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Unacademy aims to build the world's largest online knowledge repository for multi-lingual education. We use technology to empower great educators and create a community of self-learners. Our vision is to partner with the brightest minds and democratise education for everyone looking to learn. Join us in our journey to change the future of education. Visit us at unacademy.com **Follow us on:** twitter.com/unacademy facebook.com/unacademy youtube.com/user/unacademy instagram.com/unacademy blog.unacademy.com

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Understand the concept of Complete Biology Top 200 MCQs As Per Latest Pattern with NEET UG course curated by Anmol Sharma on Unacademy. The Biology course is delivered in Hinglish.

NEET UG - Complete Biology Top 200 MCQs As Per Latest Pattern Concepts Explained on Unacademy

Understand the concept of Complete Class 12th 200 MCQs As Per New Syllabus with NEET UG course curated by Anmol Sharma on Unacademy. The Biology course is delivered in Hinglish.

NEET UG - Complete Class 12th 200 MCQs As Per New Syllabus Concepts Explained on Unacademy

Understand the concept of Current Affairs MCQs 2nd May with Bank Exams course curated by Abhijeet Mishra on Unacademy. The Awareness course is delivered in Hindi.

Bank Exams - Current Affairs MCQs 2nd May Concepts Explained on Unacademy

Understand the concept of Top 1000 - NEET 2024 I Complete Biology with NEET UG course curated by Pranav Pundarik on Unacademy. The Biology course is delivered in Hinglish.

NEET UG - Top 1000 - NEET 2024 I Complete Biology Concepts Explained on Unacademy

Understand the concept of Complete Class 11th 200 MCQs As Per New Syllabus with NEET UG course curated by Anmol Sharma on Unacademy. The Biology course is delivered in Hinglish.

NEET UG - Complete Class 11th 200 MCQs As Per New Syllabus Concepts Explained on Unacademy

Understand the concept of Ecology &amp; Environment : Pollution-2 with UPSC CSE - GS course curated by Madhukar Kotawe on Unacademy. The Practice &amp; Strategy course is delivered in Hindi.

UPSC CSE - GS - Ecology & Environment : Pollution-2 Concepts Explained on Unacademy

After the world’s richest person Elon Musk acquired the micro-blogging platform Twitter for 44 billion dollars, he started his first day in the office by firing Twitter’s top executives, including CEO Parag Agrawal, Chief Financial Officer (CFO) Ned Segal, and legal affairs and policy chief Vijaya Gadde. Just a few days after that, he reportedly fired a whole team of Data Engineers. Within a week after, Chief Twit announced layoffs for half of all Twitter employees, which are about 3,700 employees out of 7,500. Unfortunately, Twitter is not the only giant to lay off its employees. The long list of companies sacking their employees includes Facebook’s parent company Meta, Google’s parent company Alphabet, Netflix, Byju’s, Microsoft, and many more. Meta has announced layoffs of more than 11,000 employees, which is 13 per cent of the company’s workforce. “Today I’m sharing some of the most difficult changes we’ve made in Meta’s history. I’ve decided to reduce the size of our team by about 13 per cent and let more than 11,000 of our talented employees go”, Meta co-founder Mark Zuckerberg, said in a message to the staff. Situations are similar in India. Around 15,708 people have lost their jobs. The Indian companies included unicorns like BYJU’S, Ola, Meesho, and MPL. The previous year, the Indian education platform Unacademy is reported to have laid off more than 1,000 employees. This year, US companies had around 45,000 employees laid off as of October 2022. Tencent also froze hiring as a measure of cost-cutting. The world's biggest e-commerce company Amazon Inc., has also announced the layoff of more than 10,000 employees. The unicorn startup Byjus announced it will lay off 2,500 employees, that is 5 percent of its workforce, over the next six months. The company is sacking around 2,500 of its 50,000 employees. What Is the Reason for Sacking Employees? Tech firms around the globe are fighting economic slowdowns. The slow consumer spending, higher interest rates by central banks, and strong dollars overseas are hinting toward a possible recession. As a result, tech firms including Alphabet, Meta, and Microsoft are laying off employees or freezing hiring. Recently, Indian IT companies including Wipro, Infosys, and TCS have fired hundreds of employees for moonlighting (simultaneously working for two or more companies). IT firms are worried that employees taking up secondary jobs after regular work hours will affect productivity, lead to conflicts of interest, and possibly data breaches. The most common reason for laying off employees is the pressure from investors and cost-reducing measures. Investors invest in companies in which they see growth potential. So, these companies are removing their excess employees to cut off their excess expenses, as these startups hired workers even when there was no immediate need for them. What’s Next for Those Who Have Lost Their Jobs? There is good news too, Twitter has reached out to its employees who were fired before to return to their positions. Some of those who are being asked to return were laid off by mistake, according to two people familiar with the moves. Others were let go before management realized that their work and experience may be required. It is not easy to get a new job during this time of economic crisis. Those who have lost jobs should invest their time in personal development and skills improvement and should regularly practice. For example, if you design UI, you must keep prpractisingour skills so that when you get time to apply for a new job, you perform better than others. You can also learn something new, if you are good at frontend development, try learning backend development. Remember to keep looking for new job offers on LinkedIn. Tech giants’ employees are likely to be hired by small startups as they have lots of experience. Also published . here

Tech Giants are Laying off Thousands of People. Why?

The biggest question you should ask yourself before read further is "What is coding?". So coding is the process of assigning a code to something for classification or identification. Basically there are 3 levels of coding: Beginner Intermediate Expert So, let's start the journey with some gaming and believe me you will learn a lot through these games. Yes, Definitely coding. CodeMonkey CodeMonkey is a fun and educational game-based environment where kids learn to code without any prior experience. After completing CodeMonkey's award-winning coding courses, kids will be able to navigate through the programming world with a sense of confidence and accomplishment. CODEWARS Codewars is an educational community for . On the platform, software developers train on programming challenges known as . These discrete programming exercises train a range of skills in a variety of programming languages, and are completed within an online . computer programming kata integrated development environment On Codewars the community and challenge progression is , with users earning ranks and honor for completing kata, contributing kata, and quality solutions. gamified So, as you have played some games , now you can jump on some  Coding websites. BEGINNER 1.GEEKSFORGEEKS GeeksforGeeks was created with a goal in mind to provide well written, well thought and well-explained solutions for selected questions. The core team of five super geeks constituting of technology lovers and computer science enthusiasts have been constantly working in this direction. 2.HackerRank HackerRank is a place where programmers from all over the world come together to solve problems in a wide range of Computer Science domains such as algorithms, machine learning, or artificial intelligence, as well as to practice different programming paradigms like functional programming. INTERMEDIATE 1. HACKEREARTH HackerEarth provides enterprise software that helps organisations with their technical hiring needs. HackerEarth is used by organizations for technical skill assessment and remote video interviewing. In addition to that HackerEarth also has a community and since inception built a base of 4M+ developers. In the community, HackerEarth is known for having conducted 1000+ and 10,000+ to date. hackathons programming challenges HackerEarth has raised $11.5 million in funding over three rounds[3]. Today, more than 750 customers worldwide use its technical coding assessments platform, including Amazon, Walmart Labs, Thoughtworks, Societe Generale, HP, VMware, DBS, HCL, GE, Wipro, Barclays, Pitney Bowes, Intel, and L&T Infotech.HackerEarth is backed by GSF Global and Angelprime. [6] 2.LEETCODE It’s a website where people–mostly software engineers–practice their coding skills. There are 800+ questions (and growing), each with multiple solutions. Questions are ranked by level of difficulty: easy, medium, and hard. Similar websites include HackerRank, Topcoder, InterviewBit, among others. There’s also a popular book, “Cracking the Coding Interview,” which some call the Bible for engineers. The Blind community uses a mix of these resources, but based on mentions, LeetCode seems to be the most popular. Our active users cite the following reasons for preferring LeetCode: more questions, better quality, plus a strong user base. EXPERT 1.CODEFORCES Codeforces is a website that hosts contests. It is maintained by a group of competitive programmers from led by Mikhail Mirzayanov. Since 2013, Codeforces claims to surpass Topcoder in terms of active contestants. As of 2018, it has over 600,000 registered users. Codeforces along with other similar websites are used by top sport programmers like Gennady Korotkevich, Petr Mitrichev, Benjamin Qi and Makoto Soejima, and by other programmers interested in furthering their careers. competitive programming ITMO University 2.CODECHEF CodeChef is a competitive programming community of programmers from across the globe. CodeChef was started as an educational initiative in the year 2009 by Directi, an Indian software company. Apart from its monthly coding contests for the community, CodeChef has many initiatives for Schools, Colleges and Women in competitive programming. CodeChef is credited with hosting the India regionals of the prestigious ICPC for college students, as well as for IOI for school students in India. In 2020, CodeChef’s custodianship was changed from Directi (founded by Bhavin Turakhia) to (Gaurav Munjal, CEO). CodeChef and its various initiatives have been managed and run by its Business Unit Head Anup Kalbalia. Unacademy CONCLUSION That's all for today. The coding levels are divided by me on my personal opinion. I have personally visited and tried problems on all these sites. Coding is like an art. It requires patience and hard work. Going step-by-step is the best method. ALL THE BEST AND KEEP CODING!

