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catchexperts · 2 months ago

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Web Scraping 101: Everything You Need to Know in 2025

🕸️ What Is Web Scraping? An Introduction

Web scraping—also referred to as web data extraction—is the process of collecting structured information from websites using automated scripts or tools. Initially driven by simple scripts, it has now evolved into a core component of modern data strategies for competitive research, price monitoring, SEO, market intelligence, and more.

If you’re wondering “What is the introduction of web scraping?” — it’s this: the ability to turn unstructured web content into organized datasets businesses can use to make smarter, faster decisions.

💡 What Is Web Scraping Used For?

Businesses and developers alike use web scraping to:

Monitor competitors’ pricing and SEO rankings

Extract leads from directories or online marketplaces

Track product listings, reviews, and inventory

Aggregate news, blogs, and social content for trend analysis

Fuel AI models with large datasets from the open web

Whether it’s web scraping using Python, browser-based tools, or cloud APIs, the use cases are growing fast across marketing, research, and automation.

🔍 Examples of Web Scraping in Action

What is an example of web scraping?

A real estate firm scrapes listing data (price, location, features) from property websites to build a market dashboard.

An eCommerce brand scrapes competitor prices daily to adjust its own pricing in real time.

A SaaS company uses BeautifulSoup in Python to extract product reviews and social proof for sentiment analysis.

For many, web scraping is the first step in automating decision-making and building data pipelines for BI platforms.

⚖️ Is Web Scraping Legal?

Yes—if done ethically and responsibly. While scraping public data is legal in many jurisdictions, scraping private, gated, or copyrighted content can lead to violations.

To stay compliant:

Respect robots.txt rules

Avoid scraping personal or sensitive data

Prefer API access where possible

Follow website terms of service

If you’re wondering “Is web scraping legal?”—the answer lies in how you scrape and what you scrape.

🧠 Web Scraping with Python: Tools & Libraries

What is web scraping in Python? Python is the most popular language for scraping because of its ease of use and strong ecosystem.

Popular Python libraries for web scraping include:

BeautifulSoup – simple and effective for HTML parsing

Requests – handles HTTP requests

Selenium – ideal for dynamic JavaScript-heavy pages

Scrapy – robust framework for large-scale scraping projects

Puppeteer (via Node.js) – for advanced browser emulation

These tools are often used in tutorials like “Web scraping using Python BeautifulSoup” or “Python web scraping library for beginners.”

⚙️ DIY vs. Managed Web Scraping

You can choose between:

DIY scraping: Full control, requires dev resources

Managed scraping: Outsourced to experts, ideal for scale or non-technical teams

Use managed scraping services for large-scale needs, or build Python-based scrapers for targeted projects using frameworks and libraries mentioned above.

🚧 Challenges in Web Scraping (and How to Overcome Them)

Modern websites often include:

JavaScript rendering

CAPTCHA protection

Rate limiting and dynamic loading

To solve this:

Use rotating proxies

Implement headless browsers like Selenium

Leverage AI-powered scraping for content variation and structure detection

Deploy scrapers on cloud platforms using containers (e.g., Docker + AWS)

🔐 Ethical and Legal Best Practices

Scraping must balance business innovation with user privacy and legal integrity. Ethical scraping includes:

Minimal server load

Clear attribution

Honoring opt-out mechanisms

This ensures long-term scalability and compliance for enterprise-grade web scraping systems.

🔮 The Future of Web Scraping

As demand for real-time analytics and AI training data grows, scraping is becoming:

Smarter (AI-enhanced)

Faster (real-time extraction)

Scalable (cloud-native deployments)

From developers using BeautifulSoup or Scrapy, to businesses leveraging API-fed dashboards, web scraping is central to turning online information into strategic insights.

📘 Summary: Web Scraping 101 in 2025

Web scraping in 2025 is the automated collection of website data, widely used for SEO monitoring, price tracking, lead generation, and competitive research. It relies on powerful tools like BeautifulSoup, Selenium, and Scrapy, especially within Python environments. While scraping publicly available data is generally legal, it's crucial to follow website terms of service and ethical guidelines to avoid compliance issues. Despite challenges like dynamic content and anti-scraping defenses, the use of AI and cloud-based infrastructure is making web scraping smarter, faster, and more scalable than ever—transforming it into a cornerstone of modern data strategies.

🔗 Want to Build or Scale Your AI-Powered Scraping Strategy?

Whether you're exploring AI-driven tools, training models on web data, or integrating smart automation into your data workflows—AI is transforming how web scraping works at scale.

👉 Find AI Agencies specialized in intelligent web scraping on Catch Experts,

📲 Stay connected for the latest in AI, data automation, and scraping innovation:

💼 LinkedIn

🐦 Twitter

📸 Instagram

👍 Facebook

▶️ YouTube

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mostlysignssomeportents · 2 years ago

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The enshittification of garage-door openers reveals a vast and deadly rot

I'll be at the Studio City branch of the LA Public Library on Monday, November 13 at 1830hPT to launch my new novel, The Lost Cause. There'll be a reading, a talk, a surprise guest (!!) and a signing, with books on sale. Tell your friends! Come on down!

How could this happen? Owners of Chamberlain MyQ automatic garage door openers just woke up to discover that the company had confiscated valuable features overnight, and that there was nothing they could do about it.

Oh, we know what happened, technically speaking. Chamberlain shut off the API for its garage-door openers, which breaks their integration with home automation systems like Home Assistant. The company even announced that it was doing this, calling the integration an "unauthorized usage" of its products, though the "unauthorized" parties in this case are the people who own Chamberlain products:

https://chamberlaingroup.com/press/a-message-about-our-decision-to-prevent-unauthorized-usage-of-myq

We even know why Chamberlain did this. As Ars Technica's Ron Amadeo points out, shutting off the API is a way for Chamberlain to force its customers to use its ad-beshitted, worst-of-breed app, so that it can make a few pennies by nonconsensually monetizing its customers' eyeballs:

https://arstechnica.com/gadgets/2023/11/chamberlain-blocks-smart-garage-door-opener-from-working-with-smart-homes/

But how did this happen? How did a giant company like Chamberlain come to this enshittening juncture, in which it felt empowered to sabotage the products it had already sold to its customers? How can this be legal? How can it be good for business? How can the people who made this decision even look themselves in the mirror?

To answer these questions, we must first consider the forces that discipline companies, acting against the impulse to enshittify their products and services. There are four constraints on corporate conduct:

I. Competition. The fear of losing your business to a rival can stay even the most sociopathic corporate executive's hand.

II. Regulation. The fear of being fined, criminally sanctioned, or banned from doing business can check the greediest of leaders.

III. Capability. Corporate executives can dream up all kinds of awful ways to shift value from your side of the ledger to their own, but they can only do the things that are technically feasible.

IV. Self-help. The possibility of customers modifying, reconfiguring or altering their products to restore lost functionality or neutralize antifeatures carries an implied threat to vendors. If a printer company's anti-generic-ink measures drives a customer to jailbreak their printers, the original manufacturer's connection to that customer is permanently severed, as the customer creates a durable digital connection to a rival.

When companies act in obnoxious, dishonest, shitty ways, they aren't merely yielding to temptation – they are evading these disciplining forces. Thus, the Great Enshittening we are living through doesn't reflect an increase in the wickedness of corporate leadership. Rather, it represents a moment in which each of these disciplining factors have been gutted by specific policies.

This is good news, actually. We used to put down rat poison and we didn't have a rat problem. Then we stopped putting down rat poison and rats are eating us alive. That's not a nice feeling, but at least we know at least one way of addressing it – we can start putting down poison again. That is, we can start enforcing the rules that we stopped enforcing, in living memory. Having a terrible problem is no fun, but the best kind of terrible problem to have is one that you know a solution to.

