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    12Aug, 2024
    LMI buys 3D robot guidance firm, Liberty Robotics
    Liberty Robotics’ VFix technology guides automotive robots using 3D vision to measure six degrees of freedom for large parts or vehicle bodies.

    The Canadian 3D scanning and inspection developer LMI Technologies is buying the US robotic guidance specialist Liberty Robotics for an undisclosed sum. Michigan-based Liberty (formerly known as Liberty Reach), develops 3D machine vision systems to guide robots in automotive, material-handling/packaging, and logistics applications.

    The acquisition will allow LMI to use Liberty Robotics’ strong foothold in North America to expand its global footprint and accelerate its growth in Asia-Pacific and Europe.

    “This acquisition marks a significant milestone in our strategic growth, expanding our solution-based capabilities in the automotive and packaging and logistics industries,” says LMI Technologies CEO, Mark Radford. “Liberty Robotics brings deep expertise in robot integration with large field-of-view snapshot scanning as well as powerful application-level software, including its industry-leading solutions for vision-based robotic guidance and mixed-case palletization that perfectly complement LMI’s advanced smart 3D sensor technology infrastructure and global market presence.”

    Liberty Robotics’ VFix and VGuide systems allow precise end-of-arm robotic guidance for automotive applications such as parts handling and applying coatings and sealers. Its customers include BMW, Tesla, VW, Honda, Toyota, Mercedes-Benz, Nissan, and Stellantis.

    Liberty has used its experience in the automotive industry to develop vision guidance systems for robotic applications in the materials-handling/packaging and logistics sectors. Its VPack and VPick systems support automated mono and mixed-case palletizing, depalletizing, decanting, and delayering for autonomous material handling in logistics centers.

    They can handle mixed pallets of boxes that vary in size, color, and pattern. This will help to drive LMI’s growth in materials-handling applications.

    Unlike contact-based measurements or 2D vision systems, Liberty’s non-contact technologies add 3D shape information for 100% quality control. It also offers AI-based systems that provide deep-learning-driven visual inspection for production processes.

    “We see tremendous synergies between LMI and Liberty Robotics,” says Radford. “Liberty Robotics’ proven technologies and talented team will greatly enhance our ability to deliver integrated, high-value solutions to our customers worldwide. We aim to set new benchmarks in factory automation efficiency and innovation.”

    Ref: Link

    22Jul, 2024
    Six Opportunities for Scientists and Engineers to Learn Programming Using AI Tools Such as ChatGPT
    Six Opportunities for Scientists and Engineers to Learn Programming Using AI Tools Such as ChatGPT

    In today’s scientific and engineering advancement era, AI technologies are revolutionizing how researchers approach programming and data analysis tasks. Here are some opportunities where AI tools like ChatGPT are making a significant impact: personalized tutorials tailored to specific domains, assistance learning complex data visualization libraries and new programming languages, refactoring and understanding legacy code, and challenging assumptions in scientific coding practices. These tools not only expedite learning and enhance productivity but also encourage deeper critical evaluation, fostering innovation and improving code quality across scientific disciplines.

    OPPORTUNITY 1: Using AI to Create Customized Programming Tutorials for Your Domain

    Harnessing AI tools to create personalized programming tutorials tailored to specific scientific or engineering domains is paramount. Traditional tutorials often use generic datasets such as “iris” or “mtcars,” which may lack relevance to learners outside those fields. For example, a geologist learning Python could benefit from tutorials using geological survey data rather than standard datasets like flower measurements or car specifications.

    OPPORTUNITY 2: Using AI to Learn Complex Data Visualization Libraries

    Scientific programmers frequently navigate intricate data visualization tasks. AI can simplify learning complex libraries like Matplotlib or ggplot2 by generating tutorials that align with specific research needs. For instance, a marine biologist aiming to visualize biodiversity trends could receive tailored tutorials on creating dynamic scatterplots that differentiate fish species by color, shape, and size.

    OPPORTUNITY 3: Refactoring Exploratory Code into Maintainable Software

    In scientific research, initial exploratory code often evolves into long-term solutions requiring clarity and maintainability. AI can assist by analyzing code structures and recommending improvements. For example, AI tools can suggest refactoring options such as modularizing analysis scripts or standardizing variable naming conventions, enhancing code readability and sustainability.

