Some Of The Most Popular Programming Languages

Published on: 02 February 2021 Last Updated on: 24 December 2024

Computers are the future!

If you are thinking about training in this area, there are many different languages that you can learn.

These programming languages are used for various things and choosing to specialize in one of these fields. They even see you acquiring a skill that is highly sought after if you can do the job well.

Below are some of the most common programming languages and what that provide your insight, and help you decide which one to learn.

Front End Developers

If you choose a career path in front-end development. Then you will be working on the user side of applications, programs, and websites.

A front-end developer will code anything that the end-user can see, such as this web page. It is an essential job to help enhance the user experience. When it comes to this type of work, there are three main languages that people use which are;

HTML – Hypertext Markup Language
CSS – Cascading Style Sheets
JS – JavaScript

You may find that a website, application, or other types of software may use one or all three of these languages. Although people may specialize in one, they will most likely know all three.

Each one has its benefits, which is why people use it in conjunction with each other. When you use them cleverly, it is possible to use them to help enhance the end-user experience.

Professional companies will specialize in all three of these languages to help provide their customers with the expertise, and deliver fantastic software or a website.

Back End Developers

As you may expect, a back-end developer will take care of everything that goes on in the background. These are often unseen by the end user. However, without their efforts, the software or website would be unable to perform.

When it comes to back-end development, there are three main languages:

Ruby
Python
Java

Many around the world use these three languages, including the top and most successful companies and websites.

Ruby runs on the Ruby on Rails framework, and it is a simple language to learn.

Java is also very popular, but do not confuse it with JavaScript.

JavaScript has been around for over 20 years. In fact, 90% of Fortune 500 companies use it, and it is extremely versatile.

Python

Python is also a general-use language for programming, and because it is so versatile, it can be used with just about anything.

Aside from these three languages, PHP is also worth mentioning. PHP is a scripting language that’s used for web development.

You can learn this language together with the other programming languages as it’s not as complicated as you think. If you’re a business owner looking for top PHP programmers to hire, contact a reliable agency, and they’ll be able to help you.

If you have the mindset and ability, it is possible to learn all these programming languages, although you may be best specializing in one first before learning more.

Hence, if you are looking for a career that has almost limitless prospects and you want freedom in your life, becoming a specialist is an excellent choice to make.

When you have the skills and expertise, the world is your oyster, and you will be able to work almost anywhere that takes your fancy. One potential benefit is that you can teach yourself or select an online course, so if you already work, you can do it in conjunction with your job.

How AI Can Affect Programming Languages (…and How to Immune Yourself)

Artificial Intelligence (AI) is transforming industries everywhere, and software development is no exception.

As AI gets smarter, it’s possible that some aspects of coding will be automated with the help of AI tools.

Did you know that many are not even learning programs but rather creating websites with just the help of ChatGPT?

Find out how AI might impact programming languages and what you can do to keep up.

AI Will Write Code

AI tools such as GitHub Copilot and OpenAI’s Codex can generate code snippets from natural language prompts.

This could potentially automate certain tasks that developers programmed themselves by developers and, therefore, decrease the need for basic coding skills.

Yet AI is currently not good at solving complex problems or being creative, which is the expertise that a programmer exhibits.

Evolution of Programming Languages

AI could also change the actual languages that programmers use. Perhaps new languages will emerge, or existing ones will get an upgrade to make them more suited for AI.

The languages that are easiest for AIs to understand might become more fashionable in terms of development.

This might mean a different set of skills is in demand in the job market.

How to Stay Relevant

To stay immune to the impact of AI, focus on learning advanced skills that AI can’t easily replicate such as problem-solving, creativity and deep understanding of algorithms and data structures.

There is no point in denying that AI is taking hold of many sectors. It is better to understand your threat than be in denial. Also, keeping up with the latest AI tools and learning how to work with them will give you a competitive edge.

AI is an area where you want to be an early adopter, but you need to know how to use it.

Final Note!

AI is going to change the programming landscape, but that does not mean the end of the world for developers.