As it happens, Chamberlain is a neat microcosm for all the bad policy choices that created the Era of Enshittification. Let's go through them:

Competition: Chamberlain doesn't have to worry about competition, because it is owned by a private equity fund that "rolled up" all of Chamberlain's major competitors into a single, giant firm. Most garage-door opener brands are actually Chamberlain, including "LiftMaster, Chamberlain, Merlin, and Grifco":

https://www.lakewoodgaragedoor.biz/blog/the-history-of-garage-door-openers

This is a pretty typical PE rollup, and it exploits a bug in US competition law called "Antitrust's Twilight Zone":

https://pluralistic.net/2022/12/16/schumpeterian-terrorism/#deliberately-broken

When companies buy each other, they are subject to "merger scrutiny," a set of guidelines that the FTC and DoJ Antitrust Division use to determine whether the outcome is likely to be bad for competition. These rules have been pretty lax since the Reagan administration, but they've currently being revised to make them substantially more strict:

https://www.justice.gov/opa/pr/justice-department-and-ftc-seek-comment-draft-merger-guidelines

One of the blind spots in these merger guidelines is an exemption for mergers valued at less than $101m. Under the Hart-Scott-Rodino Act, these fly under the radar, evading merger scrutiny. That means that canny PE companies can roll up dozens and dozens of standalone businesses, like funeral homes, hospital beds, magic mushrooms, youth addiction treatment centers, mobile home parks, nursing homes, physicians’ practices, local newspapers, or e-commerce sellers:

http://www.economicliberties.us/wp-content/uploads/2022/12/Serial-Acquisitions-Working-Paper-R4-2.pdf

By titrating the purchase prices, PE companies – like Blackstone, owners of Chamberlain and all the other garage-door makers – can acquire a monopoly without ever raising a regulatory red flag.

But antitrust enforcers aren't helpless. Under (the long dormant) Section 7 of the Clayton Act, competition regulators can block mergers that lead to "incipient monopolization." The incipiency standard prevented monopolies from forming from 1914, when the Clayton Act passed, until the Reagan administration. We used to put down rat poison, and we didn't have rats. We stopped, and rats are gnawing our faces off. We still know where the rat poison is – maybe we should start putting it down again.

On to regulation. How is it possible for Chamberlain to sell you a garage-door opener that has an API and works with your chosen home automation system, and then unilaterally confiscate that valuable feature? Shouldn't regulation protect you from this kind of ripoff?

It should, but it doesn't. Instead, we have a bunch of regulations that protect Chamberlain from you. Think of binding arbitration, which allows Chamberlain to force you to click through an "agreement" that takes away your right to sue them or join a class-action suit:

https://pluralistic.net/2022/10/20/benevolent-dictators/#felony-contempt-of-business-model

But regulation could protect you from Chamberlain. Section 5 of the Federal Trade Commission Act allows the FTC to ban any "unfair and deceptive" conduct. This law has been on the books since 1914, but Section 5 has been dormant, forgotten and unused, for decades. The FTC's new dynamo chair, Lina Khan, has revived it, and is use it like a can-opener to free Americans who've been trapped by abusive conduct:

https://pluralistic.net/2023/01/10/the-courage-to-govern/#whos-in-charge

Khan's used Section 5 powers to challenge privacy invasions, noncompete clauses, and other corporate abuses – the bait-and-switch tactics of Chamberlain are ripe for a Section 5 case. If you buy a gadget because it has five features and then the vendor takes two of them away, they are clearly engaged in "unfair and deceptive" conduct.

On to capability. Since time immemorial, corporate leaders have fetishized "flexibility" in their business arrangements – like the ability to do "dynamic pricing" that changes how much you pay for something based on their guess about how much you are willing to pay. But this impulse to play shell games runs up against the hard limits of physical reality: grocers just can't send an army of rollerskated teenagers around the store to reprice everything as soon as a wealthy or desperate-looking customer comes through the door. They're stuck with crude tactics like doubling the price of a flight that doesn't include a Saturday stay as a way of gouging business travelers on an expense account.

With any shell-game, the quickness of the hand deceives the eye. Corporate crooks armed with computers aren't smarter or more wicked than their analog forebears, but they are faster. Digital tools allow companies to alter the "business logic" of their services from instant to instant, in highly automated ways:

https://pluralistic.net/2023/02/19/twiddler/

The monopoly coalition has successfully argued that this endless "twiddling" should not be constrained by privacy, labor or consumer protection law. Without these constraints, corporate twiddlers can engage in all kinds of ripoffs, like wage theft and algorithmic wage discrimination:

https://pluralistic.net/2023/04/12/algorithmic-wage-discrimination/#fishers-of-men

Twiddling is key to the Darth Vader MBA ("I am altering the deal. Pray I don't alter it further"), in which features are confiscated from moment to moment, without warning or recourse:

https://pluralistic.net/2023/10/26/hit-with-a-brick/#graceful-failure

There's no reason to accept the premise that violating your privacy, labor rights or consumer rights with a computer is so different from analog ripoffs that existing laws don't apply. The unconstrained twiddling of digital ripoff artists is a plague on billions of peoples' lives, and any enforcer who sticks up for our rights will have an army of supporters behind them.

Finally, there's the fear of self-help measures. All the digital flexibility that tech companies use to take value away can be used to take it back, too. The whole modern history of digital computers is the history of "adversarial interoperability," in which the sleazy antifeatures of established companies are banished through reverse-engineering, scraping, bots and other forms of technological guerrilla warfare:

https://www.eff.org/deeplinks/2019/10/adversarial-interoperability

Adversarial interoperability represents a serious threat to established business. If you're a printer company gouging on toner, your customers might defect to a rival that jailbreaks your security measures. That's what happened to Lexmark, who lost a case against the toner-refilling company Static Controls, which went on to buy Lexmark:

https://www.eff.org/deeplinks/2019/06/felony-contempt-business-model-lexmarks-anti-competitive-legacy

Sure, your customers are busy and inattentive and you can degrade the quality of your product a lot before they start looking for ways out. But once they cross that threshold, you can lose them forever. That's what happened to Microsoft: the company made the tactical decision to produce a substandard version of Office for the Mac in a drive to get Mac users to switch to Windows. Instead, Apple made Iwork (Pages, Numbers and Keynote), which could read and write every Office file, and Mac users threw away Office, the only Microsoft product they owned, permanently severing their relationship to the company:

https://www.eff.org/deeplinks/2019/06/adversarial-interoperability-reviving-elegant-weapon-more-civilized-age-slay

Today, companies can operate without worrying about this kind of self-help measure. There' a whole slew of IP rights that Chamberlain can enforce against you if you try to fix your garage-door opener yourself, or look to a competitor to sell you a product that restores the feature they took away:

https://locusmag.com/2020/09/cory-doctorow-ip/

Jailbreaking your Chamberlain gadget in order to make it answer to a rival's app involves bypassing a digital lock. Trafficking in a tool to break a digital lock is a felony under Section 1201 of the Digital Millennium Copyright, carrying a five-year prison sentence and a $500,000 fine.

In other words, it's not just that tech isn't regulated, allowing for endless twiddling against your privacy, consumer rights and labor rights. It's that tech is badly regulated, to permit unlimited twiddling by tech companies to take away your rightsand to prohibit any twiddling by you to take them back. The US government thumbs the scales against you, creating a regime that Jay Freeman aptly dubbed "felony contempt of business model":

https://pluralistic.net/2022/10/23/how-to-fix-cars-by-breaking-felony-contempt-of-business-model/

All kinds of companies have availed themselves of this government-backed superpower. There's DRM – digital locks, covered by DMCA 1201 – in powered wheelchairs:

https://www.eff.org/deeplinks/2022/06/when-drm-comes-your-wheelchair

In dishwashers:

https://pluralistic.net/2021/05/03/cassette-rewinder/#disher-bob

In treadmills:

https://pluralistic.net/2021/06/22/vapescreen/#jane-get-me-off-this-crazy-thing

In tractors:

https://pluralistic.net/2022/05/08/about-those-kill-switched-ukrainian-tractors/

It should come as no surprise to learn that Chamberlain has used DMCA 1201 to block interoperable garage door opener components:

https://scholarship.law.marquette.edu/cgi/viewcontent.cgi?article=1233&context=iplr

That's how we arrived at this juncture, where a company like Chamberlain can break functionality its customers value highly, solely to eke out a minuscule new line of revenue by selling ads on their own app.

Chamberlain bought all its competitors.

Chamberlain operates in a regulatory environment that is extremely tolerant of unfair and deceptive practices. Worse: they can unilaterally take away your right to sue them, which means that if regulators don't bestir themselves to police Chamberlain, you are shit out of luck.

Chamberlain has endless flexibility to unilaterally alter its products' functionality, in fine-grained ways, even after you've purchased them.

Chamberlain can sue you if you try to exercise some of that same flexibility to protect yourself from their bad practices.

