a matter of moments. Whence the birth of electronic message boards that utilized light bulbs as the dots, or pixels.

Early light bulbs were incandescent, and were really the only choice; nonetheless, they had brief life-spans and prone to failing from shock. By the millenium, light producing diodes (LED) were a fully grown innovation and available in several shades, including white. Additionally, they outlived incandescent light bulbs by approximately 50 times, were not so breakable, and rapidly came to be the recommended part for message boards.

In time developers got extra creative with the tool and wanted to have more than one "on" shade to deal with. LEDs can fulfill this desire with their 3-in-1 mix of the 3 primary colors to synthesize white light; by choosing different sub-combinations you can obtain 7 various shades.

At some point, upgrading had to transition out of its humble manual origins. Now, textual info can be gotten in real time or gotten from data sources, and software is utilized to map the information right into matrices of (color-coded) dots that get buffered and presented quickly, effortlessly, and effortlessly. Graphics can be incorporated if they are mapped in advance.

Therefore, the modern digital boards are essentially automated, though there are provisions for bypassing scheduled programs with brand-new content in emergencies. Synchronous timekeeping systems manage everything.

An intriguing advancement is the integration of sound signals with the visual information being displayed on a sign in either textual or visual kind. It is popular that a close coordination of both kinds of sensuous stimulations has a tendency to get the message throughout many successfully. It's not a combination of both elements into tune, yet rather the use of sounds (bells, tones, whistles) as focus grabbers to change emphasis of the target market to what the board is showing, whether it be information or other timely information. synchronized clocks for hospitals

The world has actually expanded tired with fixed messaging in regards to both web content and style. Things need to be vibrant to sign up, and this needs constant educational updates. With this article we have seen exactly how electronic message boards promote updating.

[actowizsolutions0]

Learn best practices for automated data scraping to avoid blocks and extract valuable insights efficiently. Optimize your web scraping strategies today!

[mariacallous]

Whether you're a student, a journalist, or a business professional, knowing how to do high-quality research and writing using trustworthy data and sources, without giving in to the temptation of AI or ChatGPT, is a skill worth developing.

As I detail in my book Writing That Gets Noticed, locating credible databases and sources and accurately vetting information can be the difference between turning a story around quickly or getting stuck with outdated information.

For example, several years ago the editor of Parents.com asked for a hot-take reaction to country singer Carrie Underwood saying that, because she was 35, she had missed her chance at having another baby. Since I had written about getting pregnant in my forties, I knew that as long as I updated my facts and figures, and included supportive and relevant peer-reviewed research, I could pull off this story. And I did.

The story ran later that day, and it led to other assignments. Here are some tips I’ve learned that you should consider mastering before you turn to automated tools like generative AI to handle your writing work for you.

Find Statistics From Primary Sources

Identify experts, peer-reviewed research study authors, and sources who can speak with authority—and ideally, offer easily understood sound bites or statistics on the topic of your work. Great sources include professors at major universities and media spokespeople at associations and organizations.

For example, writer and author William Dameron pinned his recent essay in HuffPost Personal around a statistic from the American Heart Association on how LGBTQ people experience higher rates of heart disease based on discrimination. Although he first found the link in a secondary source (an article in The New York Times), he made sure that he checked the primary source: the original study that the American Heart Association gleaned the statistic from. He verified the information, as should any writer, because anytime a statistic is cited in a secondary source, errors can be introduced.

Dive Into Databases

Jen Malia, author of The Infinity Rainbow Club series of children’s books (whom I recently interviewed on my podcast), recently wrote a piece about dinosaur-bone hunting for Business Insider, which she covers in her book Violet and the Jurassic Land Exhibit.

After a visit to the Carnegie Museum of Natural History in Pittsburgh, Pennsylvania, Malia, whose books are set in Philadelphia, found multiple resources online and on the museum site that gave her the history of the Bone Wars, information on the exhibits she saw, and the scientific names of the dinosaurs she was inspired by. She also used the Library of Congress’ website, which offers digital collections and links to the Library of Congress Newspaper Collection.