Instead, if you have acquired advanced skills, keep learning, and dust off AI as a tool rather than feeling threatened, your programming career is just bound to flourish more. The key is adaptation and being proactive in learning.

Embrace AI, and you won’t be under its threat anymore!

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Process Mining and Data Privacy – Key Points to Remember

The global pandemic of 2020 was challenging for frontline workers, the public, and businesses. Besides a dwindling economy, governments and organizations suffered various setbacks, including exponential data thefts. Security incidents became more costly and harder to contain for the latter due to a drastic operational shift. As per experts, the cost of a data breach reached a record high, shelling $4.24 million per incident on average from affected ventures. As more businesses migrate to the digital world, data security becomes a reason for severe migraine for owners. Keeping the incidents and the present situation in mind, the European Union introduced the General Data Protection Regulation (GDPR) for improved data privacy controls for EU citizens. GDPR requires a thorough evaluation of every software application before its implementation to prevent possible data breaches and loss of customers, employees, and corporate data. Automatically, business process management solutions, like process mining, RPA, automated process discovery, and others, fall under the tight scrutiny of GDPR data privacy guidelines. Process Mining in Business Process Management – A Brief Overview Process mining is an intelligent technology solution enabling owners to build a reliable visual map of business processes elaborating how every task within a process is executed. It captures employee-software system interactions and converts data into event logs. This provides an overview of end-to-end processes. Process mining tools provide task and process insights to evaluate task executions for scaling improvement opportunities. These insights also support informed decision-making pertaining to process efficiencies and complexities. Process mining bridges the gap between traditional model-based processes and data-centric processes for further analysis. There are three basic types of process mining; namely, process discovery to discover a process model capturing the behavior in an event log (collection of events), conformance checking for identifying commonalities and discrepancies between a process model and an event log, and process re-engineering to improve a process model using event logs. In a human-centric process, each event comprises a case identifier, an activity name, a timestamp, and optional attributes such as resources or costs. Usually, a case identifier refers to individuals and includes much personal data. And herein lies the significance of improving data security. The Importance of Data Security in Process Mining Automated process mining relies heavily on enterprise data and captures confidential information about the company or the clients. Data collected during the mining of processes are categorized under the following datasets: Key identifiers: These datasets contain unique information identifying individuals, such as their full names and social security numbers. Quasi-identifiers: These datasets are considered indirect identification of individuals—for example, gender, age, and postal code. Sensitive attributes: Information related to salary, payment, financial statements, and others are private and sensitive for individuals or companies. Insensitive attributes: These datasets contain general or non-risky information not covered by the other features. Given the confidential and sensitive nature of the above-mentioned data, attention to cybersecurity in process mining has gained momentum recently. Also, third parties can offer the latter; therefore, choosing providers with secure products and processes is equally crucial. Any breach in data security can prove costly for the company owners and tarnish customer/client/partner relationships. But the shared responsibility of protecting critical information should rest upon employees. After all, it is said that the usual source of security incidents are current employees and, in certain instances, ex-workers. Respective