Combine all four of those factors, and of course Chamberlain is going to enshittify its products. Every company has had that one weaselly asshole at the product-planning table who suggests a petty grift like breaking every one of the company's customers' property to sell a few ads. But historically, the weasel lost the argument to others, who argued that making every existing customer furious would affect the company's bottom line, costing it sales and/or fines, and prompting customers to permanently sever their relationship with the company by seeking out and installing alternative software. Take away all the constraints on a corporation's worst impulses, and this kind of conduct is inevitable:

https://pluralistic.net/2023/07/28/microincentives-and-enshittification/

This isn't limited to Chamberlain. Without the discipline of competition, regulation, self-help measures or technological limitations, every industry in undergoing wholesale enshittification. It's not a coincidence that Chamberlain's grift involves a push to move users into its app. Because apps can't be reverse-engineered and modified without risking DMCA 1201 prosecution, forcing a user into an app is a tidy and reliable way to take away that user's rights.

Think about ad-blocking. One in four web users has installed an ad-blockers ("the biggest boycott in world history" -Doc Searls). Zero app users have installed app-blockers, because they don't exist, because making one is a felony. An app is just a web-page wrapped in enough IP to make it a crime to defend yourself against corporate predation:

https://pluralistic.net/2023/08/27/an-audacious-plan-to-halt-the-internets-enshittification-and-throw-it-into-reverse/

The temptation to enshitiffy isn't new, but the ability to do so without consequence is a modern phenomenon, the intersection of weak policy enforcement and powerful technology. Your car is autoenshittified, a rolling rent-seeking platform that spies on you and price-gouges you:

https://pluralistic.net/2023/07/24/rent-to-pwn/#kitt-is-a-demon

Cars are in an uncontrolled skid over Enshittification Cliff. Honda, Toyota, VW and GM all sell cars with infotainment systems that harvest your connected phone's text-messages and send them to the corporation for data-mining. What's more, a judge in Washington state just ruled that this is legal:

https://therecord.media/class-action-lawsuit-cars-text-messages-privacy

While there's no excuse for this kind of sleazy conduct, we can reasonably anticipate that if our courts would punish companies for engaging in it, they might be able to resist the temptation. No wonder Mozilla's latest Privacy Not Included research report called cars "the worst product category we have ever reviewed":

https://foundation.mozilla.org/en/privacynotincluded/articles/its-official-cars-are-the-worst-product-category-we-have-ever-reviewed-for-privacy/

I mean, Nissan tries to infer facts about your sex life and sells those inferences to marketing companies:

https://foundation.mozilla.org/en/privacynotincluded/nissan/

But the OG digital companies are the masters of enshittification. Microsoft has been at this game for longer than anyone, and every day brings a fresh way that Microsoft has worsened its products without fear of consequence. The latest? You can't delete your OneDrive account until you provide an acceptable explanation for your disloyalty:

https://www.theverge.com/2023/11/8/23952878/microsoft-onedrive-windows-close-app-notification

It's tempting to think that the cruelty is the point, but it isn't. It's almost never the point. The point is power and money. Unscrupulous businesses have found ways to make money by making their products worse since the industrial revolution. Here's Jules Dupuis, writing about 19th century French railroads:

It is not because of the few thousand francs which would have to be spent to put a roof over the third-class carriages or to upholster the third-class seats that some company or other has open carriages with wooden benches. What the company is trying to do is to prevent the passengers who can pay the second class fare from traveling third class; it hits the poor, not because it wants to hurt them, but to frighten the rich. And it is again for the same reason that the companies, having proved almost cruel to the third-class passengers and mean to the second-class ones, become lavish in dealing with first-class passengers. Having refused the poor what is necessary, they give the rich what is superfluous.

https://www.tumblr.com/mostlysignssomeportents/731357317521719296/having-refused-the-poor-what-is-necessary-they

But as bad as all this is, let me remind you about the good part: we know how to stop companies from enshittifying their products. We know what disciplines their conduct: competition, regulation, capability and self-help measures. Yes, rats are gnawing our eyeballs, but we know which rat-poison to use, and where to put it to control those rats.

Competition, regulation, constraint and self-help measures all backstop one another, and while one or a few can make a difference, they are most powerful when they're all mobilized in concert. Think of the failure of the EU's landmark privacy law, the GDPR. While the GDPR proved very effective against bottom-feeding smaller ad-tech companies, the worse offenders, Meta and Google, have thumbed their noses at it.

This was enabled in part by the companies' flying an Irish flag of convenience, maintaining the pretense that they have to be regulated in a notorious corporate crime-haven:

https://pluralistic.net/2023/05/15/finnegans-snooze/#dirty-old-town

That let them get away with all kinds of shenanigans, like ignoring the GDPR's requirement that you should be able to easily opt out of data-collection without having to go through cumbersome "cookie consent" dialogs or losing access to the service as punishment for declining to be tracked.

As the noose has tightened around these surveillance giants, they're continuing to play games. Meta now says that the only way to opt out of data-collection in the EU is to pay for the service:

https://pluralistic.net/2023/10/30/markets-remaining-irrational/#steins-law

This is facially illegal under the GDPR. Not only are they prohibited from punishing you for opting out of collection, but the whole scheme ignores the nature of private data collection. If Facebook collects the fact that you and I are friends, but I never opted into data-collection, they have violated the GDPR, even if you were coerced into granting consent:

https://www.nakedcapitalism.com/2023/11/the-pay-or-consent-challenge-for-platform-regulators.html

The GDPR has been around since 2016 and Google and Meta are still invading 500 million Europeans' privacy. This latest delaying tactic could add years to their crime-spree before they are brought to justice.

But most of this surveillance is only possible because so much of how you interact with Google and Meta is via an app, and an app is just a web-page that's a felony to make an ad-blocker for. If the EU were to legalize breaking DRM – repealing Article 6 of the 2001 Copyright Directive – then we wouldn't have to wait for the European Commission to finally wrestle these two giant companies to the ground. Instead, EU companies could make alternative clients for all of Google and Meta's services that don't spy on you, without suffering the fate of OG App, which tried this last winter and was shut down by "felony contempt of business model":

https://pluralistic.net/2023/02/05/battery-vampire/#drained

Enshittification is demoralizing. To quote @wilwheaton, every update to the services we use inspires "dread of 'How will this complicate things as I try to maintain privacy and sanity in a world that demands I have this thing to operate?'"

https://wilwheaton.tumblr.com/post/698603648058556416/cory-doctorow-if-you-see-this-and-have-thoughts

But there are huge natural constituencies for the four disciplining forces that keep enshittification at bay.

Remember, Antitrust's Twilight Zone doesn't just allow rollups of garage-door opener companies – it's also poison for funeral homes, hospital beds, magic mushrooms, youth addiction treatment centers, mobile home parks, nursing homes, physicians’ practices, local newspapers, or e-commerce sellers.

The Binding Arbitration scam that stops Chamberlain customers from suing the company also stops Uber drivers from suing over stolen wages, Turbotax customers from suing over fraud, and many other victims of corporate crime from getting a day in court.

The failure to constrain twiddling to protect privacy, labor rights and consumer rights enables a host of abuses, from stalking, doxing and SWATting to wage theft and price gouging:

https://pluralistic.net/2023/11/06/attention-rents/#consumer-welfare-queens

And Felony Contempt of Business Model is used to screw you over every time you refill your printer, run your dishwasher, or get your Iphone's screen replaced.

The actions needed to halt and reverse this enshittification are well understood, and the partisans for taking those actions are too numerous to count. It's taken a long time for all those individuals suffering under corporate abuses to crystallize into a movement, but at long last, it's happening.

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

https://pluralistic.net/2023/11/09/lead-me-not-into-temptation/#chamberlain

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

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

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manekapiyumawali · 27 days ago

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Why Sabaragamuwa University is a Great Choice.

Sabaragamuwa University of Sri Lanka (SUSL) is increasingly recognized for its technological advancement and innovation-driven environment, making it one of the leading universities in Sri Lanka in terms of technology. Here are the key reasons why SUSL stands out technologically.

Here’s why SUSL stands out as a technological powerhouse among Sri Lankan universities:

🔧1. Faculty of Technology

SUSL established a dedicated Faculty of Technology to meet the demand for tech-skilled graduates. It offers degree programs such as:

BTech in Information and Communication Technology

BTech in Engineering Technology

These programs combine practical experience in labs, workshops and real-world projects with a strong theoretical foundation.

🖥️2. Advanced IT Infrastructure

SUSL has modern computer labs, smart classrooms, and high-speed internet access across campus.

A robust Learning Management System (LMS) supports online learning and hybrid education models.

Students and lecturers use tools like Moodle, Zoom, and Google Classroom effectively.

🤖 3. Innovation & AI Research Support

SUSL promotes AI, Machine Learning, IoT, and Data Science in student research and final-year projects.

Competitions like Hackathons and Innovative Research Symposia encourage tech-driven solutions.