Coding Games and Websites to Help You Learn Programming

Educational Institutes are easy prey for hackers to compromise and covertly launch Cyber Attacks/Malicious Campaigns under the hood, without divulging their real identity. This is majorly due to the reckless attitude of IT Administrators towards their Network Assets as the software programs (which are being used in the production) need to undergo several patches/updates to mitigate any exposed risk. School of Villains by Naolito | Source: DeviantArt Here, we are going to discuss each Threat Vectors where Educational Institutes are being targeted and being used for possible malicious campaigns or exploitation. DATABASE TRADING It is notable that there is a significant rise of “ ” detected on various underground hacking forums or DarkNet Marketplaces during this pandemic (COVID-19). The and are bagging huge amounts (in the form of Cryptocurrency) into their Hot or Cold wallets. Database Trading compromised databases (University/Schools) are being sold on different underground forums Student Record of Brazil advertised in Raid Forum Compromised FTP Servers of Academic Sites The above-listed screenshots are just an example to back the statement for Database Trading at large ( ) and sometimes, it is distributed for free on such communities. if you note the Timestamps It is also important to note that the Online Educational Platforms are also being targeted on a continual basis. One of the largest breaches was the compromise of an Online learning Platform “ ” that got hacked and put for sale on Dark Web Marketplace in May, 2020. Unacademy for $2,000 consisting of 22M Userbase Advertised in Empire Market Note : The Empire Market (Dark Web Marketplace) had gone exit scammed in August 2020, after a long standing for 3 years. Another Indian Tutor website “ ” observed a data breach in 2019, . Vedantu exposing ~700K Student/Tutor Records EDUCATIONAL INFRASTRUCTURE FOR SALE It is common to find the vulnerable/open systems (Academic Infra) among the listing with other compromised servers in the Cyber Criminal Black Markets, but uncommon for the general public. Adversaries gain access to such systems using various methods like Spear Phishing Emails, Open RDP Access, Unprotected Elastic Servers etc. It is a common practice among criminals to conceal their presence (in the victim environment) after compromising the targeted systems, prevailing a backdoor access for extended network access(commonly called Lateral Movement) in order to sell the same on various Marketplaces. Some of the smooth offerings made in this arena are:- Webmail CPAnel Access Microsoft Webmail O365 Access Cpanel Access of various Educational Institutes across the globe Microsoft O365 Domain Accounts for Sale While offering the offensive services, it is remarkable that the hackers/adversaries are redefining their rules of etiquette by providing the legitimacy of the sources like , hence showcasing a professional line. The proves that the listed hacked accounts are recent, which again amplifies the trust factor for the Exploit Seekers. whether the listed assets are in working condition timestamps : Once the actor gains access to the University Infrastructure (such as Email), the same can be against any entity, as Educational Domains are (generally) not included in any of the Blacklist, hence clearing the initial level of defense (traffic from blacklisted IPs are usually blocked). This can also be used for , hence leveraging access to any restricted system (which is being defined via admin policies). Outcome used to launch a Spear Phishing Email Campaigns Impersonation Attacks DOMAIN LIST OFFERING[.EDU] Another kind of novice threat to the Academic Domain is the selling of a large number of Educational Domain lists, hence narrowing down the effort of hackers to find vulnerable systems. Domain Sale Once identified, the actor can scan for the targeted network look for the unsecured Ports/Services, mirroring the website, Exploiting the Weaknesses (in case of unpatched), Gaining Unauthorized Access, Stealthy Integration to a Bot Army (Botnet), Launch DDoS and any imaginable Cyber Destruction. — Note: This threat is not only pertaining to the Educational domain, but also affects other TLDs and Country-Specific TLDs. CREDENTIAL LEAK FROM EDU-PLATFORMS There are ample Credential leaks for Online Educational Platforms (or MOOCs) surfaced on Deep Web, which are being captured by various methods such as etc. and are shared on various Deep Web channels. Keylogging, Spyware Activity, Running Malicious Stealthy Programs, Below is a list of Email-Password combination of Udemy Accounts which appeared on a Turkish forum:- Udemy Accounts listed for free Here is another listing of found on an individual blog:- Username-Password Combo for Code Academy Accounts CodeAcademy Account Credentials It is notable that the passwords are in plain-text which would facilitate adversaries to launch a on various digital platforms of the targeted individual. Password-Spraying Attack There are various dedicated checker programs available for each Educational Platform such as etc. Udemy, CodeAcademy, Coursera Checker Program found for Code Academy Note : Checker Programs are used by attackers to launch Brute Force logins on multiple platforms to check whether the acquired credentials are in working state or not. Similarly, there are various cracked Academic Programs which are being offered for cheaper prices on the Underground Dark Web Marketplaces. Premium Courses offered at cheaper prices As the education is provided for cheaper or free, it can be considered as a Robinhood Act, but cracking into the personal accounts are not justifiable. ATTACKS— RISE OF RANSOMWARE INFECTION & HACKTIVISM It is an undeniable fact that there are many prestigious Academic Institutes hit by numerous ransomware programs at different timelines. By closely inspecting the same fact, it is evident that Ransomware Attacks seen a sudden uptick since 2016; as the victims became ready for the negotiation offered by the hackers in order to recover the files, by paying the ransom. This ignited the interest of attackers and began to invest more resources for the Ransomware Programs. : Now, you may know several RaaS (Ransomware as a Service) programs like along with major Ransomware Gangs like and their experimental business strategies like etc. Outcome Smaug, GandCrab, Project Root Maze, Clop, Netwalker, Nefilim, REvil, Snake Live Data Auction, Storage as a Service, Affiliate Programs, Feedback Collection Here is a list of few Universities who had paid Ransomware Operators to gain back the compromised data:- UNIVERSITY OF CALGARY — 2016 — Paid $20,000 HORRY COUNTY SCHOOL DIST. — 2017 — Paid $8,500 LOS ANGELES VALLEY COLLEGE — 2017 — Paid $30,000 UNIVERSITY OF MAASTRICHT — 2020 — Paid $220,000 UNIVERSITY OF UTAH — 2020 — Paid $457,059 to Netwalker (Suspected) UNIVERSITY OF CALIFORNIA — 2020 — Paid $1.14M to Netwalker MAYNOOTH UNIVERSITY — 2020 — Paid Undisclosed Amount UNIVERSITY HOSPITAL NEW JERSEY — 2020 — Paid $670,000 to SunCrypt It is also interesting to note that the took place recently (May 2020) that compromised more than 10 Universities from the UK, US and Canada. BlackBaud Hack Note : BlackBaud is a Cloud Hosting Provider majorly used by Educational Institutes and various Non-Profit Organizations. Here is a of Educational Institutes who were hit by various Ransomwares in 2020. list The Hacking Campaigns orchestrated by APT Groups such as (Iran) against Global Universities is the that the attacks against Educational Institutes are on a rise. Silent Librarian newest evidence Nowadays, though many institutes are aided by ( is one such), it would be a healthy practice to patch up the old legacy tools in order to keep the cyber attacks at a bay. Cyber Extortion Insurances Cyber Extortion Coverage from IRMI KEY-TAKEAWAYS > Quick fix to the Open/Unsecured ports, especially RDP and Elastic/Mongo > Never to fall for any phishing email attachments/links > Not to blindly trust request coming from EDU Domains > Disown the used passwords in Educational Moocs Platform > Regular Data Backup > Isolate the Mirror/Backup Archives from Mainframe Systems > Never pay demanded ransom, in case of Ransomware Attack The largest IoT Botnet “ ” brought down various online services such as etc was created in a . Mirai OVH, Netflix, Spotify, PayPal University Dorm Room So, Dear Sys-Admins! Never under-estimate the power of Educational Platforms!!! Follow me on for interesting DarkWeb/InfoSec Short findings! ;-) Twitter Note:- The Article is purely an Individual Research and is not subjected to be used/published anywhere without the Author’s consent.

Why Educational Platforms are a Favorite Target Among Attackers?

This Side of Paradise: Book I, Chapter III - The Egotist Considers

Complexity Science is NOT a New Science. Complexity Science is Evolutionary Ecology. Evolutionary Ecology = Math x Biology xkcd Complexity Science can be expressed in Mathematical and Biological (and therefore Evolutionary Ecological terms). xkcd If only you studied your subjects up close. UnicornLaunching Launches Unicorns Worth Launching Understand the Overlap of Evolutionary Ecology & Complexity Science & Category Theory Taking Insults to the Next Level Taking Insults to the Next Level The Scientist Who Made Alfred North Whitehead Cool Again The Master of Category Theory, Bartosz Milewski The Father of Clojure, Rich Hickey EVOLUTIONARY ECOLOGY X MATH IN ACTION Connect with Rraj Join the Discussion _Professor Gerald Midgley's staff profile_www.hull.ac.uk Professor Gerald Midgley _The Ecology of Systems Thinking has 6,206 members. The Ecology of Systems Thinking is a discussion forum for systems…_www.facebook.com The Ecology of Systems Thinking _Academia.edu is a place to share and follow research._uc.academia.edu Alex Kara | University of Cincinnati - Academia.edu _Learn about working at UnicornLaunching. Join LinkedIn today for free. See who you know at UnicornLaunching, leverage…_www.linkedin.com UnicornLaunching | LinkedIn _In academic work, please cite this book as: Michael A. Nielsen, "Neural Networks and Deep Learning", Determination…_neuralnetworksanddeeplearning.com Neural networks and deep learning “Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data” — Michael A Nielson Proof? Category Theory is a ‘Queen of Mathematics’ that enables us to prove the relationships between Sets in Biology and Sets in Math with Sets from everyday life, from distributed consensus protocols to ad-conversion. If anything, it would appear that Category Theory is an invention whose Environment (The Fourth Industrial Revolution & Fabric) has come (about). We finally have the Human and IoT Data we need to understand what’s happening in our world at the assembly level. Turns out that assembly is written in math and biology. Conway’s law is an adage named after computer programmer Melvin Conway, who introduced the idea in 1967. It states that “organizations which design systems … are constrained to produce designs which are copies of the communication structures of these organizations.” — M. Conway (Wikipedia)