teams, while handling information, should protect sensitive data at every step of task execution. In order to achieve the same, decisions regarding data transparency and usage should be made aforehand. Most specifically, such decisions involve the type of data used, data extraction methods, data accessibility, data protection, and compliance requirements. On the other hand, process mining can be leveraged to detect silent internal attacks on data. It can quickly identify abnormal behavior in the company’s internal network and indicate apparent security breaches. Therefore, data is integral to process mining, and the security of which should be the core objective of software applications and associated teams. Key Privacy Metrics in Process Mining In order to evaluate the privacy of specific data, owners should decide on particular metrics for measurement. These privacy metrics tally the security level of each data in terms of disclosure and are broadly categorized under the following sub-heads: Bounded knowledge: Data is restricted with specific rules to avoid disclosing confidential information. Need to know: The unnecessary data is eliminated from the system to prevent any breach. This metric controls data access. Protected from disclosure: Data confidentiality is observed during data mining using the classification method. Data quality metrics: These metrics measure the loss of information/benefit, while the complexity criteria validate the efficiency and scalability of different techniques within this scope. Process Mining and Data Capture – Key Points to Consider Since process mining extracts granular data at the process level, care is taken to ensure that any new process doesn’t come into conflict with personal data policies. Owners should also ascertain that software solutions for mining processes comply with the specific data security requirements. Therefore, people involved with the entire system must consider a few data capture points. Access to raw data: The process mining team requires access to corporate data to understand what’s most important for analysis. Here, the company can choose and grant access to specific datasets for further research. Choose the right strategy: Besides mining processes for raw insights, the team also translates the raw data into broad terms and updates it into dashboards. Later on, the respective team can decide what features to focus on. Filter: Occasionally, the company tracks information that doesn’t require further analysis for specific processes. In this case, the data can simply be omitted from the system. Datasets that are sensitive or do not directly impact the business analysis outcome are deleted to maintain the focus only on valid and relevant data. Pseudonymization: Encrypting the information to protect the confidentiality of sensitive information prevents users from correlating them to real data specific, like specific names, addresses, or other PII data. For instance, if the company wishes to maintain secrecy about employees directly involved with process-related tasks can follow this approach. Here, the case identifier’s name is replaced with numbers. Anonymization: This is similar to pseudonymization, where the names are replaced with unique pseudonyms instead of numbers. Hence, unauthorized users cannot identify individuals’ names or confidential information about them from the available data. Conclusion Besides handling data in bulk daily, enterprises using online systems leave behind their digital footprints. These footprints are valuable data captured by process mining to examine how employees execute each process and sub-tasks. Needless to say, mining for such insights is done with the company’s best interests in mind, namely, to optimize operations and resources and derive maximum value. However, such datasets carry sensitive information of various interested parties, any breach of which can prove highly hazardous for all. Therefore, data is the primary source for process miners to carry out their objectives, but the company must ensure the data is handled with care. Hence, data security is a significant factor in process mining. Have A Look :- How to Get Copy of a Divorce Decree 7 Secrets To Make Your Baby Fall Asleep Faster All That You Need To Keep In Mind Before Selling On Facebook

