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As Computer Science continues to weave itself into more aspects of everyday life, the term “coding” has become ubiquitous throughout society. However, because a lot of the code executed in our everyday lives is embedded deep within the systems of the objects we use, there are many misconceptions regarding what programming actually entails, and what it takes to become a capable coder. The objective of this article is to dispel some of these common myths about coding and inform those who may be interested in pursuing the subject.

Our Top 4 Myths About Coding for Kids:

Myth #1: Coding is Only for Certain People

This is certainly not true. Anyone who is willing to put in the effort and discipline to learn coding is capable of coding. A common misconception is that only those who are logically inclined are able to code. However, logical skills are something that can be learned over time by recognizing patterns and applying oneself to different problems. As one gets better at coding, their logical skills will progress naturally.

Learning to code is like any other subject in school that requires hard work: it’s important to build from the ground up. A student shouldn’t expect to be an expert coder in a short amount of time. Juni provides the foundations for any student to improve their coding skills by starting with introductory programming courses and slowly progressing through topics before engaging in more complex, comprehensive projects. Our Scratch courses (Scratch Level 1 and Scratch Level 2) are gateway courses used to spur beginning coders’ interests in coding, as well as to lay down the stepping stones of coding success. These courses stray away from the conventional scripting languages and encourage the use of blocks, which are grouped together to create functional programs with visual outputs.

It’s also important to note that coding is an achievable skill for any age group. From kindergarten and high school to college and adulthood, there are always opportunities to become a good programmer or branch into different programming languages. Juni provides a variety of courses for all ages, which covers a vast range of languages and concepts. This includes courses in Python, which engages students via fun projects to learn about coding fundamentals and build on underlying knowledge. Java courses also delve into introductory programming fundamentals, as well as concepts in object-oriented programming. Web development courses allow students to create their own webpages while teaching HTML, CSS, and Javascript. There is no one “best language”. Instead, students should pick languages which interest them and help them achieve their programming goals.

Myth #2: Coding Takes a Lot of Time

Learning how to code intricate projects and becoming an experience programmer, of course, takes a lot of time. However, once someone has a grasp of foundational skills, the actual process of creating a script may not take long. Some programs may take fifteen minutes to write, while others may take days to flesh out conceptually and later translate into a working script. Nonetheless, it’s frivolous to say that all coding takes a lot of time.

In reality, Computer Scientists spend a larger portion of time planning, debugging, and optimizing code rather than writing it. Remember, systems are dynamic. In order for software to keep up with evolving technologies, their underlying scripts always need to be updated to match people’s needs. As such, updating code for certain software and adding new features can take a lot of time, as well.

Operating systems are a good example of this concept. Every time a computer reboots in order to install updates or new features, software developers have optimized the previous version in order to fix certain bugs found by users or add more features in order to enhance the user experience. Paying attention to the new features that are outlined prior to an update process can help determine what the system is trying to do.

Another example of this lies in web development. Depending on the content, websites have to be updated with new content and features in order to achieve their goal. Web developers are responsible for implementing and debugging these features in order to keep their customers engaged and satisfied with the web content. This does not mean that the web developer creates a brand new website; they simply improve what already existed.

Myth #3: Coding Requires Being Good at Math

While Computer Science and Mathematics go hand-in-hand in terms of the similar logical and problem solving skills needed to succeed in both, having strong math skills is not a prerequisite to being able to code. There are many programmers who have not formally studied mathematics as in-depth as they have studied computer science and are perfectly able to code. As mentioned previously, learning how to code starts from the fundamentals. Foundational concepts such as variables, loops, and conditionals require only basic math knowledge to learn and apply in our programs.

However, it is important to note that certain jobs require a strong background in both math and coding due to the nature of what is being coded. If a computer scientist’s job requires them to perform certain mathematical or statistical analyses, it goes without saying that they should have a strong mathematical background. One example of such an occupation is a Data Scientist. Data Science encompasses using mathematical and statistical analyses of vast amounts of data with the aid of Computer Science.

Myth #4: Coding Only Takes Place on a Computer

This is false to a certain extent. A better way to state this is that most coding only takes place on a computer. With the surge of mobile devices and tablets, there are definitely ways to code on such devices and make applications on the devices themselves. There are definitely coding activities you can do without a computer. One example is using printable Scratch blocks in order to practice coding anywhere. There are many coding games, toys, and apps that are potentially beneficial to students.