Complexity Science is NOT a New Science

The Crypto Lobby Seeks to Influence US Politics: A Peek at Their Smear Campaign and False Narrative

I have been professionally involved in DeFi for 8 years (as a researcher, LP and advanced user). Today, I would like to talk about one of the major trends of 2023 - restaking. For this, I will try to go step by step, rather than giving the 1001st description of the general processes, of which there are so many in Google search results. So you have ETH, what's next? Let's imagine you have 1 ETH. Not bad. Is its price increasing? In the medium and long term - yes, but in the short term - not always: What to do? The most conservative strategy in this case is HODL, but in this case, DeFi is not yet in the picture. Liquid Staking The next step is liquid staking. To get straight to the point, Ethereum, like many other projects, is now PoS (Proof-of-Stake), which means? It means validators or other super-nodes receive rewards. Since that's the case, these rewards can be... tokenized, turning them into a separate financial instrument (derivative). This is exactly what Lido, Rocket Pool, and a number of other projects have done (today their total number has exceeded a hundred, although barely 10 are truly active): I always use Lido as an example, but only because they are the largest. If you, like me, prefer more decentralization, then Rocket Pool is the right and precise choice. The APR for stETH today is 3%-3.5% (Lido), but at the beginning of the transition era, it was over 10%: No super-knowledge is needed for liquid staking: Go to the page: stake.lido.fi;
Authorize with your wallet (Metamask or something else - it doesn't matter);
Stake ETH as the base asset and receive a first-order derivative - stETH. A few life hacks right away: Learn to check any asset/project through at least 2-3 sources:

My 1st source is pro.similarweb.com: you can quickly check the traffic and when the site became active to avoid obvious scams (you can also add a who-is check here);
The 2d source is coinmarketcap.com: any aggregator will do, the main thing is that it updates promptly;
The 3d source is any search engine without subjective filtering;



Always carefully research the economic conditions (DYOR) during your first transactions:

What is the base and derivative asset worth?
What is the provider's fee?
What is the gas price (even in cheap networks, failures are not uncommon)?
Do the APR/APY figures match the stated ones (you can check on the same aggregators)?



And always scroll through the news feed: blockchain solutions are rarely hacked, but DNS attacks, simple phishing sites, and other issues happen much more often, as there are always two vulnerable links in decentralized Web3:

centralized intermediary services;
you → the person. So, you have received the long-awaited stETH, and now your yield on ETH is 3% per year or more. Is that a little? Yes, but it's in ETH, and as we remember, it can rise from $0.03 to $4500 or more. And this is our main hope. But can the yield be increased further? Yes, it can! Restaking "This is a new onchain primitive similar to rehypothecation, allowing either natively staked ETH or Liquid Staking Tokens (LSTs) to be restaked in return for additional yield". So, let's immediately see how this works in practice. We go to kelpdao.xyz and stake the 1 stETH we obtained earlier: And again: Don't be lazy and study the protocol audit: audits themselves may not help much, but it's worse when they're absent;
Look at APY/APR: that's why you came here;
And then the operation is the same as before: input the base asset (now stETH) and receive the derivative (rsETH). You can also try EtherFI, Renzo protocol and others: it depends more on current rates and your imagination. Life hack: never put 1 to 1. In the sense that if you're going up the ladder of complex derivatives, it's better to go like this: 1 ETH => split into 0.8 & 0.2: leave 0.2 in ETH, and convert 0.8 into stETH; Then divide 0.8 stETH again into 80% and 20% (any slippages, differences in rates, included rewards - keep in parentheses) and so on. Why all this complexity? Because: Protocols get hacked;
Individual pools get hacked too;
Even individual assets. And don't forget to remove unnecessary approvals through scanners or special services like cointool.app. So, we've progressed: From a hypothetical 0% APR on ETH to 3% in stETH;
And then, with the specific implementation of restaking in Kelp DAO - up to 4.28% (don't rush to add percentages, as there are many pitfalls here). What's next? Remember that diversification is decentralization and try to allocate 80% of 0.8 (0.64) stETH through various protocols, for example: ETHERfi;
Renzo;
Kelp;
Swell. In total, we get 0.64/4 = 0.16 for each service. But you are free to act as you wish and, by accumulating loans in AAVE, invest not a part of the whole, but the whole plus a part. Is this risky? Yes. But DeFi endures everything. Can you achieve even higher returns? Yes, but first - some more life hacks: Don't forget about bonuses (via airdrops) from EigenLayer and protocols (like Kelp, calculating points for a reason), which also add to your profitability;
You can continue using the assets in DeFi, which also adds extra income (though no one can guarantee it);
Finally, don't forget about cross-chain arbitrage: you can always look for a new network and try to bridge (transfer) your assets - currently possible on Scroll, where different restaking derivatives earn so-called marks. And yet, what about ETH itself: can you do something more to improve profitability? The short answer is yes, but implementing this answer is not as simple as it seems. The magical Pendle In fact, there are several services like this, including Asymetrix, but for brevity, I'll focus on Pendle specifically: especially since it has proven itself quite well in the past year (although everyone has their mishaps). And again - headfirst into practice: On the main page, select the asset you need (initially set the mode to simple: once you understand it, you can start experimenting with YT & PT), check the APR/APY, if it suits you - proceed to its staking page: Carefully and as capable as you can, read the terms and lock your assets: again, the choice of percentage is up to you, but I would recommend (if I could) starting with at least an 80/20 strategy everywhere. That's it, now you've learned how to hedge your bet on a complex derivative. It sounds strange, but it's true. Want more? Well, don't linger and follow the primary source: pendle.gitbook.io/pendle-academy. The position will look something like this: So, from zero, we can pull out approximately 7%-10% annually (in the worst case, 4-7%) in ETH, which is already quite substantial. But that's not all. Take another look at the scheme we've walked through: Conclusion Undoubtedly, the presented scheme can be both simplified and made more complex. Moreover, different services (projects) can be used at different stages. However, the main point is that the described scheme is universal in theory on the one hand, and on the other hand, it is implemented in quite specific practice. If this post sparks interest, I will continue. But for today, that's all from me and Ch33r$! I have been professionally involved in DeFi for 8 years (as a researcher, LP and advanced user). Today, I would like to talk about one of the major trends of 2023 - restaking . For this, I will try to go step by step, rather than giving the 1001st description of the general processes, of which there are so many in Google search results. restaking description So you have ETH, what's next? So you have ETH, what's next? Let's imagine you have 1 ETH. Not bad. Is its price increasing? In the medium and long term - yes , but in the short term - not always: yes but What to do? The most conservative strategy in this case is HODL , but in this case, DeFi is not yet in the picture. What to do? HODL Liquid Staking Liquid Staking The next step is liquid staking . To get straight to the point, Ethereum , like many other projects, is now PoS (Proof-of-Stake), which means? It means validators or other super-nodes receive rewards. Since that's the case, these rewards can be... tokenized , turning them into a separate financial instrument ( derivative ). This is exactly what Lido, Rocket Pool, and a number of other projects have done (today their total number has exceeded a hundred, although barely 10 are truly active): liquid staking Ethereum PoS tokenized derivative I always use Lido as an example, but only because they are the largest. If you, like me, prefer more decentralization, then Rocket Pool is the right and precise choice. The APR for stETH today is 3%-3.5% (Lido), but at the beginning of the transition era, it was over 10%: APR No super-knowledge is needed for liquid staking: Go to the page: stake.lido.fi; Authorize with your wallet (Metamask or something else - it doesn't matter); Stake ETH as the base asset and receive a first-order derivative - stETH. Go to the page: stake.lido.fi ; stake.lido.fi Authorize with your wallet ( Metamask or something else - it doesn't matter); Metamask Stake ETH as the base asset and receive a first-order derivative - stETH . stETH A few life hacks right away: Learn to check any asset/project through at least 2-3 sources:

My 1st source is pro.similarweb.com: you can quickly check the traffic and when the site became active to avoid obvious scams (you can also add a who-is check here);
The 2d source is coinmarketcap.com: any aggregator will do, the main thing is that it updates promptly;
The 3d source is any search engine without subjective filtering; Always carefully research the economic conditions (DYOR) during your first transactions:

What is the base and derivative asset worth?
What is the provider's fee?
What is the gas price (even in cheap networks, failures are not uncommon)?
Do the APR/APY figures match the stated ones (you can check on the same aggregators)? And always scroll through the news feed: blockchain solutions are rarely hacked, but DNS attacks, simple phishing sites, and other issues happen much more often, as there are always two vulnerable links in decentralized Web3:

centralized intermediary services;
you → the person. Learn to check any asset/project through at least 2-3 sources: My 1st source is pro.similarweb.com: you can quickly check the traffic and when the site became active to avoid obvious scams (you can also add a who-is check here);
The 2d source is coinmarketcap.com: any aggregator will do, the main thing is that it updates promptly;
The 3d source is any search engine without subjective filtering; Learn to check any asset/project through at least 2-3 sources : Learn to check any asset/project through at least 2-3 sources My 1st source is pro.similarweb.com: you can quickly check the traffic and when the site became active to avoid obvious scams (you can also add a who-is check here); The 2d source is coinmarketcap.com: any aggregator will do, the main thing is that it updates promptly; The 3d source is any search engine without subjective filtering; My 1st source is pro.similarweb.com : you can quickly check the traffic and when the site became active to avoid obvious scams (you can also add a who-is check here ); pro.similarweb.com here The 2d source is coinmarketcap.com : any aggregator will do, the main thing is that it updates promptly; coinmarketcap.com The 3d source is any search engine without subjective filtering; Always carefully research the economic conditions (DYOR) during your first transactions: What is the base and derivative asset worth?
What is the provider's fee?
What is the gas price (even in cheap networks, failures are not uncommon)?
Do the APR/APY figures match the stated ones (you can check on the same aggregators)? Always carefully research the economic conditions ( DYOR ) during your first transactions: Always carefully research the economic conditions DYOR What is the base and derivative asset worth? What is the provider's fee? What is the gas price (even in cheap networks, failures are not uncommon)? Do the APR/APY figures match the stated ones (you can check on the same aggregators)? What is the base and derivative asset worth? What is the provider's fee? What is the gas price (even in cheap networks, failures are not uncommon)? Do the APR/APY figures match the stated ones (you can check on the same aggregators)? And always scroll through the news feed: blockchain solutions are rarely hacked, but DNS attacks, simple phishing sites, and other issues happen much more often, as there are always two vulnerable links in decentralized Web3: centralized intermediary services;
you → the person. And always scroll through the news feed : blockchain solutions are rarely hacked, but DNS attacks, simple phishing sites, and other issues happen much more often, as there are always two vulnerable links in decentralized Web3: And always scroll through the news feed centralized intermediary services; you → the person. centralized intermediary services; you → the person. So, you have received the long-awaited stETH, and now your yield on ETH is 3% per year or more. Is that a little? Yes, but it's in ETH, and as we remember, it can rise from $0.03 to $4500 or more. And this is our main hope . But can the yield be increased further? Yes, it can! hope Restaking Restaking " This is a new onchain primitive similar to rehypothecation, allowing either natively staked ETH or Liquid Staking Tokens (LSTs) to be restaked in return for additional yield ". So, let's immediately see how this works in practice. We go to kelpdao.xyz and stake the 1 stETH we obtained earlier: This allowing either natively staked ETH or Liquid Staking Tokens (LSTs) to be restaked in return for additional yield kelpdao.xyz And again: Don't be lazy and study the protocol audit: audits themselves may not help much, but it's worse when they're absent; Look at APY/APR: that's why you came here; And then the operation is the same as before: input the base asset (now stETH) and receive the derivative (rsETH). Don't be lazy and study the protocol audit : audits themselves may not help much, but it's worse when they're absent; Don't be lazy and study the protocol audit Look at APY/APR : that's why you came here; Look at APY/APR And then the operation is the same as before : input the base asset (now stETH) and receive the derivative (rsETH). And then the operation is the same as before You can also try EtherFI , Renzo protocol and others: it depends more on current rates and your imagination. Life hack: never put 1 to 1. In the sense that if you're going up the ladder of complex derivatives, it's better to go like this: 1 ETH => split into 0.8 & 0.2 : leave 0.2 in ETH, and convert 0.8 into stETH; Then divide 0.8 stETH again into 80% and 20% (any slippages, differences in rates, included rewards - keep in parentheses) and so on. EtherFI Renzo protocol Life hack: split into 0.8 & 0.2 Why all this complexity? Because: Why all this complexity? Protocols get hacked; Individual pools get hacked too; Even individual assets. Protocols get hacked; Individual pools get hacked too; Even individual assets. And don't forget to remove unnecessary approvals through scanners or special services like cointool.app . cointool.app So, we've progressed : So, we've progressed From a hypothetical 0% APR on ETH to 3% in stETH; And then, with the specific implementation of restaking in Kelp DAO - up to 4.28% (don't rush to add percentages, as there are many pitfalls here). From a hypothetical 0% APR on ETH to 3% in stETH; And then, with the specific implementation of restaking in Kelp DAO - up to 4.28% (don't rush to add percentages, as there are many pitfalls here). 4.28% What's next? What's next? Remember that diversification is decentralization and try to allocate 80% of 0.8 (0.64) stETH through various protocols, for example: ETHERfi; Renzo; Kelp; Swell. ETHERfi; Renzo; Kelp; Swell. In total, we get 0.64/4 = 0.16 for each service. But you are free to act as you wish and, by accumulating loans in AAVE, invest not a part of the whole, but the whole plus a part. Is this risky? Yes. But DeFi endures everything . DeFi endures everything Can you achieve even higher returns? Yes, but first - some more life hacks: Don't forget about bonuses (via airdrops) from EigenLayer and protocols (like Kelp, calculating points for a reason), which also add to your profitability; You can continue using the assets in DeFi, which also adds extra income (though no one can guarantee it); Finally, don't forget about cross-chain arbitrage: you can always look for a new network and try to bridge (transfer) your assets - currently possible on Scroll, where different restaking derivatives earn so-called marks. Don't forget about bonuses (via airdrops ) from EigenLayer and protocols (like Kelp, calculating points for a reason), which also add to your profitability; Don't forget about bonuses airdrops You can continue using the assets in DeFi , which also adds extra income (though no one can guarantee it); You can continue using the assets in DeFi Finally, don't forget about cross-chain arbitrage : you can always look for a new network and try to bridge (transfer) your assets - currently possible on Scroll, where different restaking derivatives earn so-called marks. Finally, don't forget about cross-chain arbitrage And yet, what about ETH itself: can you do something more to improve profitability? The short answer is yes, but implementing this answer is not as simple as it seems. The magical Pendle The magical Pendle In fact, there are several services like this, including Asymetrix, but for brevity, I'll focus on Pendle specifically: especially since it has proven itself quite well in the past year (although everyone has their mishaps). And again - headfirst into practice: On the main page, select the asset you need (initially set the mode to simple: once you understand it, you can start experimenting with YT & PT), check the APR/APY, if it suits you - proceed to its staking page: Carefully and as capable as you can, read the terms and lock your assets: again, the choice of percentage is up to you, but I would recommend (if I could) starting with at least an 80/20 strategy everywhere. That's it, now you've learned how to hedge your bet on a complex derivative. It sounds strange, but it's true. Want more? Well, don't linger and follow the primary source: pendle.gitbook.io/pendle-academy . The position will look something like this: pendle.gitbook.io/pendle-academy So, from zero, we can pull out approximately 7%-10% annually (in the worst case, 4-7%) in ETH, which is already quite substantial. But that's not all. Take another look at the scheme we've walked through: approximately 7%-10% annually (in the worst case, 4-7%) Conclusion Conclusion Undoubtedly, the presented scheme can be both simplified and made more complex. Moreover, different services (projects) can be used at different stages. However, the main point is that the described scheme is universal in theory on the one hand, and on the other hand, it is implemented in quite specific practice. If this post sparks interest, I will continue. But for today, that's all from me and Ch33r$! Ch33r$!