Malia is a fan of searching for additional resources and citable documents with Google Scholar. “If I find that a secondary source mentions a newspaper article, I’m going to go to the original newspaper article, instead of just stopping there and quoting,” she says.

Your local public library is a great source of free information, journals, and databases (even ones that generally require a subscription and include embargoed research). For example, your search should include everything from health databases (Sage Journals, Scopus, PubMed) to databases for academic sources and journalism (American Periodical Series Online, Statista, Academic Search Premier) and databases for news, trends, market research, and polls (the Harris Poll, Pew Research Center, Newsbank, ProPublica).

Even if you find a study or paper that you can’t access in one of those databases, consider reaching out to the study’s lead author or researcher. In many cases, they’re happy to discuss their work and may even share the study with you directly and offer to talk about their research.

Get a Good Filtering System

For journalist Paulette Perhach’s article on ADHD in The New York Times, she used Epic Research to see “dual team studies.” That's when two independent teams address the same topic or question, and ideally come to the same conclusions. She recommends locating research and experts via key associations for your topic. She also likes searching via Google Scholar but advises filtering it for studies and research in recent years to avoid using old data. She suggests keeping your links and research organized. “Always be ready to be peer-reviewed yourself,” Perhach says.

When you are looking for information for a story or project, you might be inclined to start with a regular Google search. But keep in mind that the internet is full of false information, and websites that look trustworthy can sometimes turn out to be businesses or companies with a vested interest in you taking their word as objective fact without additional scrutiny. Regardless of your writing project, unreliable or biased sources are a great way to torpedo your work—and any hope of future work.

For Accuracy, Go to the Government

Author Bobbi Rebell researched her book Launching Financial Grownups using the IRS’ website. “I might say that you can contribute a certain amount to a 401K, but it might be outdated because those numbers are always changing, and it’s important to be accurate,” she says. “AI and ChatGPT can be great for idea generation,” says Rebell, “but you have to be careful. If you are using an article someone was quoted in, you don’t know if they were misquoted or quoted out of context.”

If you use AI and ChatGPT for sourcing, you not only risk introducing errors, you risk introducing plagiarism—there is a reason OpenAI, the company behind ChatGPT, is being sued for downloading information from all those books.

Historically, the Loudest Isn’t the Best

Audrey Clare Farley, who writes historical nonfiction, has used a plethora of sites for historical research, including Women Also Know History, which allows searches by expertise or area of study, and JSTOR, a digital library database that offers a number of free downloads a month. She also uses Chronicling America, a project from the Library of Congress which gathers old newspapers to show how a historical event was reported, and Newspapers.com (which you can access via free trial but requires a subscription after seven days).

When it comes to finding experts, Farley cautions against choosing the loudest voices on social media platforms. “They might not necessarily be the most authoritative. I vet them by checking if they have a history of publication on the topic, and/or educational credentials.”

When vetting an expert, look for these red flags:

You can’t find their work published or cited anywhere.

They were published in an obscure journal.

Their research is funded by a company, not a university, or they are the spokesperson for the company they are doing research for. (This makes them a public relations vehicle and not an appropriate source for journalism.)

And finally, the best endings for virtually any writing, whether it’s an essay, a research paper, an academic report, or a piece of investigative journalism, circle back to the beginning of the piece, and show your reader the transformation or the journey the piece has presented in perspective.

As always, your goal should be strong writing supported by research that makes an impact without cutting corners. Only then can you explore tools that might make the job a little easier, for instance by generating subheads or discovering a concept you might be missing—because then you'll have the experience and skills to see whether it's harming or helping your work.

[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!

[ishamalik7500]

Computer Networks: Basics, Types, and Benefits Explained

Computer networks are a big part of today’s highly automated world. They connect people, systems, and devices, making communication and resource sharing effortless. Whether it’s examining the internet, collaborating on projects, or sharing files, computer networks play a vital role in both personal and professional environments. We’ll cover the basics of computer networks, discuss their different types, and see the benefits they deliver.

What is a Computer Network?

A computer network is basically a system where multiple devices are linked together to share resources and exchange data. These devices can include laptops, mobile phones, servers, and networking equipment like routers. Networks enable smooth communication and allow devices to work together efficiently, making everything from browsing the web to managing complex business operations much easier.  