Another way to practice coding is writing out code. While this may not seem beneficial, many technology companies require their applicants to write out code during interviews to unravel the applicant’s thinking process, as well as their ability to correctly format and place syntax without the help of an editor. Writing code is not only beneficial for technical interviews, but also for learning good syntax habits and common coding procedures that are often automatically laid out by an editor.

While not all students are at the stage of job recruitment, knowing how to brainstorm code and write out the skeleton of a functional script is invaluable for events like hackathons (an event where groups come together for a short period of time, usually spanning from one to three days) in order to solve a problem or create a new product. These events allow students to leverage their already existing skills while gaining new insights throughout the span of the event.

Debunking the Myths about Coding

Coding can feel overwhelming to students who are only starting to accustom themselves to the topic. However, learning with a structured, project-based curriculum that layers in new concepts one at a time has proven to work well for our students at Juni. Juni offers one-on-one classes that allow experienced instructors to tailor courses to meet individual students’ specific needs. Through our course sequence, your child can learn to build games, applications, websites, and more. Get started with our Admissions Team today to see what class is best for your child.

The following is a guest post by Emily Walsh.

Besides using a VPN to unblock online content, you also likely use it to enjoy better online privacy. After all, it encrypts your data, so you should be safe when you’re surfing the web, right?

That’s true, but here’s a question – how do you actually know the VPN properly protects your privacy?

We don’t want to worry you, but not all VPNs are fully secure. Which is why we’ll show you how you can easily tell if a VPN is trustworthy. If you’re in a hurry, feel free to skip to ProPrivacy’s list of the most secure VPNs available.

How Can a VPN Compromise Your Data?

And since skilled hackers nowadays could remotely take over your computer by just knowing your IP address, you can’t really afford to use a VPN that neglects your security.

5 Signs a VPN Takes Security Seriously

Based on our experience and research, this is how you can tell a VPN will keep you safe online:

1. They Don’t Keep Logs

You’re using a VPN to stop your ISP, surveillance agencies, hackers, and advertisers from knowing what you do online.

So why should the VPN be able to monitor your browsing? That kind of defeats the purpose of using one, really.

And we’re not just talking about usage logs (the ones that show what you with the VPN). We’re also talking about connection logs. True, many VPNs use them for troubleshooting, but they can still put your privacy at risk.


Because, sometimes, connection logs can contain your IP address.

The only way you know for sure a VPN isn’t spying on you is if it doesn’t keep any logs.

“How do you know they don’t keep logs, though?” we can hear you thinking.

Pretty simple – you check if the VPN has been audited by independent third parties. Or if there are any court documents from an investigation proving the service doesn’t keep any logs. Or if the provider had servers seized by the authorities and they weren’t able to find anything on them.

That’s how you can tell the service is trustworthy.

2. They Offer Secure Protocols & Powerful Encryption

If the provider forces you to only use PPTP, SSTP, and L2TP/IPSec, that’s a red flag. The NSA can crack PPTP encryption, and many people believe L2TP/IPSec can be compromised too.

And while SSTP is generally considered secure, keep in mind it’s closed-source and Microsoft owns it – the very same company that was previously accused of giving the NSA access to encrypted messages. Also, don’t forget Microsoft was the first company to join the NSA’s PRISM surveillance program.

If you can use OpenVPN on top of those protocols, though, that’s good news. OpenVPN continues to be considered the most secure VPN protocol. SoftEther and IKEv2 are also pretty decent. WireGuard too – just make sure the provider configured it properly.

As for encryption, AES is usually the standard. As long as the provider uses AES-128 or AES-256, you should be safe. 

3. They Run Encrypted DNS Servers

A VPN shouldn’t just encrypt your data, but your DNS requests too. If you’re not sure what they are, they’re the queries your browsers sends to DNS servers when you want to access a website. Their role is to find out what the website’s IP address is, so that the connection can be successful.

Well, if a VPN doesn’t have their own DNS servers that encrypt those queries, there’s a risk you might be exposed to man-in-the-middle (MITM) DNS attacks and DNS filtering. Also, you might continue using your ISP’s DNS server, so they’ll be able to see your web browsing even though you’re using a VPN.

4. They’re Leak-Proof

If a VPN is leaking, that means your IP address or other data aren’t going through the encrypted VPN tunnel. So websites can see your real IP address, and your ISP knows what sites you visit.

Unfortunately, there’s no alert that tells you when the VPN is leaking. You’ll have to test the connection instead. Luckily, doing that isn’t hard:

  1. Use this tool without the VPN and take a screenshot of the results.
  2. Connect to a VPN server.
  3. Use the tool again.
  4. Compare the results with the ones from the screenshot. If you see your original IP or DNS address, you’re dealing with a leak.