Restaking Step-by-step

ধাপে ধাপে রিস্ট্যাকিং

Umstecken Schritt für Schritt

Retomando paso a paso

Reprise étape par étape

चरण-दर-चरण रीस्टेकिंग

再ステーキングの手順

단계별 재취업

Refazendo passo a passo

Перестановка шаг за шагом

Adım Adım Yeniden Stake Etme

Đặt lại từng bước

重新抵押步骤

In the dynamic landscape of web development, staying ahead is key to success. Certifications serve as powerful tools, validating your expertise. Certifications also demonstrate your commitment to continuous learning, a trait highly valued in the tech industry. Whether you're a beginner or an experienced professional, this article will equip you with insights into 26 valuable front-end certifications, from HTML and CSS to JavaScript and the most common JS frameworks. I've provided brief descriptions to give you a quick overview of each, as well as direct links for easier access. Hopefully, you will get a lot of value from this! 🌱 HTML + CSS 1. Introduction to Front-End Development This introductory course will help you learn front-end development from scratch as well as the important tools and technologies in it. 👉 https://www.simplilearn.com/front-end-developer-free-course-skillup 2. Front-End Development - HTML Learn front-end development for free to gain fundamental knowledge of HTML and kick-start your Front front-end development career. 👉 https://www.mygreatlearning.com/academy/learn-for-free/courses/front-end-development-html 3. CSS, CSS Box Model, and CSS Projects This CSS Tutorial gives you an introduction to CSS, CSS Box Model, and CSS Projects. 👉 https://www.mygreatlearning.com/academy/learn-for-free/courses/css-tutorial 4. CSS Essential Training In this hands-on course, you will learn the concepts that form the foundation of CSS, explaining what you need to know to tweak existing CSS and write your own. 👉 https://www.linkedin.com/learning/css-essential-training-revision-q4-2019 5. Modern HTML & CSS (Including SASS) Build modern responsive websites & UIs with HTML5, CSS3 & Sass! Learn Flex & CSS Grid. 👉 https://www.udemy.com/course/modern-html-css-from-the-beginning 6. CSS - The Complete Guide Learn CSS for the first time, brush up your CSS skills, and dive in even more. 👉 https://www.udemy.com/course/css-the-complete-guide-incl-flexbox-grid-sass/ 7. Responsive Web Design You'll learn the languages that developers use to build web: HTML for content, and CSS for design. 👉 https://www.freecodecamp.org/learn/2022/responsive-web-design/ 8. CSS Skills Certification Test The test covers topics like exploring Cascading and Inheritance, exploring text styling fundamentals, understanding the use of layouts, and the boxing of elements, among others. 👉 https://www.hackerrank.com/skills-verification/css 🚀 JavaScript 9. Introduction to JavaScript This course will introduce you to the basics of the JavaScript programming language and the platforms used to code the language. 👉 https://www.mygreatlearning.com/academy/learn-for-free/courses/introduction-to-javascript 10. Learn Javascript Basics You will learn skills to build simple programs and web applications and customize web pages. 👉 https://www.simplilearn.com/learn-javascript-basics-free-course-skillup 11. JavaScript Algorithms and Data Structures You'll learn the fundamentals of JavaScript, such as variables, arrays, objects, loops, and functions. You'll put that knowledge to use by writing algorithms to manipulate strings, factorial numbers, etc. 👉 https://www.freecodecamp.org/learn/javascript-algorithms-and-data-structures/ 12. JavaScript Essentials 1 (JSE) Learn the essentials of JavaScript and computer programming. Learn how interactive web and mobile apps are created with JavaScript – and learn to program your own. 👉 https://www.netacad.com/courses/programming/javascript-essentials-1 13. JavaScript Projects This course will guide you through three apps that will help you develop similar ones in the future. 👉 https://www.mygreatlearning.com/academy/learn-for-free/courses/javascript-projects 14. Learn to program with JavaScript Build a strong foundation in web development by learning JavaScript, one of the major programming languages on the web. 👉 https://openclassrooms.com/en/courses/5664271-learn-programming-with-javascript 15. JavaScript Essential Training Through practical examples and mini-projects, you will boost your understanding of JS piece by piece, from core principles like variables, data types, conditionals, and functions through advanced topics including loops, closures, and DOM scripting. 👉 https://www.linkedin.com/learning/javascript-essential-training-3/welcome 16. JavaScript Skills Certification Test (Basic) The test covers topics like Functions, Currying, Hoisting, Scope, Inheritance, Events, and Error Handling. 👉 https://www.hackerrank.com/skills-verification/javascript_basic 17. JavaScript Skills Certification Test (Intermediate) The test covers topics like Design Patterns, Memory management, concurrency models, and event loops. 👉 https://www.hackerrank.com/skills-verification/javascript_intermediate ⚛️ React JS 18. React JS for Beginners This course is taught hands-on by experts. Learn prerequisites of HTML, CSS, and Javascript. Also, learn to create a React App. 👉 https://www.mygreatlearning.com/academy/learn-for-free/courses/react-js-tutorial 19. React JavaScript - Fundamentals to Coding You will learn to set up your first React environment, components, keys, and props. It also discusses folder structure, CSS styling, and React operators. 👉 https://alison.com/course/react-javascript-fundamentals-to-coding-and-new-beginnings 20. Front-End Development Libraries You'll learn how to add logic to your CSS styles, extend them with Sass, and work with Bootstrap. Later, you'll build a shopping cart and other applications to learn how to create powerful SPAs with React and Redux. 👉 https://www.freecodecamp.org/learn/front-end-development-libraries/ 21. React Essential Training You will learn how to set up Chrome tools for React; create new components; work with the built-in Hooks in React; use the Create React App to run tests and more. 👉 https://www.linkedin.com/learning/react-js-essential-training-14836121 22. React Skills Certification Test The test covers topics like Basic Routing, Rendering Elements, State Management (Internal Component State), Handling Events, ES6 and JavaScript, and Form Validation. 👉 https://www.hackerrank.com/skills-verification/react_basic 💚 Vue JS 23. Introduction to Vue JS Framework This course is designed for beginning learners, providing a solid foundation of basic skills in VueJS. Learners will build an understanding of the creative process of designing as well. 👉 https://www.coursera.org/learn/codio-introduction-to-vuejs-framework 24. Vue JS Essential Training Learn how to use Vue.js to develop well-structured apps. Explore the features of this lightweight framework, including the library, templates, classes, objects, arrays, styles, and more. 👉 https://www.linkedin.com/learning/vue-js-3-essential-training 25. Vue JS Certifications (Junior vs Senior) The official certification of competence for the Vue.js Framework. Examination question sets and coding challenges are reviewed by Evan You, creator of Vue.js. 👉 https://certificates.dev/vuejs/ 26. Vue JS Certification Exam The certification provides a way for developers to demonstrate their proficiency in Vue.js to employers and clients. The program is offered by Vue Academy. 👉 https://www.vueacademy.ca/certification Did you like the resources? 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The 26 Frontend Certifications You Need to Go From a Good Web Developer to a GREAT Web Developer 🔥

Silicon Valley Bank (SVB) once managed over $200 billion in assets and served as the primary bank for many tech startups. However, in a rapid succession of events, the bank collapsed in March 2023, leaving many on both sides of the pond reeling. More than 200 UK startup entrepreneurs have written to Chancellor Jeremy Hunt warning that SVB UK's insolvency poses an ‘existential threat to the UK tech sector’. "Like everyone else, we're worried about how I'm going to make payroll at the end of the month". - Toby Mather, CEO of Lingumi. The History of SVB Founded in 1983 by Bill Biggerstaff and Robert Medearis, Silicon Valley Bank was established to provide banking and credit services to venture-backed startups. Essentially, . As the tech industry grew, so did the bank's business, expanding to include banking and loans for VC firms and publicly-traded tech companies like Roblox and Roku. It also invested in various blue-chip venture funds, as well as healthcare startups. giving credit based on future performance underwritten by being backed by a VC SVB's expertise in working with startups and its specialised venture debt and lending services made it stand out from traditional banks. Its close ties with the tech industry allowed it to understand the unique financial needs of startups and to tailor its services accordingly. This also made it easier for startups to access financing, as SVB's reputation and network within the industry made it a more attractive partner for venture capitalists and investors. In fact, . SVB banked nearly half of all U.S. venture-backed tech and healthcare startups, and its UK arm had over three thousand customers, with deposits of about £7 billion, according to the bank's data Where it Went Wrong Despite its success, there were warning signs that SVB's business model was unsustainable. One of the factors that contributed to SVB's decline was the bank's . over-reliance on short-term funding The other was rising interest rates. During the pandemic, many startups found themselves with extra cash from funding rounds when debt interest rates were at an all-time low, so they placed their deposits with SVB. With little demand for loans from this sector, SVB invested most of the money in long-term bonds. However, . This meant that , resulting in a doom loop further triggered by a lack of confidence in the bank and more withdrawals. when short-term interest rates outstripped long-term rates, many startups began to withdraw and spend their deposits the bank needed to sell some of its longer-dated bonds at a loss of a few billion to fund the withdrawals customers were making from the bank The Collapse of SVB On March 8, 2023, SVB announced that it was seeking to raise $2.5 billion to repair a hole in its balance sheet. Two days later, the US Federal Deposit Insurance Corporation announced that the bank had collapsed, leaving many tech startups concerned about how they would pay their workers and bills. In the US, the FDIC has already announced that the bank will reopen as the . Deposit Insurance National Bank of Santa Clara In both cases, as far as the public knows, no taxpayer money is involved, alleviating fears of a 2008 repeat. In the UK, acquired SVB UK for £1 in a deal facilitated by the Bank of England in consultation with the Treasury. HSBC Many are now questioning the . CEO Greg Becker received $9.9 million in compensation, while two other executives received $4.6 million and $3.6 million, respectively. Most of the compensation was in stock awards. The bank's compensation committee stated that bonuses for Becker and executives had been reduced to hold them accountable for the ‘balance sheet pressures’. It has also been revealed that both Becker and another executive sold shares of SVB the week before the bank failed. high salaries paid to its executives Conclusion Despite being a specialised bank that catered to the unique financial needs of startups, SVB's business model was unsustainable. The collapse of the bank will force startups and VCs to consider diversifying their banking relationships and venture debt structure to avoid a single point of failure. The elements of , which begs the question: unsustainable business models and lack of diversification aren’t new to failure in the banking system how much of the current financial system continues on confirmation bias and is it really working? References: https://www.axios.com/2023/03/11/silicon-valley-bank-rip https://theconversation.com/silicon-valley-bank-how-interest-rates-helped-trigger-its-collapse-and-what-central-bankers-should-do-next-201697 https://www.thisismoney.co.uk/money/markets/article-11854977/Turmoil-triggered-rising-rates.html https://www.uktech.news/news/industry-analysis/startups-survive-silicon-valley-bank-uk-disaster-20230312 https://www.wsj.com/articles/greg-becker-was-there-for-svbs-quick-rise-and-even-quicker-fall-2ff25176 https://invstr.com/svb-disaster/p=57600&utm_source=newsletter&utm_medium=email&utm_campaign=Crunch&utm_id=Invstr+Crunch&utm_content=13march2023 https://newsletter.w3academy.io/p/financial-system-lagging-behind-internet-tech