    OPPORTUNITY 4: Understanding Inherited Legacy Code

    Scientists frequently inherit complex legacy codes from previous researchers. AI tools can aid by providing detailed explanations and supplementary documentation to demystify inherited codebases. For example, when inheriting climate modeling algorithms, AI can clarify the logic behind temperature variance calculations, facilitating quicker adaptation and modification for new research purposes.

    OPPORTUNITY 5: Learning New Programming Languages on Demand

    Adapting to new programming languages is crucial in scientific endeavors where specific libraries or tools may necessitate rapid skill acquisition. AI can expedite this process by translating example code snippets between languages. For instance, a bioinformatician needing to implement genetic sequence analysis in Julia can utilize AI to translate existing Python scripts into Julia syntax, accelerating the learning curve within their existing computational workflow.

    OPPORTUNITY 6: Questioning Assumptions in Scientific Code

    Ensuring scientific code aligns with accurate assumptions is critical for reliable research outcomes. AI tools can serve as critical evaluators, prompting researchers to justify algorithmic choices and statistical methods. For example, AI can question the rationale behind statistical tests chosen for genomic data analysis, promoting deeper scrutiny of scientific hypotheses and ensuring robust methodological integrity.

    Conclusion

    AI tools like ChatGPT present significant opportunities for scientists and engineers to enhance their programming proficiency and streamline research workflows. By leveraging AI’s capabilities alongside human expertise, researchers can optimize coding practices, accelerate learning of new technologies, and foster rigorous scientific inquiry.

    Reference: https://ieeecs-media.computer.org/media/marketing/cedge_digital/ce-jul24-final.pdf

    8Nov, 2023
    Performance Development: Unlock Your Team’s Potential

    SHRM defines performance management as “the process of maintaining or improving employee job performance through the use of performance assessment tools, coaching, and counseling as well as providing continuous feedback.”

    But far too many organizations stop at the first part — performance assessment — and miss the opportunity to actually improve employee performance. Only about one in four employees strongly agree that their manager provides meaningful feedback to them or that the feedback they receive helps them do better work. And only 21% of employees strongly agree that their performance is managed in a way that motivates them to do outstanding work.

    Best-in-class organizations are integrating continuous feedback and development to enable more effective performance management. This approach is often referred to as performance development — think of it as the place where performance management meets career development — and it can be a great way to unlock your team members’ full potential.

    The benefits of performance development

    Performance development goes beyond traditional employee reviews to focus on fostering continuous growth, skills enhancement, and career progression.

    Investing in a more robust approach to performance management has many benefits, including: 

    • Building emerging skill sets. Skills sets for jobs have changed by around 25% since 2015 — and this number is expected to grow to 65% by 2030. Effective performance management can help your team members identify and learn the in-demand and emerging skills they need to be successful in their current roles — and in their future ones. 
    • Increasing employee engagement. Performance development demonstrates the direct connection between feedback and career growth, motivating employees to go above and beyond at work. In fact, Gallup found that development is a top driver of employee engagement.
    • Reducing turnover. Continuous feedback and development shows your organization’s commitment to an employee’s long-term success, making your team members more likely to stay. The Josh Bersin Company found that organizations that offer ongoing skill development to their employees are 7.2x more likely to retain and engage their employees than those that don’t.
    • Improving business outcomes. Upskilling, engaging, and retaining talented team members through effective performance development practices can make a tremendous impact on your organization’s success. Companies that facilitate career development are 4x more likely to innovate effectively and 2.6x more likely to exceed financial targets.

    Building a performance management program that encourages career development

    Effective performance management is more than an annual event — it’s an ongoing process of goal setting, employee development, performance evaluation, and rewards. Each should be discussed regularly to nurture an engaged, motivated, and highly skilled workforce.

    Align on goals and performance expectations

    Just 50% of employees clearly understand what’s expected of them at work and only 21% strongly agree they have performance metrics that are within their control. Ambiguity and uncertainty around job expectations can hinder performance and negatively impact engagement.

    Discussing goals and expectations with each of your team members is a critical step toward effective performance management. Employees should understand how their success is being measured and feel empowered to accomplish their goals.