Oh, and bonus points if the provider offers built-in leak protection against DNS, WebRTC, and IPv6 leaks. It’s nice for peace of mind.

5. They Have a Kill Switch

This is a feature that shuts down your Internet access when your VPN connection goes down. It’s not abnormal for that to happen, but when it does happen, your data will be exposed.

A Kill Switch makes sure your privacy isn’t at risk when the VPN has connectivity issues. Overall, it’s a nice fail-safe.

Have a Hard Time Finding a VPN That Meets Those Requirements?

It’s not surprising. There are hundreds of VPNs on the market, so finding the right one is a ton of work.

Don’t worry, though – we’ve got your back. Our friends over at ProPrivacy have an excellent guide to the most secure VPNs available. It has all the information you need to make a smart decision.

What Else Do You Look for in a Secure VPN?

What other requirements do you think a VPN needs to meet to be eligible for the “secure” title?

Tell us all about them in the comments or on social media. Also, if you had any experiences with VPNs that put your data at risk, please let us know.

The following is a guest post by Molly Crockett.

Molly Crockett is a technical writer who works for Big Assignments and OX Essays. She writes primarily about digital machine learning and artificial intelligence. She is passionate about researching ways that AI is poised to revolutionize different industries. Ellie also writes and teaches at Elite Assignment Help.

There are a lot of opportunities to bring artificial intelligence (AI) to the table with cryptocurrency trading, since trading has already made the switch to digital, and AI is revolutionizing all industries. However, with that being said, combining an industry and AI just for the sake of it might not always work as smoothly as we all think it would just based on the prior success of AI. In this article, we’ll explore if AI and trading is possible or if it’s just a pipe dream, and if it is possible if it’s even a good idea.

1. Most of trading is already done through computer algorithms.

It’s more and more difficult to compete with traders that have only some human training skills, since computers and computer training is getting so popular. To compete, it’s absolutely essential to make fast decisions. According to the latest stats, computers now generate between 50 and 70 percent of trading in all equity markets, 60 percent of future and over 50 percent of treasuries. This type of machine learning and AI is used more and more frequently and to great success to analyze the data, provide investment guidance, and trade securities.

2. AI is necessary to be able to analyze all the digital data.

There is just so much data out there and it’s getting immensely bigger each year. AI is a tool that’s important, even essential, to be able to look through and analyze all of the digital data that the world is producing each day. Joan Ritter, a business writer at State of writing and Essayroo, tells readers, tech analysts, and traders, that according to her research, “there are estimates that say the digital data will reach 44 zettabytes (trillions of gigabytes) by the end of the year. This is a staggering amount of data that is hard for us to truly wrap our heads around.”

3. AI and the hedge fund industry.

AI is just starting to be applied in the hedge fund industry, but it’s already outperforming the non-AI hedge funds. Some hedge fund managers use AI only for partial input in the trading process so they can still control investment and risk management, but other managers have set up pure AI hedge funds, in which the trading and risk management is all controlled by AI without input from the fund manager. These hedge funds have outperformed all other funds over five, three, and two year periods.

4. Neural trading systems provide better information for trading.

Some tests were done to feed AI five years of data from 1995 to 2000, and AI generated some market predictions for 2001 based on that data. The results of this test determined that neural trading systems that receive historical data can give us much better information for the future, including the next training day. In fact, they outperformed the buy-and-hold portfolio in one year by over 150 percent.

5. AI is able to find manipulations of the market.

Asset management companies can use machine learning systems to pick up acquisitions before they are even announced on the market. AI algorithms can actually spot the acquisitions through tiny signals that indicate there is a bit of insider trading taking place. This has been replicated in other studies, including AI algorithms for cryptocurrencies being able to spot multiple market manipulations based on some behaviors deemed unusual.

6. These AI-powered strategies outperform the traditional approaches.

More research was done in terms of using AI to forecast stock prices. Robert M. Hugh, a tech blogger at Ukwritings and Revieweal, explains to his readers and blog subscribers that “specifically, researchers wanted to compare how AI-powered trading can give results compared to the more traditional buy-and-hold portfolios. This research showed conclusively that that was the case, and in each situation, AI was able to outperform the traditional portfolio approach.”