Students develop apps, smart systems, and automation tools (e.g., Ceylon Power Tracker project).

🌐 4. Industry Collaboration and Internships

SUSL connects students with the tech industry through:

Internships at leading tech firms

Workshops led by industry experts

Collaborative R&D projects with government and private sector entities

These connections help students gain hands-on experience in areas such as software engineering, networking, and data analytics that make them highly employable after graduation.

💡 5. Smart Campus Initiatives

SUSL is evolving into a Smart University, introducing systems that streamline academic life:

Digital student portals

Online registration and results systems

E-library and remote resource access

Campus Wi-Fi for academic use

These initiatives improve the student experience and create an efficient, technology-enabled environment.

🎓 6. Research in Emerging Technologies

The university is involved in pioneering research across emerging technological fields, including:

Agricultural tech (AgriTech)

Environmental monitoring using sensors

Renewable energy systems

Students and faculty publish research in international journals and participate in global tech events.

🏆 7. Recognition in National Competitions

SUSL students often reach fina rounds or win national competitions in coding, robotics, AI, and IoT innovation.

Faculty members are invited as tech advisors and conference speakers, reinforcing the university's expertise.

Sabaragamuwa University is actively shaping the future not only with technology, but by integrating technology into education, research and operations. This makes it a technological leader among Sri Lankan Universities. Visit the official university site here: Home | SUSL

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rootresident · 2 months ago

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Self Hosting

I haven't posted here in quite a while, but the last year+ for me has been a journey of learning a lot of new things. This is a kind of 'state-of-things' post about what I've been up to for the last year.

I put together a small home lab with 3 HP EliteDesk SFF PCs, an old gaming desktop running an i7-6700k, and my new gaming desktop running an i7-11700k and an RTX-3080 Ti.

"Using your gaming desktop as a server?" Yep, sure am! It's running Unraid with ~7TB of storage, and I'm passing the GPU through to a Windows VM for gaming. I use Sunshine/Moonlight to stream from the VM to my laptop in order to play games, though I've definitely been playing games a lot less...

On to the good stuff: I have 3 Proxmox nodes in a cluster, running the majority of my services. Jellyfin, Audiobookshelf, Calibre Web Automated, etc. are all running on Unraid to have direct access to the media library on the array. All told there's 23 docker containers running on Unraid, most of which are media management and streaming services. Across my lab, I have a whopping 57 containers running. Some of them are for things like monitoring which I wouldn't really count, but hey I'm not going to bother taking an effort to count properly.

The Proxmox nodes each have a VM for docker which I'm managing with Portainer, though that may change at some point as Komodo has caught my eye as a potential replacement.

All the VMs and LXC containers on Proxmox get backed up daily and stored on the array, and physical hosts are backed up with Kopia and also stored on the array. I haven't quite figured out backups for the main storage array yet (redundancy != backups), because cloud solutions are kind of expensive.

You might be wondering what I'm doing with all this, and the answer is not a whole lot. I make some things available for my private discord server to take advantage of, the main thing being game servers for Minecraft, Valheim, and a few others. For all that stuff I have to try and do things mostly the right way, so I have users managed in Authentik and all my other stuff connects to that. I've also written some small things here and there to automate tasks around the lab, like SSL certs which I might make a separate post on, and custom dashboard to view and start the various game servers I host. Otherwise it's really just a few things here and there to make my life a bit nicer, like RSSHub to collect all my favorite art accounts in one place (fuck you Instagram, piece of shit).

It's hard to go into detail on a whim like this so I may break it down better in the future, but assuming I keep posting here everything will probably be related to my lab. As it's grown it's definitely forced me to be more organized, and I promise I'm thinking about considering maybe working on documentation for everything. Bookstack is nice for that, I'm just lazy. One day I might even make a network map...

#coding #programming #selfhosted #homelab

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shalu620 · 3 months ago

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Why Python Will Thrive: Future Trends and Applications

Python has already made a significant impact in the tech world, and its trajectory for the future is even more promising. From its simplicity and versatility to its widespread use in cutting-edge technologies, Python is expected to continue thriving in the coming years. Considering the kind support of Python Course in Chennai Whatever your level of experience or reason for switching from another programming language, learning Python gets much more fun.

Let's explore why Python will remain at the forefront of software development and what trends and applications will contribute to its ongoing dominance.

1. Artificial Intelligence and Machine Learning

Python is already the go-to language for AI and machine learning, and its role in these fields is set to expand further. With powerful libraries such as TensorFlow, PyTorch, and Scikit-learn, Python simplifies the development of machine learning models and artificial intelligence applications. As more industries integrate AI for automation, personalization, and predictive analytics, Python will remain a core language for developing intelligent systems.

2. Data Science and Big Data

Data science is one of the most significant areas where Python has excelled. Libraries like Pandas, NumPy, and Matplotlib make data manipulation and visualization simple and efficient. As companies and organizations continue to generate and analyze vast amounts of data, Python’s ability to process, clean, and visualize big data will only become more critical. Additionally, Python’s compatibility with big data platforms like Hadoop and Apache Spark ensures that it will remain a major player in data-driven decision-making.

3. Web Development

Python’s role in web development is growing thanks to frameworks like Django and Flask, which provide robust, scalable, and secure solutions for building web applications. With the increasing demand for interactive websites and APIs, Python is well-positioned to continue serving as a top language for backend development. Its integration with cloud computing platforms will also fuel its growth in building modern web applications that scale efficiently.

4. Automation and Scripting

Automation is another area where Python excels. Developers use Python to automate tasks ranging from system administration to testing and deployment. With the rise of DevOps practices and the growing demand for workflow automation, Python’s role in streamlining repetitive processes will continue to grow. Businesses across industries will rely on Python to boost productivity, reduce errors, and optimize performance. With the aid of Best Online Training & Placement Programs, which offer comprehensive training and job placement support to anyone looking to develop their talents, it’s easier to learn this tool and advance your career.

5. Cybersecurity and Ethical Hacking

With cyber threats becoming increasingly sophisticated, cybersecurity is a critical concern for businesses worldwide. Python is widely used for penetration testing, vulnerability scanning, and threat detection due to its simplicity and effectiveness. Libraries like Scapy and PyCrypto make Python an excellent choice for ethical hacking and security professionals. As the need for robust cybersecurity measures increases, Python’s role in safeguarding digital assets will continue to thrive.

6. Internet of Things (IoT)

Python’s compatibility with microcontrollers and embedded systems makes it a strong contender in the growing field of IoT. Frameworks like MicroPython and CircuitPython enable developers to build IoT applications efficiently, whether for home automation, smart cities, or industrial systems. As the number of connected devices continues to rise, Python will remain a dominant language for creating scalable and reliable IoT solutions.

7. Cloud Computing and Serverless Architectures

The rise of cloud computing and serverless architectures has created new opportunities for Python. Cloud platforms like AWS, Google Cloud, and Microsoft Azure all support Python, allowing developers to build scalable and cost-efficient applications. With its flexibility and integration capabilities, Python is perfectly suited for developing cloud-based applications, serverless functions, and microservices.

8. Gaming and Virtual Reality

Python has long been used in game development, with libraries such as Pygame offering simple tools to create 2D games. However, as gaming and virtual reality (VR) technologies evolve, Python’s role in developing immersive experiences will grow. The language’s ease of use and integration with game engines will make it a popular choice for building gaming platforms, VR applications, and simulations.

9. Expanding Job Market

As Python’s applications continue to grow, so does the demand for Python developers. From startups to tech giants like Google, Facebook, and Amazon, companies across industries are seeking professionals who are proficient in Python. The increasing adoption of Python in various fields, including data science, AI, cybersecurity, and cloud computing, ensures a thriving job market for Python developers in the future.

10. Constant Evolution and Community Support

Python’s open-source nature means that it’s constantly evolving with new libraries, frameworks, and features. Its vibrant community of developers contributes to its growth and ensures that Python stays relevant to emerging trends and technologies. Whether it’s a new tool for AI or a breakthrough in web development, Python’s community is always working to improve the language and make it more efficient for developers.

Conclusion

Python’s future is bright, with its presence continuing to grow in AI, data science, automation, web development, and beyond. As industries become increasingly data-driven, automated, and connected, Python’s simplicity, versatility, and strong community support make it an ideal choice for developers. Whether you are a beginner looking to start your coding journey or a seasoned professional exploring new career opportunities, learning Python offers long-term benefits in a rapidly evolving tech landscape.