Onlookers Question SVB Executive Salaries Following Collapse

Technology continues to change at a rapid pace. New inventions, software updates, and smartphone apps all offer the potential to make our lives easier. With so many new technologies available, it’s natural to wonder how much tech is too much for you? You might feel like there are too many options when it comes to technology, especially if you’re not interested in gadgets or other technical devices. You may feel like there are just too many things to learn about or that you can’t keep up with the latest trends. With so many things vying for your attention, figuring out how much technology is too much for you requires some thought and analysis. Do you need to scale back your usage of a certain type of gadget or service? Or do you simply need to take some time to evaluate which technological options are right for you? Keep reading to discover how much technology is too much for you and how you can determine what’s best for your lifestyle moving forward. Decide What’s Most Important To You The first step to figuring out for you is to decide what’s most important to you. You may be someone who loves the latest and greatest gadgets, apps, and software. Or you may want to avoid all high-tech conveniences and instead prefer old-fashioned solutions. how much technology is too much The key to deciding how much technology is too much for you is to first know what you want out of your technology. Do you want technology that helps you save time? Technology that helps you stay organized? Or technology that allows you to socialize more easily? You may also want to consider how you feel about the positive and negative aspects of each type of technology. For example, you might really enjoy using social media because it allows you to connect with others. However, you might also read studies that point to excessive social media usage having a negative impact on mental health. Assessing Your Conscious and Non-conscious Habits As you use each type of technology, you may want to pay attention to your conscious and non-conscious habits. This can help you determine how much technology is too much for you by helping you to identify which ones are serving you and which ones are not. For example, if you find yourself mindlessly scrolling through Instagram, perhaps you’re better off scaling back or stopping altogether. If, on the other hand, you frequently use your calendar to help you stay organized, you may want to increase your usage of it. Determine Which Technology Supports Your Goals Another way to decide how much technology is too much for you is to determine which technology supports your goals. For example, if you have health or fitness goals, technology like fitness trackers and smartphone apps that help you keep track of your physical activity may help you stay on track. For other technological conveniences, you may want to consider how they help you to save time and energy, maintain a healthy work-life balance, and make your life easier overall. You may also want to consider how each type of technology impacts your mental state. For example, if you enjoy listening to music and find it helps you to relax and unwind after a long day, you may want to keep doing so. If, on the other hand, you’ve noticed that certain types of music trigger negative thoughts or emotions, you may want to replace them with new songs or albums. Ask Yourself Which Technologies Make You Feel Good Another way to decide how much technology is too much for you is to consider which technologies make you feel good. For example, if you love reading books, you may want to continue reading paper books. If you feel like reading e-books would be more efficient and save you time, you may want to incorporate e-books into your reading schedule. Of course, this is not an all-or-nothing decision. You can read both paper books and e-books to find out what works best for you. Could Technology Be Impacting On Your Childs Health? Parents should set limits on the amount of technology their children use, especially in the early years. While technology has a variety of benefits, it can also be hazardous to . young children Studies have linked screen time with developmental problems, sleep problems, and even language delays. Parents should make sure their devices are unplugged when not in use. If possible, turn off your phone, tablet, and laptop when your baby is asleep. It may be tempting to give in to the urge to use these gadgets for entertainment, but you're putting your baby at risk for harm. The use of technology has become an integral part of modern life. While it can have both positive and negative effects on a child's health, you can limit screen time by taking sensible steps to maintain good posture, take regular breaks, and stay physically active. In addition, consider the latest research into the effects of screen time on health. According to the American Academy of Pediatrics, children under two years of age should not spend more than one hour on screens every day. And children aged two to five should watch no more than one hour of high-quality television with an adult. While the rapid advancement of technology has helped change the world, it has also had adverse effects on health. For example, social media and mobile devices can cause eye strain and reduce children's focus. They may also contribute to depression. And the negative effects may be even more harmful for young children. Using before bedtime can also have negative effects on sleep quality. The blue light from digital devices can disrupt the body's natural sleep cycle. digital devices This can lead to double vision, watery eyes, and increased sensitivity to light. Also, using devices before bedtime may result in insomnia because the artificial blue light delays the body's body clock by suppressing the production of melatonin, a sleep-inducing hormone. How much technology is used daily? People relied on internet-connected technologies and services more than ever before as COVID-19 spread, one of the primary narratives being how much reliance there was. Despite the fact that restrictions on movement have fluctuated over the last two years, the Digital 2022 Global Overview Report that people are spending more time than ever using connected technology in 2022. reveals According to GWI research, the “average” global internet user now spends almost 7 hours per day – precisely 6 hours and 58 minutes – using the internet across all devices. In general, 92% of global internet users aged 16 to 64 go online using a mobile phone, but more than 70% still use computers. Those numbers reveal that the majority of internet users still rely on both mobile phones and PCs for at least some of their connected activities, although it is plausible that each person will have a unique device preference for specific activities. Rejecting the technology-inferiority complex. I am a part of the problem and write about it because it is so simple to be enthralled by technology. My wired soup of a laptop, smartphone, nerdy apps, and my judgemental viewpoints about how others adopt or reject technology all contribute to my personal addiction. Extended Summary Of Thoughts The world of technology is changing quickly, and it’s often difficult to keep up. You may find yourself wondering, “How much technology is too much for me?” or, “What do I actually need?” When it comes to figuring out how much technology is too much for you, there is no set rule. Instead, it’s important to assess your current use of technology, decide what’s important to you, and then ask yourself which technologies make you feel good. This way, you can make sure you’re using the right amount of technology to support your daily life while also enjoying the process.