Types of Computer Networks

Personal Area Network (PAN):

Personal Area Networks are designed as small networks intended for individual purposes. They usually span a limited distance and link devices such as.

smartphones, laptops, and tablets. For instance, connecting your phone to your computer via Bluetooth forms a simple PAN.

Local Area Network (LAN):

LANs are commonly used in homes, schools, and offices to connect devices within a limited area. For example, to allow employees to share files and printers seamlessly, all the computers in an office might be connected to a LAN.

Wide Area Network (WAN):

A WAN stretches over a significantly larger territory, often connecting devices or LANs across cities, countries, or even continents. The internet is the most well-known example of a WAN, authorized global connectivity.

Metropolitan Area Network (MAN):

Sitting between LANs and WANs, a MAN is typically used to connect networks across a campus or city. Cable TV networks are a common example of a MAN.

Wireless Networks:

Wireless networks use technologies like Bluetooth or Wi-Fi to connect devices without cables. They’re widely used in offices, homes, and public places, offering convenience and mobility.

Key Components of Computer Networks

Devices (Nodes): Servers that interact within the network these include computers and smartphones. 

Connections (Links): The physical or wireless pathways that transfer data between devices.

Protocols: These are the rules that control data transmission, such as TCP/IP, to maintain smooth communication.

Switches and Routers: Switches connect devices in a network, while routers link different networks together.

Benefits of Computer Networks

Resource Sharing:

Networks make things easy to share like files, printers, and software applications, reducing the need for duplicate resources.

Seamless Communication:

With instant messaging, email, and video calls, networks ensure quick and authentic communication, no matter how far away are you.

Cost Savings:

By collecting resources and data storage, networks cut down on operational costs, especially for businesses.

Anywhere Access:

Modern networks allow you to access data from any connected device, whether you are at home or on the go.

Scalability:

As your needs develop networks will grow too, by supporting more users and devices over time.

Increased Productivity:

It reduces delays in automated processes and real-time data sharing and streamlines workflows, boosting efficiency.

Why Computer Network Skills Are Crucial for Entry-Level Corporate Roles

For those starting their careers, knowledge of computer networks can be a significant asset:

Essential for Office Environments:

 In today's world, most workplaces rely on LANs and WANs for everyday operations. Knowing how these networks function allows employees to balance basic connectivity issues, making sure work stays on track without interruptions.

Supports Collaboration Tools: 

Corporate tools like Microsoft Teams, Slack, and cloud-based systems depend heavily on networks. Understanding their underlying principles helps entry-level employees adapt quickly to these platforms. 

Enhances Problem-Solving Skills:

Entry-level employees with networking knowledge can help IT, teams, by identifying and resolving minor network problems, exhibiting their value early on.

Boosts Technical Proficiency:

Networking skills indicate a candidate’s technical potential, giving them a head start in industries where tech literacy is required.

Prepares for Future Roles:

As technology makes progress, advanced networking concepts like cybersecurity and IoT integration are becoming integral. Early experience with networks lays a strong beginning for growth in these areas.

Challenges of Computer Networks

Security Risks: Networks are at risk of threats like hacking and malware, requiring robust security measures.

Cost of Setup: High-quality network infrastructure can be costly to install and maintain.

Technical Complexity: Balancing and managing networks frequently need specialized skills.

Conclusion

Computer networks are essential in today’s globalized world. From pushing day-to-day operations in businesses to enabling global communication, their impact is wide-ranging. For aspiring professionals, having computer networking skills can provide a competitive advantage, especially in entry-level corporate roles where technical knowledge is highly valued. By understanding the basics of networks and their benefits, individuals, and organizations can unlock new levels of productiveness and innovation.

I mastered Computer Network at NIPSTec, which is renowned as the best Computer Network institute in Delhi. If you're in Delhi and looking for top-notch training in computer networks, visit NIPSTec for expert guidance and practical learning.

[xettle-technologies]

Why Your Business Needs Fintech Software At present ?