#python course #python training #python #technology #tech #python programming #python online training #python online course #python online classes #python certification

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prestigehousing · 4 months ago

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FL Studio Argentina: The Ultimate Choice for Music Producers.

FL Studio is one of the most popular digital audio workstations (DAWs) worldwide, and in Argentina, it has gained a strong following among music producers, DJs, and artists. Known for its intuitive interface, powerful features, and flexibility, FL Studio Argentina has become the go-to software for those looking to create professional-quality music. Whether you're producing electronic beats, hip-hop tracks, or orchestral compositions, FL Studio provides all the tools you need to bring your creative vision to life.

Why Choose FL Studio in Argentina?

Argentina has a thriving music scene, with genres ranging from rock and electronic to cumbia and reggaeton. FL Studio caters to all these styles, offering a wide range of virtual instruments, effects, and mixing tools. Its user-friendly workflow allows beginners to start creating music immediately, while advanced producers can take advantage of its deep customization options.

One of the biggest advantages of FL Studio Argentina is its lifetime free updates. This means that once you purchase the software, you will receive all future updates at no additional cost. This feature makes it an excellent investment for musicians looking for long-term solutions.

Features That Make FL Studio Stand Out

Step Sequencer & Piano Roll: Create melodies and drum patterns easily.

VST Support: Use third-party plugins to expand your sound library.

Automation & Effects: Add depth and movement to your tracks.

Live Performance Mode: Ideal for DJs and live electronic performances.

Multi-Touch Support: Works seamlessly on touchscreen devices.

Finding the Perfect Studio Space in Argentina

If you’re looking for an inspiring place to work on your music, Quinta Mendoza offers a stylish and comfortable studio flat in Argentina. Located in a peaceful environment, this property provides the perfect setting for artists and producers to focus on their craft. With modern amenities and a great atmosphere, it's an excellent option for anyone looking for a creative retreat.

Conclusion

Whether you're an aspiring producer or an experienced musician, FL Studio Argentina is the ultimate tool for music production. Combined with the right studio environment, you can take your creativity to the next level. Start making music today and let your talent shine!

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chiragqlanceblogs · 4 months ago

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How Python Powers Scalable and Cost-Effective Cloud Solutions

Explore the role of Python in developing scalable and cost-effective cloud solutions. This guide covers Python's advantages in cloud computing, addresses potential challenges, and highlights real-world applications, providing insights into leveraging Python for efficient cloud development.

Introduction

In today's rapidly evolving digital landscape, businesses are increasingly leveraging cloud computing to enhance scalability, optimize costs, and drive innovation. Among the myriad of programming languages available, Python has emerged as a preferred choice for developing robust cloud solutions. Its simplicity, versatility, and extensive library support make it an ideal candidate for cloud-based applications.

In this comprehensive guide, we will delve into how Python empowers scalable and cost-effective cloud solutions, explore its advantages, address potential challenges, and highlight real-world applications.

Why Python is the Preferred Choice for Cloud Computing?

Python's popularity in cloud computing is driven by several factors, making it the preferred language for developing and managing cloud solutions. Here are some key reasons why Python stands out:

Simplicity and Readability: Python's clean and straightforward syntax allows developers to write and maintain code efficiently, reducing development time and costs.

Extensive Library Support: Python offers a rich set of libraries and frameworks like Django, Flask, and FastAPI for building cloud applications.

Seamless Integration with Cloud Services: Python is well-supported across major cloud platforms like AWS, Azure, and Google Cloud.

Automation and DevOps Friendly: Python supports infrastructure automation with tools like Ansible, Terraform, and Boto3.

Strong Community and Enterprise Adoption: Python has a massive global community that continuously improves and innovates cloud-related solutions.

How Python Enables Scalable Cloud Solutions?

Scalability is a critical factor in cloud computing, and Python provides multiple ways to achieve it:

1. Automation of Cloud Infrastructure

Python's compatibility with cloud service provider SDKs, such as AWS Boto3, Azure SDK for Python, and Google Cloud Client Library, enables developers to automate the provisioning and management of cloud resources efficiently.

2. Containerization and Orchestration

Python integrates seamlessly with Docker and Kubernetes, enabling businesses to deploy scalable containerized applications efficiently.

3. Cloud-Native Development

Frameworks like Flask, Django, and FastAPI support microservices architecture, allowing businesses to develop lightweight, scalable cloud applications.

4. Serverless Computing

Python's support for serverless platforms, including AWS Lambda, Azure Functions, and Google Cloud Functions, allows developers to build applications that automatically scale in response to demand, optimizing resource utilization and cost.

5. AI and Big Data Scalability

Python’s dominance in AI and data science makes it an ideal choice for cloud-based AI/ML services like AWS SageMaker, Google AI, and Azure Machine Learning.

Looking for expert Python developers to build scalable cloud solutions? Hire Python Developers now!

Advantages of Using Python for Cloud Computing

Cost Efficiency: Python’s compatibility with serverless computing and auto-scaling strategies minimizes cloud costs.

Faster Development: Python’s simplicity accelerates cloud application development, reducing time-to-market.

Cross-Platform Compatibility: Python runs seamlessly across different cloud platforms.

Security and Reliability: Python-based security tools help in encryption, authentication, and cloud monitoring.

Strong Community Support: Python developers worldwide contribute to continuous improvements, making it future-proof.

Challenges and Considerations

While Python offers many benefits, there are some challenges to consider:

Performance Limitations: Python is an interpreted language, which may not be as fast as compiled languages like Java or C++.

Memory Consumption: Python applications might require optimization to handle large-scale cloud workloads efficiently.

Learning Curve for Beginners: Though Python is simple, mastering cloud-specific frameworks requires time and expertise.

Python Libraries and Tools for Cloud Computing

Python’s ecosystem includes powerful libraries and tools tailored for cloud computing, such as:

Boto3: AWS SDK for Python, used for cloud automation.

Google Cloud Client Library: Helps interact with Google Cloud services.

Azure SDK for Python: Enables seamless integration with Microsoft Azure.

Apache Libcloud: Provides a unified interface for multiple cloud providers.

PyCaret: Simplifies machine learning deployment in cloud environments.

Real-World Applications of Python in Cloud Computing

1. Netflix - Scalable Streaming with Python

Netflix extensively uses Python for automation, data analysis, and managing cloud infrastructure, enabling seamless content delivery to millions of users.

2. Spotify - Cloud-Based Music Streaming

Spotify leverages Python for big data processing, recommendation algorithms, and cloud automation, ensuring high availability and scalability.

3. Reddit - Handling Massive Traffic

Reddit uses Python and AWS cloud solutions to manage heavy traffic while optimizing server costs efficiently.

Future of Python in Cloud Computing

The future of Python in cloud computing looks promising with emerging trends such as:

AI-Driven Cloud Automation: Python-powered AI and machine learning will drive intelligent cloud automation.

Edge Computing: Python will play a crucial role in processing data at the edge for IoT and real-time applications.

Hybrid and Multi-Cloud Strategies: Python’s flexibility will enable seamless integration across multiple cloud platforms.

Increased Adoption of Serverless Computing: More enterprises will adopt Python for cost-effective serverless applications.

Conclusion

Python's simplicity, versatility, and robust ecosystem make it a powerful tool for developing scalable and cost-effective cloud solutions. By leveraging Python's capabilities, businesses can enhance their cloud applications' performance, flexibility, and efficiency.

Ready to harness the power of Python for your cloud solutions? Explore our Python Development Services to discover how we can assist you in building scalable and efficient cloud applications.

FAQs

1. Why is Python used in cloud computing?

Python is widely used in cloud computing due to its simplicity, extensive libraries, and seamless integration with cloud platforms like AWS, Google Cloud, and Azure.

2. Is Python good for serverless computing?

Yes! Python works efficiently in serverless environments like AWS Lambda, Azure Functions, and Google Cloud Functions, making it an ideal choice for cost-effective, auto-scaling applications.

3. Which companies use Python for cloud solutions?

Major companies like Netflix, Spotify, Dropbox, and Reddit use Python for cloud automation, AI, and scalable infrastructure management.

4. How does Python help with cloud security?

Python offers robust security libraries like PyCryptodome and OpenSSL, enabling encryption, authentication, and cloud monitoring for secure cloud applications.

5. Can Python handle big data in the cloud?

Yes! Python supports big data processing with tools like Apache Spark, Pandas, and NumPy, making it suitable for data-driven cloud applications.