How Much Technology Is Too Much for You? 7 Tips to Help You Decide

In 2012, Harvard Business Review called data scientists the sexiest job of the 21st century. However, correctly answering data science interview questions to get a job as a data scientist is very tricky. During the interview, the interviewer can ask questions from different data science topics such as statistics, programming, data analysis, data pre-processing and modeling. Your skills will be put to test, and you need to prepare yourself if you want to pursue a career in data science. In this article, I have compiled a list of common data science interview questions with guides on how you can answer them and a list of resources to learn more about the specific topic presented in each interview question. 1.What is Logistic Regression? State an Example When You Have Used Logistic Regression Recently Logistic regression is a popular algorithm used to solve classification problems. In this question, you need to explain what logistic regression is, how it works, and an example of a data science problem you solved by using logistic regression. Here are resources to help you get started crafting your response: https://hackernoon.com/introduction-to-machine-learning-algorithms-logistic-regression-cbdd82d81a36 https://www.youtube.com/watch?v=yIYKR4sgzI8 2.Why do we Need Evaluation Metrics? What is a  Confusion Matrix? Machine learning models must be evaluated to check their performances. In this question, you need to explain how you can use the confusion matrix to evaluate the model performance. You can further mention other metrics to evaluate regression and classification models. Here are resources to help you get started crafting your response: https://machinelearningmastery.com/confusion-matrix-machine-learning/ https://www.youtube.com/watch?v=prWyZhcktn4 3.How is Data Science Different from Traditional Application Programming? A good way to answer this question is by using examples of how the program is created in both cases. Traditional Programming Approach Data Science Approach Here are resources to help you get started crafting your response: https://mathsgee.com/qna/24080/data-science-different-traditional-application-programming 4.Explain the Difference Between Supervised and Unsupervised Learning. Supervised and unsupervised learning are among the types of machine learning techniques. The best way to answer this question is by explaining their differences in terms of the kind of datasets you can use in each technique and examples of algorithms. Here are resources to help you get started crafting your response: https://www.guru99.com/supervised-vs-unsupervised-learning.html https://www.youtube.com/watch?v=cfj6yaYE86U 5.What is a Decision Tree? A decision tree is another supervised learning algorithm that can be used to solve regression or classification problems. It is recommended to explain how the decision tree algorithm learns from the data and the advantages and disadvantages of using a decision tree algorithm. Here are resources to help you get started crafting your response: https://hackernoon.com/what-is-a-decision-tree-in-machine-learning-15ce51dc445d https://www.youtube.com/watch?v=RmajweUFKvM 6.What is Cross-Validation? The purpose of the question is to determine if you know some techniques used to assess the effectiveness of the machine learning model. For example, when you want to avoid overfitting. When answering this question, it is recommended to explain some methods of cross-validation you have applied in any data science projects. Here are resources to help you get started crafting your response: https://www.analyticsvidhya.com/blog/2018/05/improve-model-performance-cross-validation-in-python-r/ https://www.youtube.com/watch?v=fSytzGwwBVw 7.What is a Normal Distribution? This term is commonly used when solving a data science problem. In this question, you can explain the meaning of normal distribution, its properties, and why it is important to check if your data is normally distributed. Here are resources to help you get started crafting your response: https://statisticsbyjim.com/basics/normal-distribution/ https://www.youtube.com/watch?v=rzFX5NWojp0 8.What is a Random Forest Algorithm? Random forest is one of the popular machine learning algorithms. When answering this question, it is recommended to explain how the algorithm learns from the data and when it is recommended to use the random forest algorithm over other machine learning algorithms. Here are resources to help you get started crafting your response: https://www.analyticsvidhya.com/blog/2020/12/lets-open-the-black-box-of-random-forests/ https://www.youtube.com/watch?v=eM4uJ6XGnSM 9.Explain Univariate, Bivariate, and Multivariate Analyses These three types of analyses are used to summarize variables in the dataset and help you get some insights. You can also share their differences and when you can apply them with examples. Here are resources to help you get started crafting your response: https://www.geeksforgeeks.org/univariate-bivariate-and-multivariate-data-and-its-analysis/ https://www.youtube.com/watch?v=JG8GRlMjp3c 10.How can we Handle Missing Data? Some datasets may have missing data or values and can cause a problem when training machine learning models. It is important to mention some techniques that can be used to handle missing data. You can also share your experience of how you handle missing data in your last data science project. Here are resources to help you get started crafting your response: https://analyticsindiamag.com/5-ways-handle-missing-values-machine-learning-datasets/ https://www.youtube.com/watch?v=P_iMSYQnqac 11.what is the Benefit of Dimensionality Reduction? Dimensionality reduction is the technique to reduce the number of features or variables in the dataset. There are different advantages or benefits of dimensionality reduction you can explain when answering this question. It is recommended to explain why and when you need to apply this technique. Here are resources to help you get started crafting your response: https://hackernoon.com/dimensionality-reduction-using-pca-a-comprehensive-hands-on-primer-ph8436lj https://www.youtube.com/watch?v=1eYJKD0TQ8U 12.How can we deal with Outliers? An outlier is a data point that deviates significantly from the rest. In this question, you can explain how one can identify outliers and different techniques used to deal with outliers. Here are resources to help you get started crafting your response: https://www.kdnuggets.com/2017/01/3-methods-deal-outliers.html https://www.youtube.com/watch?v=DDpym2j_ILY 13.What is Ensemble Learning? In machine learning, ensemble learning is a process of using multiple algorithms to obtain better predictive performance than could be obtained from any algorithms alone. When answering this question, you can also share your experience the last time you implemented ensemble methods in a data science project. Here are resources to help you get started crafting your response: https://www.analyticsvidhya.com/blog/2015/08/introduction-ensemble-learning/ https://www.youtube.com/watch?v=WtWxOhhZWX0 14.Explain how Machine Learning is Different from Deep Learning? The best way to explain the difference between machine learning and deep learning is the way they solve problems. You can go further by explaining some of the problems that can be solved by either machine learning or deep learning techniques. Here are resources to help you get started crafting your response: https://www.simplilearn.com/machine-learning-vs-deep-learning-major-differences-you-need-to-know-article https://www.simplilearn.com/tutorials/artificial-intelligence-tutorial/ai-vs-machine-learning-vs-deep-learning 15.What are the Differences Between Overfitting and Underfitting? The best way to explain the difference is not just with definition but through examples. You can also share your personal experience when faced with overfitting or underfitting problems in a data science project. Here are resources to help you get started crafting your response: https://www.geeksforgeeks.org/underfitting-and-overfitting-in-machine-learning/ https://www.simplilearn.com/tutorials/machine-learning-tutorial/overfitting-and-underfitting 16.What is Regularisation? Why is it Useful? When answering this question, you can also go further by explaining the two common regularization techniques L1 norm and L2 norm. Here are resources to help you get started crafting your response: https://dzone.com/articles/what-when-amp-why-of-regularization-in-machine-learning https://www.youtube.com/watch?v=rPBFvvw2OM4 17.What is Selection Bias? It is not enough to define Selection Bias. If possible you can explain different types of bias, their effects, and how to avoid them. Here are resources to help you get started crafting your response: https://imotions.com/blog/selection-bias/ https://academy4sc.org/video/selection-bias-dont-forget-about-me/ 18.Can you Explain the Difference Between a Validation Set and a Test Set? In this question, after explaining their differences, you can explain the advantage of having a validation set and a test set in a data science project. Here are resources to help you get started crafting your response: https://machinelearningmastery.com/difference-test-validation-datasets/ https://www.youtube.com/watch?v=pGlQLMPI46g 19.What is the Difference Between Regression and Classification ML Techniques? We all know that regression and classification are supervised learning and the only difference is their output. When you answer this question, you can mention a few algorithms that can be used to solve regression problems or classification problems. Also, try to share how their models are evaluated. Here are resources to help you get started crafting your response: https://www.javatpoint.com/regression-vs-classification-in-machine-learning https://www.youtube.com/watch?v=TJveOYsK6MY 20.What are Artificial Neural Networks? In this question don't just define Artificial Neural Networks but also explain their advantages and where you can use them. Here are resources to help you get started crafting your response: https://hackernoon.com/overview-of-artificial-neural-networks-and-its-applications-2525c1addff7 https://searchenterpriseai.techtarget.com/definition/neural-network 21.What Tools and Devices do you Plan to use in Your Role as a Data Scientist? This question is straightforward but it is recommended to mention tools you have used before or you are planning to use in the future project. You can also share your experience of how the tools help you implement the data science project successfully. Keep in mind, you will use different tools for different projects. For example, some tools can be used for an NLP project and others for a Time-series project. Here are resources to help you get started crafting your response: https://sdacademy.dev/13-tools-every-data-scientist-needs-to-know/ https://searchbusinessanalytics.techtarget.com/feature/15-data-science-tools-to-consider-using 22.What is Natural Language Processing? State some Real-Life Examples of NLP. You have to define Natural language processing in a simple way and how it can be used to solve business problems. Then share some real-life examples. If possible you can also share some of the NLP projects you have done or collaborate with others. Here are resources to help you get started crafting your response: https://www.ibm.com/cloud/learn/natural-language-processing https://intellipaat.com/blog/applications-of-nlp/ 23.What is Normalisation? Difference between Normalisation and Standardization? Normalization and standardization are techniques used to pre-process the data before applying machine learning algorithms. The purpose of the question is to explain the differences between these two techniques and at what condition of the dataset, you should apply one over another. Here are resources to help you get started crafting your response: https://www.analyticsvidhya.com/blog/2020/04/feature-scaling-machine-learning-normalization-standardization/ https://www.youtube.com/watch?v=mnKm3YP56PY Final Thoughts on Data Science Interview Questions Reviewing these common data science interview questions will actually boost your confidence during the interview. Don't expect the interviewer to ask you all questions mentioned in this article. However, most of the interview questions will come from the same topics. For example, instead of asking " ". The interviewer can ask you to “E ”. Explain the difference between supervised and unsupervised learning xplain some supervised learning algorithms and how they learn from the data If you are interested in learning and reading more data science interview questions, I recommend you take your time to read the following resources I have compiled for you. https://www.springboard.com/blog/data-science/data-science-interview-questions/ https://huyenchip.com/ml-interviews-book/ https://hackernoon.com/160-data-science-interview-questions-415s3y2a It is recommended to practice your coding skills because some questions during the interview require you to code the solution. I hope these data science interview questions will help you in preparing for your interview and I wish you the best of luck in your data science career. If you learned something new or enjoyed reading this article, please share it so that others can see it. Until then, see you in the next post! You can also find me on Twitter . @Davis_McDavid And you can read more articles like this . here Want to keep up to date with all the latest in python and data science? in the footer below Subscribe to our newsletter