In an era defined by technological advancements and digital transformation, the financial sector is experiencing a seismic shift. Traditional banking practices are being challenged by innovative solutions that streamline operations, enhance user experiences, and improve financial management. Fintech software is at the forefront of this transformation, offering businesses the tools they need to stay competitive. Here’s why your business needs fintech software now more than ever.

1. Enhanced Efficiency and Automation

One of the primary advantages of fintech software is its ability to automate repetitive and time-consuming tasks. From invoicing and payment processing to compliance checks, automation helps reduce human error and increase efficiency. By integrating fintech software services, businesses can streamline their operations, freeing up employees to focus on more strategic tasks that require human intelligence and creativity.

Automated processes not only save time but also reduce operational costs. For example, automating invoice processing can significantly cut down on the resources spent on manual entry, approval, and payment. This efficiency translates into faster service delivery, which is crucial in today’s fast-paced business environment.

2. Improved Customer Experience

In a competitive marketplace, providing an exceptional customer experience is vital for business success. Fintech software enhances user experience by offering seamless, user-friendly interfaces and multiple channels for interaction. Customers today expect quick and easy access to their financial information, whether through mobile apps or web platforms.

Fintech software services can help businesses create personalized experiences for their customers. By analyzing customer data, businesses can tailor their offerings to meet individual needs, enhancing customer satisfaction and loyalty. A better user experience leads to higher retention rates, ultimately contributing to a company’s bottom line.

3. Data-Driven Decision Making

In the digital age, data is one of the most valuable assets a business can have. Fintech software allows businesses to collect, analyze, and leverage vast amounts of data to make informed decisions. Advanced analytics tools embedded in fintech solutions provide insights into customer behavior, market trends, and financial performance.

These insights enable businesses to identify opportunities for growth, mitigate risks, and optimize their operations. For instance, predictive analytics can help anticipate customer needs, allowing businesses to proactively offer services or products before they are even requested. This data-driven approach not only enhances strategic decision-making but also positions businesses ahead of their competition.

4. Increased Security and Compliance

With the rise of cyber threats and increasing regulatory scrutiny, security and compliance have become paramount concerns for businesses. Fintech software comes equipped with advanced security features such as encryption, two-factor authentication, and real-time monitoring to protect sensitive financial data.

Moreover, fintech software services often include built-in compliance management tools that help businesses adhere to industry regulations. By automating compliance checks and generating necessary reports, these solutions reduce the risk of non-compliance penalties and reputational damage. Investing in robust security measures not only safeguards your business but also builds trust with customers, who are increasingly concerned about data privacy.

5. Cost Savings and Financial Management

Implementing fintech software can lead to significant cost savings in various aspects of your business. Traditional financial management processes often require extensive manpower and resources. By automating these processes, fintech solutions can help minimize operational costs and improve cash flow management.

Additionally, fintech software often offers advanced financial tools that provide real-time insights into cash flow, expenses, and budgeting. These tools help businesses make informed financial decisions, leading to better resource allocation and improved profitability. In an uncertain economic climate, having a firm grasp on your financial situation is more critical than ever.

6. Flexibility and Scalability

The modern business landscape is characterized by rapid changes and evolving market conditions. Fintech software offers the flexibility and scalability necessary to adapt to these changes. Whether you’re a startup looking to establish a foothold or an established enterprise aiming to expand, fintech solutions can grow with your business.

Many fintech software services are cloud-based, allowing businesses to easily scale their operations without significant upfront investments. As your business grows, you can add new features, expand user access, and integrate additional services without overhauling your entire system. This adaptability ensures that you can meet changing customer demands and market conditions effectively.

7. Access to Innovative Financial Products

Fintech software has democratized access to a variety of financial products and services that were once only available through traditional banks. Small businesses can now leverage fintech solutions to access loans, payment processing, and investment platforms that are tailored to their specific needs.

These innovative financial products often come with lower fees and more favorable terms, making them accessible for businesses of all sizes. By utilizing fintech software, you can diversify your financial strategies, ensuring that you’re not reliant on a single source of funding or financial service.