#Python development company #Python in Cloud Computing #Hire Python Developers #Python for Multi-Cloud Environments

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nhaneh · 1 year ago

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I think a lot sometimes about the pushback against the concept of talent within arts and I mean yeah on some level I get it, but also the suggestion that anyone can learn to draw is, to me, like saying anyone can learn to program.

like yes, sure, at the end of the day just about anyone can likely find some way of forming vague scribbles using their tool or input peripheral of choice, but that's basically like saying just about anyone can find ways of writing semicolons and the words if, then, else on some kind of digital computer - the difficulty was never in achieving the most basic and abstracted interpretation of the act, but in an understanding of how your actions translate into the kind of end result that you want.

in programming, the most basic starter program that nearly every extremely basic example or tutorial will start with is called Hello World, which is simply a program that prints or otherwise displays the text Hello World to the user.

#include <iostream>

in python, this can be done with a single line of code, like so:

print("Hello World!")

while in C++, that same program will take a bit more work:

#include <iostream>

int main()

{

std::cout << "Hello World!\n";

return 0;

}

Now if you have the ability to copy that text into a file then congratulations, you have the ability to write a program! But, obviously, to really do any actual programming, you kind of need to know what any of the above actually means and what it makes the computer actually do.

This by the way is why the "Learn to Code" kind of initiatives tend not to work out very well, because while technically anyone can write code, actually understanding how to code is a much more complicated affair that can't necessarily be directly taught - it's something that has to be understood.

What is needed, basically, is a system - a kind of mental library of symbols and concepts that you can rearrange and reassemble in various ways to reach a particular solution; a point where you can break down a larger problem into a bunch of much smaller, more individualised problems that are easier to solve one by one.

This is basically how expertise works - whether consciously or (much more often!) not, you form models and systems in your head to let you simplify and, to an extent, automate otherwise complex tasks. If you've ever looked at something and just felt this feeling of "aha, I see how this works", then you should technically already know what I'm talking about.

And look, this is not an argument against practice - expertise takes work, it takes training and experience and gradually discovering ways in which things start making sense to you, even those things that you might have an intuitive knack for. However, what I do think is that telling people who say they can't draw to "just draw anyway" is a lot like, and just as dismissive as, "Learn to Code" because, just like how saying "I don't know how to code" generally is not meant to be understood as "I am physically unable to write words into a text document", saying "I can't draw" typically does not mean being physically unable to form lines or shapes on paper or in a digital image or whatever. Rather, it's a statement about being unable to break down the problem of how to reach a desired end result into smaller, manageable steps that you are able to grasp. And, much like with programming, not everyone will have an eye, or a mind, for it: just like some people struggle with spelling or mathematics or, indeed, code, some people also struggle with colour or perspective or object shape or lighting and shading. And, by contrast, for some people these things also come much more easily and naturally than others.

Not everyone can do everything - at least not to such an extent that it would let them do something they would want to do. Practice can help, certainly, but it's not necessarily guaranteed to bridge the gap either. I mean, I personally find it baffling how many people seem to struggle with what I consider basic computer literacy, but that's a lot to do with the fact that I just happen to find much of it pretty simple and straightforward where a lot of people don't. Not everyone has a base aptitude to build on for every field or skill, and that's both fine and normal. And I mean - something as simple as the ability to put in the effort to practice and learn a particular skill or expertise is in itself a skill, and one that can be very selective about what contexts it's willing to apply to.

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ogma-conceptions · 6 months ago

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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!

#web scraping #data scraping #python #full stack developer #web hosting

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arbitrarygreay · 1 year ago

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Audacity for Debian-based Linux

So, some time around 2020/2021, Audacity for Linux from the repositories of Debian-based distros (including Ubuntu, Mint, etc.) no longer had access to high quality stretch (change tempo, change pitch, shifting slider). This appears to be due to a combination of Debian no longer updating Audacity at all past 2.4.2 (as Audacity's new owners from 3.0.0 on have had...issues, to put it lightly), but also the fact that 2.4.2 specifically was requiring a version of the SBSMS library past what Debian had. It's still the case that the apt version of Audacity on Linux Mint still lacks the high quality stretch functions.

The workaround for this is to compile from source. HOWEVER. Be apprised that if you specifically go for version 2.4.2, there is still a bug around SBSMS, which causes Audacity to crash when attempting high quality stretching. Apparently, if you go for versions afterwards (3.0+, new Audacity owners), or the version before (2.3.3), you will not run into this issue.

I am stubborn, so I have verified that I can now open Audacity 2.4.2 and do a high quality pitch change without crashing. Here are the solution options. Know that both are still compiling from source.

Option 1: Do it manually command by command on the terminal

You will, however, notice that the important download link for the patch is broken. You must get it from here.

Note that you should preface all of the commands listed in that post with "sudo", or they will likely throw an error. (Or do whatever you need to for terminal to continuously recognize root access.) In addition, note that the "pre-installation test" section is not optional. Audacity will not run if the "Portable Settings" folder is not created, and furthermore, the "Portable Settings" folder and all containing files need to have write permissions enabled to the relevant non-root group/owner.

Whether you installed manually or used the script, you will need to go to "/usr/local/share/audacity/audacity-minsrc-2.4.2/build/bin/Release" to launch Audacity. In the file explorer window, you can click the button to the left of the magnifying glass to switch to text input where you can copy and paste the above path. Or, from /home, go up one level, and then navigate through manually.

Change the launcher's icon and add it to the start menu/desktop, per your specific distro and desktop environment.

Option 2: Modify and run a bash script

I found a helpful Youtube video stepping through the process, before they link to a bash script automating the whole thing. However, the script does not include the 2.4.2 patch. There are also a few modifications that need to be done to the script.

Modifications to make (right click the .sh file, open with, pick some text editor):

Line 35: change the dl_directory to match your own system. (Specifically, you probably need to replace "piuser" with your own account name.)

This change also needs be done on lines 115, 116, and 120 (or replace the hard coded parts with "${DL_DIRECTORY}").

Line 77 (optional): add "patch" as a dependent package to check. Like Python, it's mostly likely already installed, so you could leave this commented out.

Lines 139-142: Not a modification, but a note that I didn't end up using this (left it commented out), so I did have to download the 2.4.2 source code from fosshub manually and put it in the location specified by dl_directory. I also put the patch there. If you do want to try to automate the download, you'll not only have to add another line to also download the patch file, but both the source code for 2.4.2 and the patch have hyphens in their urls, so you need to either add backslashes to escape them, or enclose the entire url in quotation marks. But I also can't guarantee that either of those things will work, since I ended up doing the downloads manually.

Line 150: Per the manual installation above, the patch needs to be applied before the build. Add this code block at line 150 (after the script checks to see if the "Build" folder exists):

#SBSMS patch required for 2.4.2 if [ -f "${DL_DIRECTORY}/changepitch.patch" ]; then sudo cp "${DL_DIRECTORY}/changepitch.patch" "${DIRECTORY}/${VERSION}" fi sudo patch -p 1 < changepitch.patch

That's it for changing the script. Save it, close out of the text editor. (If you decided not to try letting the script do the downloads, then make sure you download the source code and the patch and put them in the dl_directory location at this point.)

Enable the script to be executable. (Right click the .sh file, Properties. On the Permissions tab, check that "Allow executing file as a program" is checked.)

Double click the .sh file. I suggest doing the "Run In Terminal" option so you can see the progress. (And if it's really short, probably something went wrong. The build section takes 20 minutes.)

This script does not include installing the offline manual for Audacity. That is covered in the guide posted in Option 1. Sorry, you'll have to do some terminal typing after all.

Change the launcher's icon and add it to the start menu/desktop, per your specific distro and desktop environment.

#linux #linux mint #ubuntu #debian #audacity #category: other #vibrating at the mashups now once again at my fingertips

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mattersuite · 1 year ago

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How Litigation Management System Helps in Managing Lawsuits

Litigation management system is the best solution for lawyers that have been created to help organize and automate all the tasks or work related to cases of the legal department. Its main feature includes eDiscovery, document management, legal research library, workflow automation, calendaring, contact management, and many more. In this article, you will know how effectively lawyers can manage their lawsuits with litigation management software.

#litigation management system #litigation management #system #litigation management software #software #litigation software #litigation

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roseliejack123 · 2 years ago

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Java's Lasting Impact: A Deep Dive into Its Wide Range of Applications

Java programming stands as a towering pillar in the world of software development, known for its versatility, robustness, and extensive range of applications. Since its inception, Java has played a pivotal role in shaping the technology landscape. In this comprehensive guide, we will delve into the multifaceted world of Java programming, examining its wide-ranging applications, discussing its significance, and highlighting how ACTE Technologies can be your guiding light in mastering this dynamic language.