Blockchain technology is becoming more and more important for experts in the tech industry, regardless of the subject (supply chains, business communication, and more). In reality, blockchain technology is based in trust and collaboration, even more so when artificial intelligence is added to the mix. As opposed to old business models that are more traditional and not AI-based, it’s no longer sufficient to just have an environment of competition in the field of digital and cryptocurrency trading. There now needs to be the right conditions created in which the success of people is dependent on the overall success of the endeavor.

The following post is a guest post by Beatrix Potter.

Beatrix Potter is logistics analyst and writer at and Essay Help. She enjoys helping people to find their way in the exciting field of logistics as well as creating articles about things that excite her for Essay Writing Service.

Logistics leaders are making direct responses to new the new innovation and evolution of businesses that is forecasted for after 2019.

The technologies that are pushing the logistics industry range from rising technology, new competition and shifts in consumer mindsets and expectations. As such, the management of the supply chain has also completely shifted.

For long, innovation has been regarded as adopting new technologies, as well as process improvement. However, the two can be examined together to see the true potential of technology. This article gives a brief illustration of where supply chain leaders are paying their attention to.

E-Commerce Technology

E-Commerce technology has greatly impacted the industry, through changing how consumers buy things. Now, everything is regulated by the dopamine rush of the next best e-commerce deal. New promises to abide by are rapid, high-quality and inexpensive delivery. However, innovation means process improvement. There’s no point sacrificing the price tag of new technology in a misguided way.

Current market needs are growing at a faster pace, making the efficiency of supply trends extend towards consumer knowledge surrounding their orders. The demand for insight centres itself around origins, transits and arrival times. As such, visibility have seen a lot of development lately.

Other technology that has been in the spotlight for increasing process efficiency include robotics and automation, as well as sensors and blockchain. Aside from them, emerging IoT technology has been recognised as improving regulatory compliance, tightening cyber security and lowering expenditure.

Consumer Segmentation

Addressing consumers with a grouping method allows more direct consumer success, by adapting supply chain strategies and using a more succinct business model. The groups of customers can be simple: based on the reasons that lead to various purchasing and interaction decisions. Choose these over broad groups that over-generalise consumers, as this will be futile.

SaaS in the Supply Chain

A higher proportion of online enterprises are using SaaS to increase their reach to consumers, alongside an increased use of cloud computing. SaaS offers high levels of safety and security, following the ease of using a simple pay as you use foundation. This bypasses all the costs involved in continual system maintenance and other internal upgrades and costs related to infrastructure.

The visibility of the supply chain

Predicting the rises and falls of business will directly impact on decision making. Through thorough analysis of supply chain data, such business forecasting can be optimised. This is because it allows insight into what is happening at each level of the supply chain, feeding back important self-analytical information that will increase the efficiency of the whole chain. The enhanced ability to manage inventories in real time is a major benefit of supply chain visibility and uses sensors as well as point-of-sale systems.

A circular supply chain

Conventional, linear supply chains focus on the journey from the raw material to the product ready to be shipped to the customer. The concept of a circular supply chain takes a different approach, by finding new ways to use older, used materials instead of direct raw materials. This is reverse logistics, which lowers the administrative and transportation costs that a company faces, as well as reaching better levels of sustainability, customer loyalty and resource conservation.

Wearable devices

Cloud technology is available to wearable devices, which allows data monitoring in real time. After data input and analysis, wearable cloud technology allows a fast and accurate accumulation of inventory data. Another reason to introduce wearable technology is for better monitoring of the health of employees. Exhaustion and heart attacks are two conditions which affect the working population commonly and can be better prevented using wearable technology.

The globalisation of knowledge work

“Knowledge work refers to complicated analytics, planning and processing. The more businesses become global, the more knowledge work will disperse and also become more global. This brings massive benefits such as being able to have business links between countries,” says Gay Henry, supply chain manager at State Of Writing and BoomEssays.

A higher focus on risk management

Considering the risk management for a large company is a sure way to protect it from unforeseeable events with a negative effect on the company. Dispersing work to off-shore business links, improving product versatility and increasing the amount of practices that are outsourced, are all ways that companies can increase their focus on both risk management and supply chain resilience. The latter is how well a company’s supply chain can withstand adverse events.

Artificial intelligence

Examples are very varied today: from self-driving/ autonomous vehicles built to drive without human attention, gesture recognition technology rather than conventional keyboards and mice… Robotics and automation and wide fields in the supply chain, both as products and to improve the supply chain itself. The improvements are largely in the higher flexibility and affordability. Repetitive and challenging tasks are made easier.