Eufy RoboVac vs. iRobot Roomba: brands comparison 2019

Cleaning is one of the most horrible things one should do while doing domestic chores. If you think genuinely, you will find out that at least a month in the year you spend cleaning. So, why don’t you keep and save this time? Why don’t you get a real autonomous helper, like a true robot vacuum cleaner but also between different brands. In this article, we will look over the eternal war between Eufy RoboVac vs. iRobot Roomba and define which brand should be victorious. Short brand overviews Eufy Eufy is quite young nonetheless quickly uprising brand that provides not only robotic vacuums it is famous for; it also performs other smart devices, lights, and domestic electronics. It is a middle-class oriented brand, so, the robotic vacuum cleaners it offers in the market are of the budget and affordable ones. iRobot Roomba Roomba made by iRobot is a world-famous robot vacuum cleaners brand. Most people when saying about robotic vacuum think about Roomba and vice versa. The brand has a broad line of the robotic vacuums to fit any budget, so if money is not a problem for you then make sure you have Roomba as your robotic device. Otherwise, try to find out models that offer you the same options due to the less price. Brand comparison To make the comparison honest, we will exclude the Roombas of the high price level from the review and will observe those models that can be put in one price row. So, let’s look over the average parameters of those robot vacuums: Roomba 690 Roomba 675 Robovac 11+ Robovac 11S Height 3.6 inches 3.5 inches 3.35 inches 2.85 inches Diameter 13 inches 13.4 inches 12.8 inches 12.8 inches Power 500 Pa 600 Pa 1000 Pa 1300 Pa Bin size 0.3 liters 0.3 liters 0.55 liters 0.6 liters Runtime 60 min 90 min 100 min 100 min Filters HEPA-style HEPA-style Triple-Filter System Triple-Filter System Navigation iAdapt 1.0 iAdapt 1.0 Smart sensors Smart sensors Boundary Yes Yes No No Wi-Fi Yes Yes No No Mobile App iRobot Home App iRobot Home App No No Smart assistant Yes, Amazon Alexa, Google Assistant Yes, Amazon Alexa, Google Assistant No No As you can see, there are advantages and disadvantages to both brands. Eufy robots win the size, power, runtime, and bin size battles. So, if you think these parameters of the first importance, Eufy robot vacuum cleaners will fit you perfectly. The battles that Eufy loses are that of cleaning efficacy, usability, and functionality. Roombas of higher levels work with HEPA filters ― the most efficient filtration technology. HEPA-style filters in Roombas of 600s series are of less efficacy, but still more efficient than the personal triple-filtration system of Eufy products. It doesn’t mean that Eufy triple-filter is terrible, but if you are an allergy sufferer and short of money, then Roomba is your choice anyway. Deep research of the parameters power Suction power is an essential parameter for every vacuum cleaner. The higher power is the more efficient vacuum works. So, the high suction power allows the device to collect every type of dirt without depending on the surface. So, looking at the power, we can see that Eufy Robovac provides more efficient power than Roombas. size Size and dimensions of the device define its maneuverability and ability to get hard-to-reach areas. The thinner the robot vacuum is, the easier it can get under the very low furniture. So, if you have furniture with short legs, maybe Eufy is your choice. bin size Bin size defines how long the robot vacuum will work without emptying the dustbin. The larger dustbin capacity is, the longer the device will move through the rooms vacuuming. As you can see Eufy here is the ultimate winner. runtime A runtime defines how long your vacuum can continue the cleaning process without being recharged. As you can see, Eufy performs excellent in this parameter, but keep in mind that the runtime can change depending on the surface the device works. So, if it vacuums the carpet, it can run shorter than if it works on the hard floor. The same is for Roomba. Connectivity, navigation and other parameters Bellow will be parameters in which Roomba beats Eufy. To be honest, Roombas are smarter than RoboVacs, and you can see it observing their navigation, connectivity, and performance. If you want a fully connected device which you can control remotely via smartphone or with voice command, Roomba is your choice. Although the devices of 600s series are weak in power, size, and dustbin capacity, they are perfect in connectivity. You can schedule the vacuuming a week forward; you can begin the cleaning immediately with one tap of the finger. Navigation is another essential parameter that keeps the robot vacuum cleaner from mistakes. Most autonomous vacuums navigate due to the laser or IR-sensors located on the body of the vacuum cleaner. So, the higher the sensitivity of the sensors, the more efficient navigation a robot vacuum will perform. On this level, Roomba has no rivals nor in the face of Eufy neither in the face of any other brand. The final thoughts The comparison we made above is supposed to help the middle-class customer to choose the best and most efficient robot vacuum cleaner for the home. Both brands are intense rivals and offer a number of exciting models. We described several essential features of each brand, so, now it depends on you which one to choose.

Waterjet Vs. Laser Cutting: Which Is Worth The Hype?