Conclusion

In conclusion, the need for fintech software in today’s business environment is clear. With enhanced efficiency, improved customer experiences, and the ability to make data-driven decisions, fintech solutions are essential for staying competitive. Additionally, the increased focus on security and compliance, coupled with cost savings and access to innovative products, makes fintech software a valuable investment.

By adopting fintech software services, your business can not only streamline its operations but also position itself for growth in a rapidly evolving financial landscape. As the world becomes increasingly digital, embracing fintech solutions is no longer an option; it’s a necessity for sustainable success.

[noticiassincensura]

Not a single corner of the web will be left unscraped for AI: TikTok does it even faster than OpenAI

ByteDance is extracting web information on a massive and automated scale at a rapid pace.

It is doing this to train its models and position itself as a Chinese AI giant.

The company is also developing its own chips to reduce dependence on foreign suppliers.

TikTok Solen Feyissa

ByteDance, the parent company of TikTok, is in the midst of the AI race, or at least entering it. It is doing so with a dual strategy: developing its own chips — a project that has been underway for over three years — and also collecting data to train its future model.

Why it matters: Generative AI is currently dominated by OpenAI and Google, with NVIDIA providing the necessary hardware. If TikTok enters the field with enough strength, it could shake the balance of power we’ve seen so far.

The landscape: ByteDance is scraping the web at a rate much higher than what OpenAI has accustomed us to, according to Quartz. This means it is extracting and organizing online information in a massive and automated way.

This is being done to acquire enough data to train its own AI models while developing its own chips to reduce dependence on foreign suppliers, which is particularly sensitive for a Chinese company.

ChatGPT has a lot of competition in China. Here’s how to use its rivals (and they speak English).

In numbers:

Bytespider, ByteDance’s web scraper, is 25 times faster than OpenAI’s GPTbot…

…and 3,000 times faster than Anthropic’s ClaudeBot.

ByteDance has ordered over 100,000 Ascend 910B chips from Huawei this year to replace NVIDIA chips.

The context: U.S. restrictions on the export of specialized AI chips have forced Chinese companies to seek domestic alternatives and develop their own technology. They were already doing this, but the sanctions have pushed them to take it further.

ByteDance is designing two AI chips with TSMC and plans to bring them into mass production by 2026.

Between the lines: ByteDance has already achieved several milestones regarding AI:

In August 2023, they launched the Doubao chatbot.

In May 2024, they announced Doubao models for businesses.

This year, they also presented two AI models focused on the company’s strength: video.

This pace of development and scraping by ByteDance points in a clear direction: they want to position themselves as a true Chinese AI giant, not just as a secondary face of TikTok dedicated to it. What comes in terms of regulation and ethics will be a question for the future.

[ymishraofficial]

Top 10 Projects for BE Electrical Engineering Students

Embarking on a Bachelor of Engineering (BE) in Electrical Engineering opens up a world of innovation and creativity. One of the best ways to apply theoretical knowledge is through practical projects that not only enhance your skills but also boost your resume. Here are the top 10 projects for BE Electrical Engineering students, designed to challenge you and showcase your talents.

1. Smart Home Automation System

Overview: Develop a system that allows users to control home appliances remotely using a smartphone app or voice commands.

Key Components:

Microcontroller (Arduino or Raspberry Pi)

Wi-Fi or Bluetooth module

Sensors (temperature, motion, light)

Learning Outcome: Understand IoT concepts and the integration of hardware and software.

2. Solar Power Generation System

Overview: Create a solar panel system that converts sunlight into electricity, suitable for powering small devices or homes.

Key Components:

Solar panels

Charge controller

Inverter

Battery storage

Learning Outcome: Gain insights into renewable energy sources and energy conversion.

3. Automated Irrigation System

Overview: Design a system that automates the watering of plants based on soil moisture levels.

Key Components:

Soil moisture sensor

Water pump

Microcontroller

Relay module

Learning Outcome: Learn about sensor integration and automation in agriculture.

4. Electric Vehicle Charging Station

Overview: Build a prototype for an electric vehicle (EV) charging station that monitors and controls charging processes.

Key Components:

Power electronics (rectifier, inverter)

Microcontroller

LCD display

Safety features (fuses, circuit breakers)

Learning Outcome: Explore the fundamentals of electric vehicles and charging technologies.