23 Common Data Science Interview Questions for Beginners

Weird One Character Domain Superstore aka … A web app for weird unicode single character domain names… A weekend project that got out of control… WeirdOneCharacterDomainSuperstore.com ツ.ws I built a . It was a lot more work than expected and totally ridiculous, but it’s done. Enjoy! TLDR; Weird One Character Domain Superstore What is it? is exactly what you’d expect: a place where you can go to shop for weird single character domains. While the x.coms of the world might belong to Elon Musk and his ilk, you don’t need to have your own electric car company to own your own single character domain. WeirdOneCharacterDomainSuperstore.com You just need to make some choices. Bad choices. choices. 𐋐.army In this article, I’ll try and describe the process by which I came to create and some of the technical challenges. It ain’t rocket science, but there’s more to it than you think. WeirdOneCharacterDomainSuperstore.com I’m a guy who loves a stupid hackathon. I’m, like, a professional web developer on a big project during the day, but at night, I like to work on things that make me laugh. A weird unicode domain superstore. Why not? I love it when talented people devote way too much energy to something dubious. A bad idea, fully executed. Or at, least, minimally executed. Weird One Character Domain Superstore MVP Why didn’t a market like that exist already? These are things you need to build a minimum viable weird one character domain superstore: A good domain name A sense of what characters are valid and visible in your reference browser, Chrome for Mac OS Metadata about every character: language / category / name / etc… A way to check domain availability A database of available domains A webapp to sort and display domain listings and data. You have to show visitors the domains that are available, they won’t just guess. A way to make money No particular step is hard, but there’s enough to it there that no reasonable person would spend on something so stupid unless they’re already done a lot of the hard work on some other half-baked project. Who Would Do Such a Thing? I’m Jon Roig, the guy who brought you . We were just on Vice News… how cool is that? emoji domains Emoji Domains on Vice News I didn’t invent emoji domains… I just helped to make them popular by providing the first really easy way to register them at . It’s been a big hit and we’re trying to find ways to push it into the mainstream in 2018. i❤️.ws Anyway, while I hunt around for new emoji domain partners — hit me up if you’re a ccTLD interested in chatting about selling emoji domains — I’ve got a couple of other projects brewing. My day job is working as a Developer in the Productivity Apps group for GoDaddy, but my weird side hustle is the Domain Research Group. Our main project right now is , but I’ve been been looking for ways to extend my expertise in… uhh… unusual domains. i❤️.ws There’s a Vibrant Community of People Who Buy and Sell Domains If you want to talk weird domains and find other the people who are organized and want to chat, the only game in town is the domain aftermarket… you know, where people buy and sell domains. There are, like, and stuff where people talk about domains. forums Of course, the presence of domainers in the market is somewhat controversial — developers tend to view them as squatters — but given that they’re literally invested in domain names, they can be both great partners and a wealth of knowledge. And man, there are some interesting characters in that bunch. When you’re trying to launch a new domain project like I was with emoji domains and , you want to make friends. i❤️.ws To that end, I built an a few months ago, retrieving data out of the Aftermarket system and doing various things to enhance / reveal the current availability of emoji domains, some of which are quite valuable, especially if you know what to look for, where to buy and where to sell. emoji domain marketplace GoDaddy I’m not sure how much actual money the Emoji Domain Marketplace has made, but it’s a useful for the community, low maintenance and it’s interesting to see all the different domains people have registered and are now trying to sell. tool The Genesis for a Really Bad Idea Let’s talk a little about how one gets the content for an emoji domain marketplace and you’ll start to see how this descended into madness… You grab a list of domains on auction, a set of large CSV files, from GoDaddy To speed processing time, you ignore as much of that data as you can in some easy, programatic way. In our case, since we’re only looking at IDN domains, you can ignore everything that doesn’t begin: xn- You go through the remaining data, picking out the items you’re interested in. In this case, emoji domains… and there are thousands. Items you’re not including in the marketplace, you send those to the console to make sure you’re not ignoring something you should include. Anyway, I’m looking at this output of domains people are trying to sell and I go, “Whoa. People really registered some pretty weird shit.” Some weird unicode domains rejected by my emoji filters… a lot of them are essentially phishing sites Home for the Holidays A lot of interesting projects are born during the holidays, when Developers are away from the office and the pace of commerce slows for a few weeks. Linux came about that way, according to legend. I assume that WeirdOneCharacterDomainSuperstore.com will find its place somewhere among that pantheon of great projects. I was home, by my self… my family was back in Philly and I had a few days to build whatever I want. “Use the whole buffalo,” I said to myself. “I’ve got all the data already, I just need a new way top present it. I’ll just build a little marketplace for those weird unicode domains that I’ve been rejecting.” “If nothing else, there should probably be a market for the single character domains.” The Best Worst Domain Name is a given. Ironic in its length, it’s so uncool, it’s cool. I think. Right? There can be no doubt what site you’re visiting when you stumble on . WeirdOneCharacterDomainSuperstore.com WeirdOneCharacterDomainSuperstore.com I couldn’t really have a Weird One Character Superstore without an alternative single character domain. “Dogfooding” as they say. came a bit later, picked up as an expired domain on the GoDaddy Aftermarket. Traditionally — before the — there hasn’t been much competition for these domains, since they’re not easily viewed in the native GoDaddy interface. To even enter the market, you have to do the type of domain auction data processing I talked about earlier. Still though, there was a bit of competition for it. ツ.ws WeirdOneCharacterDomainSuperstore wasn’t my first choice. Originally, I’d planned on going with ❶.ws and bought that on the Aftermarket as well — I still think it’s pretty good — but people know the ツ character beyond it’s value as “HALFWIDTH KATAKANA LETTER TU.” It makes people smile. ツ.ws displays properly in unicode my target browser, Chrome for Mac. It doesn’t turn to punycode. Pretty sweet. ツ.ws Also: .ws stands for “Weird Superstore.” So there’s that. With both URLs active, I can use the longer one for social media sharing which doesn’t like Unicode — Facebook, for instance — while keeping for Twitter and the like, where the character count really matters. ツ.ws I pointed each domain to different IP addresses. I hope the spiders enjoy that shit. 🤑 Making Money doesn’t have any ads or take any money from anyone. WeirdOneCharacterDomainSuperstore Given that this is my weird side project, I always need to keep an eye on my priorities. I have a family and friends and hobbies. I can’t manage customer service and passwords and credit card payment gateways unless it’s really worth my time. is essentially an ad for domains purchased through GoDaddy. The whole interaction is facillitated through the , so I get a percentage of all the money spent by users clicking through the app. WeirdOneCharacterDomainSuperstore.com CJ Affiliate Program It’s a pretty good arrangement and works the same way. Theoretically, I could make more money managing my own registrar and handling everything myself, but the effort required is significantly higher. i❤️.ws No Managers, no Frameworks Ain’t nothing fancy about . It’s a pretty basic web app built on Node.js/Express with a SQLite backend db. WeirdOneCharacterDomainSuperstore.com All day at work I toil away in React and Ember and whatnot… and while there’s something to be said for these complicated frontend frameworks in a “serious” setting, I didn’t want to spend any more time than necessary with the webpacking and the linting. Lean and mean. is all about server side rendering through handlebars.js. The upshot of delivering fully rendered HTML pages with no extra bullshit is that you can be super SEO friendly. WeirdOneCharacterDomainSuperstore.com Feels so wrong… but it’s so right. A Distinguished Character Some of the characters supported by Weird One Character Domain Superstore You can’t just list any weird one character domain name on a site specializing in weird single character domain names: you have to determine whether there’s a reasonable chance it’ll display in the browser. This isn’t ‘Nam. There are rules. Lines in the sand have to be drawn. To begin with, you have to choose a browser to use as a reference and say, “If character’s don’t display properly in this browser, I won’t include them.” To get a sense of what’s generally valid on Mac Chrome, my reference browser, I visited the to figure out what displayed and what didn’t. It doesn’t make sense, though, to try and copy each set of characters and trim out the non-visible ones by hand. That would be a monumentally tedious task. Wikipedia list of Unicode Characters … which is to say, the type of things where computers excel. We just need to point our machines in the right direction. So… uhh… how do you do that? Gather Your Symbols It doesn’t make sense to just scan through all of Unicode, one code point at a time. For one thing, there are billions of potential hits. Second, you’re going to need to eventually categorize each character, put it into a proper subgroup. Luckily, there’s , an engineer at Google who’s done a lot of great Unicode work. His iconic library, , contains all the various characters one needs to get started. Thanks man! Mathias unicode-10.0.0 Yay! The code, which could certainly be a lot cleaner, looks something like this: Generate a list of all the Unicode 10.0.0 characters Cool. Now what? How can we figure out which characters the browser can actually display? Do you see what I see? After going down a few wrong avenues involving Google’s Noto font library and some weird data extraction techniques, I hit on a really simple solution — just render all the characters one at a time to canvas, convert the resulting image to png, and compare it against a list of known “bad” characters: blank, boxes, “tofu,” and the like. The downside is that you have to actually run this in the browser to get it to work. Also, it takes a few minutes. Not gonna make any claims of code quality here — it’s a one shot script — but here’s how I did it. Figure out which characters display in your browser With that done, we’ve got a clean, categorized list of all the visible characters in Mac Chrome for OS X 10.13.2. Sweet! I’ve thought about breaking that out into it’s own thing: a simple web app which helps automate the process of determining which characters work in which browsers and recording / publicly sharing the results, but I’m not sure anyone cares but me. We can archive all the character renderings! Make a gallery! Anyone? Bueller? Pardon Me, is that Domain Available? A little bit of js code… Another recycled bit of technology from : the domain checker. i❤️.ws GoDaddy provides a Domain Availability API at , so that part was trivial. Works pretty much like you expect: feed it a domain and an API key, it spits back some JSON to tell you whether the domain is available and how much it costs. developers.godaddy.com If a domain is available and is in my list of approved characters, the app adds the domain to the database. If the price has changed, it updates it in the db. If the domain is now taken, it gets removed. You know: CRUD stuff. Once this is up and running, you can begin to fill your superstore with weird one character domains. Finding the Weird Domains Since the app can populate itself, loading it full domains was just a matter of building a little script to scan through all the possible characters on a given TLD and point it at the weird one character domain superstore. I started with the big ones: , , and added some of the ones that I know are always tolerant of weirdness: and . From there, I’ve been adding TLDs that make me laugh: , and . .com .net .org .tk .ws .dog .army .pizza Maybe more to come… we’ll see. There are API usage limits on the GoDaddy discovery API, so one must pace oneself, filling out the listings over a period of weeks. Rest assured that even as you read this, some VM somewhere is trying to find out whether ω.academy is available. Keep it Simple Weird single character domains have a discoverability problem: you don’t know which weird Unicode character you want until you see your new favorite weird Unicode character. I’m not the best Web Designer in the world, so I try not to be too clever. The goal was to make the characters stand out and do the hard work of being interesting. I settled on a big chart as the main way into the single weird character domain experience: Display of Carian domain names, front page of ツ.ws I wrote a bunch of basic search and sort functions to provide a half decent, if messy, interface to all the domains. Still not sure what to with massive character sets, like CJK. Right now, I just cut them off. There’s also a totally . dubious FAQ Finishing touches include SEO metadata and social media sharing — a little trickier than normal, since URL paths containing unicode that have to URLEncoded. Not that hard… just another thing to keep in mind. Unicode sometimes needs a helping hand. I made my amazing logo at . I wonder if that site makes money… kinda goofy, but works well enough. Thx! flamingtext.com There are probably other features I could add, but I’m not sure it’s worth it. Open to suggestions, of course… And Now… There it is… in all its glory. ! WeirdOneCharacterDomainSuperstore.com I initially expected to bang it out of four or five days, but it ended up taking about two months between Thanksgiving and New Years 2018. In the end, I’m not really sure than anyone wants this thing. That said, it totally makes me laugh. It’s a thing that should exist and now it does. Enjoy! ツ.ws

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