Waterjet and laser cutters can slice through materials that no other cutting tool can. They are invaluable for prototyping products and precision manufacturing. But which one is worth the hype - waterjets or laser cutters? This article provides everything you need to know about waterjet vs laser cutting units. Learn how they work and which one is best for your industrial manufacturing facility. Waterjet Vs Laser Cutting: Unlike the vast majority of blades and saws, waterjets and laser cutters don't have a blade. The lack of a blade makes engraving and detail work much more precise. And, waterjets and laser cutters are computer operated, as to achieve a very high level of precision. Both machines can engrave minute lettering and symbology into a wide range of manufacturing materials. But each machine goes about it a very different way. Both methods of cutting excel with 2D objects and engraving, but which is better: waterjet or laser cutting? What Is Laser Cutting? Laser cutting uses a high-focus laser to cut or engrave materials. Laser cutting is a method of subtractive manufacturing, which means it only takes away material. This is in opposition to additive manufacturing, like 3D printing. Special software guides the lasers using mirrors. A gas power source provides energy to the system, usually in the form of CO2. The CO2 fuels the laser which outputs between 1,500 and 2,600 watts. Some systems implement an additional gas jet to expel the excess material. Laser cutting is a very precise form of subtractive manufacturing. The intense heat of the laser cuts through material like a razor using a precision burn. Laser systems cut material from sheets or large panels. Laser Cutter Materials: Laser cutting systems make precision cuts in a wide range of materials. The only material that a laser cutter is not "cut-out" for is reflective metals. The reflective property of some metal reflects the laser off of the cutting surface, which can be dangerous. Laser cutters are great for cutting glass, wood, plastic, and a wide range of metals. Laser cutters encounter obstacles, however, when trying to cut compound materials. If the material contains multiple materials, then it has multiple melting points. If the material has multiple melting points, then a laser takes longer to cut through it, and cuts can become uneven. Laser cutting systems work the best with flat sheets of material, with a thickness range between 0.1 inches to just under a half-inch. And, most laser cutting systems proficiently perform the functions of cutting, drilling, engraving, welding, ablating, and structuring. What Is Waterjet Cutting? Waterjet cutting systems utilize a high-pressure waterjet to slice through materials. The water is shot through a very fine point and creates over 60,000 pounds of pressure per square inch. For tougher materials, a mixture of water and an abrasive acts like a diamond saw blade. Garnet is a common abrasive for use in waterjet cutters. Aluminum oxide is another common abrasive that you can use with a waterjet cutter. The process of waterjet cutting is a high-speed version of natural erosion. With a big enough waterjet cutter, you can make another grand canyon in a fraction of the time. Read more about how the best water jets can cut through anything nature makes. Waterjet cutters differ from laser cutters in that the power source does not reside with the cutting unit. Since a waterjet cutter outputs between 4 to 7 kilowatts, the water pump is located away from the worksite. This is also true because the water source is rarely nearby your bench. Waterjet Cutting Materials: Unlike a laser cutter, waterjet cutters can effectively cut almost any material. They have no problem cutting through compound materials with multiple material types. The pure pressure of the water jet is enough to cut cleanly through anything. Waterjet cutter units are especially useful for cutting precisely through masonry. They're also good for cutting and structuring stone, thick metals, ceramics, and glass. Waterjets handle thicker material than laser cutters. They can handle material that is up to around 2 inches thick. But they don't do as well with material thinner than 0.4 inches. Level of Waste from Waterjet vs Laser Cutting: Laser cutters create a minimal amount of off-fall and waste. Very little, if any, cleanup is required after cutting. The only waste that laser cutting produces is a small amount of dust that is easily vacuumed up. Waterjet cutting, on the other hand, creates a lot of waste. You might think that waterjet cutting would be cleaner, but it is not. The abrasive material in the water adds a toxic element to the off-fall liquid. For this reason, waterjet cutting requires special waste-water disposal, safety gear, and a bigger project budget. What's the Cost to Purchase and Operate a Waterjet vs Laser Cutter? A plasma laser cutting machine will cost between $15,000 to over $250,000 at the initial purchase. Waterjet cutters are more expensive because they require more specialized materials. They range from $100,000 to around $400,000. On average, either machine will cost around $350k. Expensive industrial machines can exceed $1,000,000. On average, a laser cutter costs between $13 to $20 an hour to operate. Waterjet cutting systems run between $15 to $30 an hour to operate. Final Thoughts: At the end of the day, waterjet cutters cost up to five times more to operate than laser cutters. Waterjet cutters can cut thicker and more complex materials, but they are slower than laser cutters. So, when considering waterjet vs laser cutting, laser cutting will save you time and money. If you like this article on which is better, share it with your friends on social media. And check out the blog for more resources on hardware and gadgets. Thanks for reading! Read Also: How Portable Metrology Tools Are Making Manufacturers More Flexible

Some Of The Most Popular Programming Languages

Front End Developers