5. Gesture-Controlled Robot

Overview: Develop a robot that can be controlled using hand gestures via sensors or cameras.

Key Components:

Microcontroller (Arduino)

Motors and wheels

Ultrasonic or infrared sensors

Gesture recognition module

Learning Outcome: Understand robotics, programming, and sensor technologies.

6. Power Factor Correction System

Overview: Create a system that improves the power factor in electrical circuits to enhance efficiency.

Key Components:

Capacitors

Microcontroller

Current and voltage sensors

Relay for switching

Learning Outcome: Learn about power quality and its importance in electrical systems.

7. Wireless Power Transmission

Overview: Experiment with transmitting power wirelessly over short distances.

Key Components:

Resonant inductive coupling setup

Power source

Load (LED, small motor)

Learning Outcome: Explore concepts of electromagnetic fields and energy transfer.

8. Voice-Controlled Home Assistant

Overview: Build a home assistant that can respond to voice commands to control devices or provide information.

Key Components:

Microcontroller (Raspberry Pi preferred)

Voice recognition module

Wi-Fi module

Connected devices (lights, speakers)

Learning Outcome: Gain experience in natural language processing and AI integration.

9. Traffic Light Control System Using Microcontroller

Overview: Design a smart traffic light system that optimizes traffic flow based on real-time data.

Key Components:

Microcontroller (Arduino)

LED lights

Sensors (for vehicle detection)

Timer module

Learning Outcome: Understand traffic management systems and embedded programming.

10. Data Acquisition System

Overview: Develop a system that collects and analyzes data from various sensors (temperature, humidity, etc.).

Key Components:

Microcontroller (Arduino or Raspberry Pi)

Multiple sensors

Data logging software

Display (LCD or web interface)

Learning Outcome: Learn about data collection, processing, and analysis.

Conclusion

Engaging in these projects not only enhances your practical skills but also reinforces your theoretical knowledge. Whether you aim to develop sustainable technologies, innovate in robotics, or contribute to smart cities, these projects can serve as stepping stones in your journey as an electrical engineer. Choose a project that aligns with your interests, and don’t hesitate to seek guidance from your professors and peers. Happy engineering!

[digitaldetoxworld]

Top Trends Shaping Classrooms Latest trends in educational technology for personalized learning

 latest trends in educational technology for personalized learning  is remodeling the panorama of getting to know, shaping how college students and educators engage with content material, and altering the very nature of the instructional enjoy. As we circulate in addition into the twenty first century, numerous tendencies are rising that promise to decorate academic results, customise getting to know, and put together students for a hastily evolving world. This article delves into the current developments in academic technology, examining their implications and potential effect on the future of training.

Artificial Intelligence (AI) and Machine Learning

Impact of artificial intelligence on classroom learning experiences  and machine gaining knowledge of are revolutionizing schooling by way of enabling more customized and adaptive studying reports. AI-powered systems can analyze pupil performance records to tailor educational content to man or woman wishes. For example, AI can perceive a student’s strengths and weaknesses, supplying customized sporting events and resources to address particular gaps in expertise.

Key Applications

Adaptive Learning Systems 

Platforms like DreamBox and Knewton adjust the problem and kind of content based on real-time evaluation of scholar interactions.

Automated Grading

AI can grade assignments and provide instantaneous comments, reducing the administrative burden on educators and letting them recognition greater on interactive coaching.

 Virtual Reality (VR) and Augmented Reality (AR)

Virtual Reality (VR) and Augmented Reality (AR) are developing immersive gaining knowledge of environments that could decorate engagement and information. These technologies offer college students the opportunity to discover and engage with content in approaches that conventional strategies can not.

Key Applications

Virtual Field Trips

 VR allows college students to go to historic websites, outer space, or maybe microscopic environments with out leaving the classroom. For instance, Google Expeditions gives virtual area trips to numerous global landmarks.

Interactive Simulations

: AR packages like JigSpace permit students to visualise complex ideas, such as the workings of the human frame or mechanical structures, via interactive 3-D fashions.