Better collaborative strength

“A major priority when improving the supply chain is building strong relationships with suppliers. Collaboration helps to focus internal processes and lower resource exhaustion that has directed time and energy into administrative work.” Says Kevin Manning, consultant at Paper Fellows and Assignment Help.

Supply chain digitisation

Through the use of up-to-date technology with physical and digital assets, the whole process of practicing logistics can be altered to a more rapid and competitive current platform. Both dynamic flexibility and resilience of supply chain strategies are improved through digitisation, increasing value, revenue and market valuation.

Internet of Things / IoT

This is a system of interlinked computers, machines, human resources and so on, that are given unique identifiers (UIDs) so they can move data through a network without the need for human to human, or human to computer interaction.

IoT has been adopted into multiple chains, though hardly forms a part of the entire supply chain process. the business value of OT (operational technology) is expandable with the IoT. The effects could simply, but importantly be improved supply chain performance for the entire strategy. This in turn improves supply chain visibility, reliability and so on.

photWe are one month into the 2020s and the next decade of innovation is going to radically transform every industry – especially health care.

In this guest post, Healthcare IT specialist Michael Dehoyos can be found at Originwritings and PhdKingdom.

You can also find his insights at AcademicBrits academic service.

How The Health Industry Is Being Revolutionized by Tech

Developments in tech are impacting every walk of life, and every sector of business. Yet perhaps some of the most profound effects of this revolution are being felt within the confines of the health sector, which of course means, in turn, profound changes in the length and quality of life that most of us can hope to enjoy.

But what are the more specific applications by which tech is influencing the health sector in the here and now. Here are some prime examples:

Quantum computing

Quantum computing is promising to finally deliver a solution to processing the colossal amounts of data that are required for such considerations as genome sequences, and the impact of environmental and behavioral factors on health. Currently, that data is too large and copious for even super computers to handle. With this development, data analysis processes will exist to help identify all sorts of incredible health factors, transforming the way we live and the way we interact with our environment from a health perspective.

Artificial intelligence in making diagnoses

Although human beings are still superior when it comes to decision making based on real data, AI is quickly catching up. And the advantage here is that, while humans have a limited capacity in terms of the work they can perform in defined periods of time (think of overworked consultants and physicians), AI-driven devices do not have that limit. Not only does this promise to exponentially increase the number of diagnoses that can be made in a quantifiable amount of time, it will also dramatically increase early diagnosis and intervention rates, helping to save countless lives in the process.


Robots are already being used in the healthcare sector – the Da Vinci robot used in surgery is a famous case in point. But robots are involved elsewhere too, from cleaning and delivery tasks within healthcare settings such as hospitals and health centers, to assisting in the lifting of patients in and out of beds and wheelchairs, to even interacting with elderly patients who require company to operating as calming companions to children with autism.

“Robotics is an aspect of technology that really knows no bounds when it comes to the added advantages within the healthcare sector, which is traditionally understaffed and often stretched to the limit in terms of resources,” says Karen Wentworth, a medical lab consultant at WritemyX and BritStudent.

Digital records

This is a more obvious aspect in terms of how technology is changing the healthcare sector, and is already used in plenty of jurisdictions around the world. But think a little more acutely about the advantage of possessing digital health records which can be shared via the cloud.

“Now, your health vitals are not only available to specialists and healthcare workers at the simple click of a button but can also be accessed by you at any given moment to control important elements such as insulin levels, regulate dosages of vital medicines, and regularly report back health statistics which you can use to adapt your diet and routine accordingly,” enthuses Rand Spencer, a physician at 1day2write and NextCoursework.

This is both preventative and proactive healthcare at its very best, and is all facilitated by the ongoing tech revolution.

The use of cyborgs

We truly are living in the realms of futuristic Terminator movies when we start thinking about cyborgs – cybernetic organisms which contain both artificial and organic parts. But we are already there in terms of prosthesis, and developments are taking place in terms of assisting impaired vision, hearing and other senses. Even organ replacements involving semi-artificial components are now becoming the reality, so in this respect, we are already living in the future.

3D printing

Once again, in terms of prothesis and organ creation, 3D printing has already changed the game. But 3D printing is already being trialed for medicines which can be tailored to required individual dosages, and combined so that instead of taking 30 separate pills in any given day, a patient need only take one.

These developments are really just the tip of the iceberg when it comes to developments within the healthcare sector. Machine learning is another tech advance which is already resulting in profound changes and improvements within the sphere. Early diagnosis, treatment, operative surgery, control of symptoms, preventative measures. No aspect of our health will be left untouched.