The Versatility of Java Programming:

Java programming is synonymous with adaptability. It's a language that transcends boundaries and finds applications across diverse domains. Here are some of the key areas where Java's versatility shines:

1. Web Development: Java has long been a favorite choice for web developers. Robust and scalable, it powers dynamic web applications, allowing developers to create interactive and feature-rich websites. Java-based web frameworks like Spring and JavaServer Faces (JSF) simplify the development of complex web applications.

2. Mobile App Development: The most widely used mobile operating system in the world, Android, mainly relies on Java for app development. Java's "write once, run anywhere" capability makes it an ideal choice for creating Android applications that run seamlessly on a wide range of devices.

3. Desktop Applications: Java's Swing and JavaFX libraries enable developers to craft cross-platform desktop applications with sophisticated graphical user interfaces (GUIs). This cross-platform compatibility ensures that your applications work on Windows, macOS, and Linux.

4. Enterprise Software: Java's strengths in scalability, security, and performance make it a preferred choice for developing enterprise-level applications. Customer Relationship Management (CRM) systems, Enterprise Resource Planning (ERP) software, and supply chain management solutions often rely on Java to deliver reliability and efficiency.

5. Game Development: Java isn't limited to business applications; it's also a contender in the world of gaming. Game developers use Java, along with libraries like LibGDX, to create both 2D and 3D games. The language's versatility allows game developers to target various platforms.

6. Big Data and Analytics: Java plays a significant role in the big data ecosystem. Popular frameworks like Apache Hadoop and Apache Spark utilize Java for processing and analyzing massive datasets. Its performance capabilities make it a natural fit for data-intensive tasks.

7. Internet of Things (IoT): Java's ability to run on embedded devices positions it well for IoT development. It is used to build applications for smart homes, wearable devices, and industrial automation systems, connecting the physical world to the digital realm.

8. Scientific and Research Applications: In scientific computing and research projects, Java's performance and libraries for data analysis make it a valuable tool. Researchers leverage Java to process and analyze data, simulate complex systems, and conduct experiments.

9. Cloud Computing: Java is a popular choice for building cloud-native applications and microservices. It is compatible with cloud platforms such as AWS, Azure, and Google Cloud, making it integral to cloud computing's growth.

Why Java Programming Matters:

Java programming's enduring significance in the tech industry can be attributed to several compelling reasons:

Platform Independence: Java's "write once, run anywhere" philosophy allows code to be executed on different platforms without modification. This portability enhances its versatility and cost-effectiveness.

Strong Ecosystem: Java boasts a rich ecosystem of libraries, frameworks, and tools that expedite development and provide solutions to a wide range of challenges. Developers can leverage these resources to streamline their projects.

Security: Java places a strong emphasis on security. Features like sandboxing and automatic memory management enhance the language's security profile, making it a reliable choice for building secure applications.

Community Support: Java enjoys the support of a vibrant and dedicated community of developers. This community actively contributes to its growth, ensuring that Java remains relevant, up-to-date, and in line with industry trends.

Job Opportunities: Proficiency in Java programming opens doors to a myriad of job opportunities in software development. It's a skill that is in high demand, making it a valuable asset in the tech job market.

Java programming is a dynamic and versatile language that finds applications in web and mobile development, enterprise software, IoT, big data, cloud computing, and much more. Its enduring relevance and the multitude of opportunities it offers in the tech industry make it a valuable asset in a developer's toolkit.

As you embark on your journey to master Java programming, consider ACTE Technologies as your trusted partner. Their comprehensive training programs, expert guidance, and hands-on experiences will equip you with the skills and knowledge needed to excel in the world of Java development.

Unlock the full potential of Java programming and propel your career to new heights with ACTE Technologies. Whether you're a novice or an experienced developer, there's always more to discover in the world of Java. Start your training journey today and be at the forefront of innovation and technology with Java programming.

#java training #java course #java #tech #training #technology

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shemsuji432 · 2 years ago

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Exploring the Python and Its Incredible Benefits:

Python, a versatile programming language known for its simplicity and adaptability, holds a prominent position in the technological landscape. Originating in the late 1980s, Python has garnered substantial attention due to its user-friendly syntax, making it an accessible choice for individuals at all levels of programming expertise. Notably, Python's design principles prioritize code clarity, empowering developers to articulate their ideas effectively and devise elegant solutions.

Python's applicability spans a multitude of domains, encompassing web development, data analysis, artificial intelligence, and scientific computing, among others. Its rich array of libraries and frameworks enhances efficiency in diverse tasks, including crafting dynamic websites, automating routine processes, processing and interpreting data, and constructing intricate applications.

The confluence of Python's flexibility and robust community support has driven its widespread adoption across varied industries. Whether one is a newcomer or an accomplished programmer, Python constitutes a potent toolset for software development and systematic problem-solving.

The ensuing enumeration underscores the merits of acquainting oneself with Python:

Accessible Learning: Python's straightforward syntax expedites the learning curve, enabling a focus on logical problem-solving rather than grappling with intricate language intricacies.

Versatility in Application: Python's versatility finds expression in applications spanning web development, data analysis, AI, and more, cultivating diverse avenues for career exploration.

Data Insight and Analysis: Python's specialized libraries, such as NumPy and Pandas, empower adept data analysis and visualization, enhancing data-driven decision-making.

AI and Machine Learning Proficiency: Python's repository of libraries, including Scikit-Learn, empowers the creation of sophisticated algorithms and AI models.

Web Development Prowess: Python's frameworks, notably Django, facilitate the swift development of dynamic, secure web applications, underscoring its relevance in modern web environments.

Efficient Prototyping: Python's agile development capabilities facilitate the rapid creation of prototypes and experimental models, fostering innovation.

Community Collaboration: The dynamic Python community serves as a wellspring of resources and support, nurturing an environment of continuous learning and problem resolution.

Varied Career Prospects: Proficiency in Python translates to an array of roles across diverse sectors, reflecting the expanding demand for skilled practitioners.

Cross-Disciplinary Impact: Python's adaptability transcends industries, permeating sectors such as finance, healthcare, e-commerce, and scientific research.

Open-Source Advantage: Python's open-source nature encourages collaboration, fostering ongoing refinement and communal contribution.

Robust Toolset: Python's toolkit simplifies complex tasks and accelerates development, enhancing productivity.

Code Elegance: Python's elegant syntax fosters code legibility, promoting teamwork and fostering shared comprehension.

Professional Advancement: Proficiency in Python translates into promising career advancement opportunities and the potential for competitive compensation.

Future-Proofed Skills: Python's enduring prevalence and versatile utility ensure that acquired skills remain pertinent within evolving technological landscapes.

In summation, Python's stature as a versatile, user-friendly programming language stands as a testament to its enduring relevance. Its impact is palpable across industries, driving innovation and technological progress.

If you want to learn more about Python, feel free to contact ACTE Institution because they offer certifications and job opportunities. Experienced teachers can help you learn better. You can find these services both online and offline. Take things step by step and consider enrolling in a course if you’re interested.

#python #programming #programmer #technology

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mercyjuliet1512 · 1 year ago

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Deciding Between Selenium with Python and Selenium with Java: An In-Depth Comparison

In the domain of automated testing, Selenium emerges as a pivotal tool for ensuring the reliability and quality of web applications. When it comes to selecting the programming language to harness Selenium's capabilities, two prominent contenders often come into play: Python and Java. Both languages offer distinct advantages and considerations, making the decision between them crucial for any automation project.

In this blog post, we'll conduct a thorough comparison of Selenium with Python and Selenium with Java, exploring their unique strengths, use cases, and factors to consider. By the end, readers will have a clearer understanding of which option aligns best with their project requirements, team proficiencies, and organizational objectives.

Python with Selenium:

Python, celebrated for its simplicity and readability, has garnered significant traction within the automation testing community. Let's delve into some key benefits of leveraging Python with Selenium:

Simplicity and Readability: Python's hallmark characteristics include simplicity and readability. Its concise syntax enables developers to express ideas in fewer lines of code, resulting in scripts that are easier to comprehend and maintain. For testers, this translates to expedited development cycles and reduced overhead in managing test suites.

Extensive Ecosystem: Python boasts a vast ecosystem of libraries and frameworks that complement Selenium, augmenting its capabilities for test automation. Whether handling data manipulation, conducting API testing, or generating test reports, Python's rich library support caters to diverse automation needs. Furthermore, the active Python community ensures an abundance of resources, tutorials, and documentation to aid testers throughout the automation journey.