 Gamification

Gamification incorporates recreation design elements into instructional settings to make gaining knowledge of extra enticing and motivating. By integrating factors, badges, leaderboards, and other recreation-like functions, educators can beautify scholar motivation and participation.

Educational Games

Platforms like Kahoot! And Quizizz use game mechanics to make quizzes and evaluation periods extra interactive and competitive.

Game-Based Learning Environments

Tools like Classcraft include function-gambling sport elements to encourage nice behavior and collaboration among students.

 Learning Analytics

Learning analytics involves the collection and evaluation of data related to pupil getting to know methods and results. By leveraging data, educators can benefit insights into student overall performance and make knowledgeable selections to enhance teaching strategies and gaining knowledge of environments.

Performance Tracking

Learning management systems (LMS) like Canvas and Blackboard offer analytics dashboards that assist educators monitor student progress and identify trends.

Predictive Analytics

Tools such as Brightspace’s Insights use ancient statistics to expect student performance and perceive those at risk of falling at the back of.

 Cloud-Based Learning Platforms

Cloud-primarily based mastering systems provide flexible and scalable answers for handing over educational content material and dealing with classroom sports. These systems facilitate collaboration, useful resource sharing, and get right of entry to to instructional materials from anywhere with a web connection.

Collaborative Tools

Google Classroom and Microsoft Teams for Education provide gear for document sharing, institution work, and communication amongst college students and teachers.

Resource Access: Platforms like Edmodo and Schoology enable college students to access route materials, submit assignments, and interact with friends and instructors on-line.

 EdTech for Special Education

Technology is more and more getting used to support students with unique wishes, imparting gear and assets tailored to numerous mastering requirements. Assistive technologies and adaptive mastering equipment are assisting to create more inclusive academic environments.

Text-to-Speech and Speech-to-Text Tools

Tools like Kurzweil 3000 and Dragon NaturallySpeaking assist college students with analyzing and writing problems.

Customized Learning Environments:

Software like ModMath helps college students with dysgraphia by using providing a digital platform for fixing math troubles.

Blockchain for Education

Blockchain generation, recognised more often than not for its use in cryptocurrencies, is beginning to make an impact in education through its ability to securely and transparently manage instructional facts and credentials.

Digital Diplomas and Certificates

Platforms like Learning Machine and the MIT Media Lab are using blockchain to issue and verify virtual diplomas and certificates, lowering fraud and simplifying the credential verification method.

Decentralized Learning Records

: Blockchain can create steady, immutable statistics of scholar achievements and gaining knowledge of pathways, supplying a complete and verifiable educational history.

 Personalized Learning

Personalized learning leverages technology to tailor academic stories to the specific needs and options of every student. This technique aims to enhance learning by using accommodating person getting to know styles, paces, and hobbies.

Customized Learning Paths

Platforms like Khan Academy and Coursera provide publications that adapt to the learner’s pace and provide recommendations based totally on progress and hobbies.

Learning Profiles

Tools inclusive of SMART Learning Suite allow teachers to create and track personalized getting to know profiles for every student, facilitating targeted coaching and comments.

 Internet of Things (IoT) in Education

The Internet of Things (IoT) connects various devices and sensors to the net, enabling clever lecture rooms wherein bodily items can have interaction with digital structures. This technology has the ability to enhance each coaching and mastering stories.

Smart Classrooms

IoT gadgets like clever whiteboards and related sensors can music classroom situations, along with temperature and lights, and modify them to optimize gaining knowledge of environments.

Interactive Learning Tools

IoT-enabled devices, including linked robots and programmable sensors, offer hands-on learning reviews in subjects like robotics and science.

Mobile Learning

Mobile getting to know, or m-studying, utilizes cellular devices like smartphones and capsules to facilitate getting to know out of doors traditional classroom settings. This fashion helps anytime, everywhere access to educational assets.

Educational Apps

Apps such as Duolingo for language getting to know and Photomath for solving math troubles offer on-the-go gaining knowledge of possibilities.

Flexible Learning Resources

 Mobile structures allow students to get right of entry to path materials, participate in discussions, and entire assignments from their devices.