Rapid Prototyping: Python's dynamic nature lends itself well to rapid prototyping and iterative development. Testers can swiftly experiment with different approaches, adapt scripts on-the-go, and respond promptly to evolving requirements. This flexibility seamlessly aligns with agile development methodologies, empowering teams to deliver high-quality software with agility.

Integration Compatibility: Python's interoperability with other tools and technologies makes it an appealing choice for Selenium automation. Whether integrating with continuous integration (CI) pipelines, test reporting frameworks, or version control systems, Python's versatility ensures smooth interoperability, streamlining the testing workflow and bolstering overall efficiency.

Java with Selenium:

Java, renowned for its robustness and performance, has long been a cornerstone in enterprise software development. Here are some compelling reasons to consider Java for Selenium automation:

Robustness and Performance: Java's static typing and strong object-oriented principles contribute to the robustness and performance of Selenium test suites. Its compile-time error checking aids in identifying potential issues early in the development phase, resulting in more stable and reliable automation scripts. For large-scale enterprise projects with stringent quality requirements, Java's reliability is a significant asset.

Widespread Adoption: Java enjoys widespread adoption within the enterprise landscape, making it a natural choice for organizations with existing Java codebases or a Java-centric development environment. The abundance of Java expertise in the workforce, coupled with extensive community support and industry recognition, solidifies its status as a preferred language for Selenium automation in many corporate settings.

Mature Tooling: Java's mature ecosystem of testing tools and frameworks, including JUnit and TestNG, seamlessly integrate with Selenium to offer comprehensive test automation solutions. These frameworks furnish advanced features such as parameterized testing, parallel execution, and built-in reporting capabilities, empowering testers to design and execute sophisticated test suites effortlessly.

Enterprise Support: Java's popularity in enterprise environments translates to robust support from vendors, extensive documentation, and a plethora of third-party integrations. For organizations seeking enterprise-grade features, reliability, and scalability in their Selenium automation endeavors, Java's ecosystem and support infrastructure present a compelling value proposition.

Conclusion:

In summary, both Selenium with Python and Selenium with Java present compelling options for test automation, each with its unique strengths and considerations. Python excels in simplicity, rapid development, and a vast ecosystem, making it an ideal choice for agile teams and projects with evolving requirements. Conversely, Java offers robustness, performance, and widespread enterprise support, rendering it well-suited for large-scale enterprise applications with stringent quality standards.

Ultimately, the decision between Python and Java for Selenium automation hinges on various factors such as project prerequisites, team proficiencies, and organizational preferences. By meticulously evaluating these factors and weighing the pros and cons of each option, stakeholders can make informed decisions that align with their specific needs and aspirations. Whether opting for the simplicity of Python or the robustness of Java, Selenium remains an indispensable tool for driving quality and efficiency in web application testing.

#selenium #technology #training #selenium training #selenium course

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nividawebsolutions · 2 years ago

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20 Best Android Development Practices in 2023

Introduction:

In today's competitive market, creating high-quality Android applications requires adherence to best development practices. Android app development agencies in Vadodara (Gujarat, India) like Nivida Web Solutions Pvt. Ltd., play a crucial role in delivering exceptional applications. This article presents the 20 best Android development practices to follow in 2023, ensuring the success of your app development projects.

1. Define Clear Objectives:

Begin by defining clear objectives for your Android app development project. Identify the target audience, the app's purpose, and the specific goals you aim to achieve. This clarity will guide the development process and result in a more focused and effective application.

2. Embrace the Material Design Guidelines:

Google's Material Design guidelines provide a comprehensive set of principles and guidelines for designing visually appealing and intuitive Android applications. Adhering to these guidelines ensures consistency, enhances usability, and delivers an optimal user experience.

3. Optimize App Performance:

Performance optimization is crucial for user satisfaction. Focus on optimizing app loading times, minimizing network requests, and implementing efficient caching mechanisms. Profiling tools like Android Profiler can help identify performance bottlenecks and improve overall app responsiveness.

4. Follow a Modular Approach:

Adopting a modular approach allows for easier maintenance, scalability, and code reusability. Breaking down your app into smaller, manageable modules promotes faster development, reduces dependencies, and enhances collaboration among developers.

5. Implement Responsive UI Designs:

Designing a responsive user interface (UI) ensures that your app adapts seamlessly to various screen sizes and orientations. Utilize Android’s resources, such as ConstraintLayout, to create dynamic and adaptive UIs that provide a consistent experience across different devices.

6. Prioritize Security:

Android app security is of paramount importance. Employ secure coding practices, authenticate user inputs, encrypt sensitive data, and regularly update libraries and dependencies to protect your app against vulnerabilities and potential attacks.

7. Opt for Kotlin as the Preferred Language:

Kotlin has gained immense popularity among Android developers due to its conciseness, null safety, and enhanced interoperability with existing Java code. Embrace Kotlin as the primary programming language for your Android app development projects to leverage its modern features and developer-friendly syntax.

8. Conduct Thorough Testing:

Testing is crucial to ensure the reliability and stability of your Android applications. Employ a combination of unit testing, integration testing, and automated UI testing using frameworks like Espresso to catch bugs early and deliver a robust app to your users.

9. Optimize Battery Consumption:

Battery life is a significant concern for Android users. Optimize your app's battery consumption by minimizing background processes, reducing network requests, and implementing efficient power management techniques. Android's Battery Optimization APIs can help streamline power usage.

10. Implement Continuous Integration and Delivery (CI/CD):

Adopting CI/CD practices facilitates frequent code integration, automated testing, and seamless deployment. Tools like Jenkins and Bitrise enable developers to automate build processes, run tests, and deploy app updates efficiently, resulting in faster time-to-market and improved quality.

11. Leverage Cloud Technologies:

Integrating cloud technologies, such as cloud storage and backend services, can enhance your app's scalability, performance, and reliability. Services like Firebase offer powerful tools for authentication, database management, push notifications, and analytics.

12. Ensure Accessibility:

Make your Android app accessible to users with disabilities by adhering to accessibility guidelines. Provide alternative text for images, support screen readers, and use colour contrast appropriately to ensure inclusivity and a positive user experience for all users.

13. Optimize App Size:

Large app sizes can deter users from downloading and installing your application. Optimize your app's size by eliminating unused resources, compressing images, and utilizing Android App Bundles to deliver optimized APKs based on device configurations.

14. Implement Offline Support:

Provide offline capabilities in your app to ensure users can access essential features and content even when offline. Implement local caching, synchronize data in the background, and notify users of limited or no connectivity to deliver a seamless user experience.

15. Implement Analytics and Crash Reporting:

Integrate analytics and crash reporting tools, such as Google Analytics and Firebase Crashlytics, to gain insights into user behaviour, identify areas for improvement, and address crashes promptly. This data-driven approach helps in refining your app's performance and user engagement.

16. Keep Up with Android OS Updates:

Stay up to date with the latest Android OS updates, new APIs, and platform features. Regularly update your app to leverage new functionalities, enhance performance, and ensure compatibility with newer devices.

17. Provide Localized Versions:

Cater to a global audience by providing localized versions of your app. Translate your app's content, user interface, and notifications into different languages to expand your user base and increase user engagement.

18. Ensure App Store Optimization (ASO):

Optimize your app's visibility and discoverability in the Google Play Store by utilizing appropriate keywords, engaging app descriptions, compelling screenshots, and positive user reviews. ASO techniques can significantly impact your app's download and conversion rates.

19. Follow Privacy Regulations and Guidelines:

Adhere to privacy regulations, such as GDPR and CCPA, and ensure transparent data handling practices within your app. Obtain user consent for data collection, storage, and usage, and provide clear privacy policies to establish trust with your users.

20. Regularly Update and Maintain Your App:

Continuously monitor user feedback, track app performance metrics, and release regular updates to address bugs, introduce new features, and enhance user experience. Regular maintenance ensures that your app remains relevant, competitive, and secure.

Conclusion:

Adopting these 20 best Android development practices in 2023 will help Android app development companies in India, create exceptional applications. By focusing on objectives, embracing Material Design, optimizing performance, and following modern development approaches, your Android apps will stand out in the market, delight users, and achieve long-term success. Also by partnering with an Android App Development Company in India (Gujarat, Vadodara) you can leverage their expertise.

#Android App development company in India #Android App development agencies in India #Android App development companies in India #Android App development company in Gujarat #Android App development company in Vadodara #Android App development agencies in Vadodara #Android App development agencies in Gujarat #Android App development companies in Vadodara #Android App development companies in Gujarat

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