    Begin discussions on goal setting during your employee onboarding process by reviewing the job description, organizational goals, and your team member’s expected impact. Work together to build achievable short- and long-term goals, revisiting them during check-ins and performance reviews to gauge progress and make adjustments. 

    Employees whose managers involve them in goal setting are 3.6x more likely than other employees to be engaged, making this a worthwhile step in your performance management process.

    Build and maintain employee development plans

    Every employee has opportunities to learn and develop — and most want to. More than four out of five employees (83%) say that improving their skills is one of their top priorities. 

    Hold regular conversations with your team members to learn about each person’s professional growth goals, career aspirations, and skills they’d like to master. Then find the intersection of your team member’s development goals and your business needs to create a personalized performance development plan for each employee. 

    Performance development should go beyond addressing areas for improvement to also include honing strengths, learning emerging skills, and reskilling. Employees’ top motivation to learn is progress toward career goals, so it’s crucial to get your team members’ feedback and buy-in around their development plan to ensure alignment.

    Update development plans as your team members acquire new skills and identify additional opportunities for professional growth. The most effective development plans are flexible to accommodate evolving needs and interests.

    Provide continuous feedback

    Only 21% of U.S. employees strongly agree they have received meaningful feedback in the last week, with nearly half saying they receive feedback a few times a year or less. In other words, most employees don’t get enough performance feedback to understand what they’re doing well or when they need a course correction.

    Effective performance development requires that feedback be given consistently so employees have the guidance they need to be successful in their roles. Things you can do to make sure this happens include:

    • Initiate casual conversations. Let employees know when you see commendable efforts or teachable moments in their day-to-day work. Frequent feedback lets your team members know how you feel about their current performance and guides their development. Record the feedback in your performance management system so it can be referenced during future performance discussions.
    • Plan regular check-ins. Schedule regular one-on-one meetings to discuss progress toward goals, challenges, and development needs. These informal check-ins are a great opportunity to go in-depth on performance development discussions so you can make necessary adjustments to employee goals and development plans. 
    • Conduct regular performance evaluations. Plan comprehensive performance reviews at regular intervals to assess your employee’s overall performance and goal attainment. If you do performance development well, employees shouldn’t be hearing any feedback for the first time during the review process.

    Reward your team members for professional development

    Rewarding your team members for professional development acknowledges their effort and demonstrates the value your organization places on learning and growth. It can also help you retain employees: Compensation and career progression are among the top reasons for turnover.

    Offer raises and promotions as appropriate to reward your team members for developing their skill sets and gaining new experiences. This is particularly important if your employee’s new competencies or responsibilities qualify them for a higher pay grade or job level according to your compensation strategy.

    Final thoughts: Effective performance management is an ongoing process

    Gone are the days where an annual review is considered sufficient to manage employee performance. Modern teams encourage ongoing performance development to help employees achieve professional growth and meet evolving organizational goals. This approach can help you unlock your team’s full potential and drive your company’s success.

    Resource : https://www.linkedin.com/business/talent/blog/learning-and-development/performance-development

    8Nov, 2023
    The 10 most in-demand hard skills for 2023

    Technical roles are some of the most competitive for employers to fill, so it’s not surprising that many of the most in-demand hard skills align with these roles.

    The most in-demand hard skills this year are:

    1. Software development

    The COVID-19 pandemic accelerated the digital transformation and software development skills are needed to support this shift. Several popular programming languages, including Python, Java, and JavaScript, are also among the most in-demand hard skills for 2023.

    Reskill/upskill: Programming Foundations: Fundamentals with Annyce Davis. Get certified via this learning path: Career Essentials in Software Development

    2. SQL

    Many companies manage and analyze large, complex data sets in order to perform key business functions. SQL is an essential skill to retrieve and understand that data so it can be used to make informed business decisions.

    Reskill/upskill: SQL Essential Training with Walter Shields

    3. Finance

    Finance skills have always been a core need for most businesses, though looming economic uncertainty makes it more important for companies to get their finances in order. Careful planning can help companies forecast for various scenarios so they can adapt to unpredictable market conditions — whether that means an economic contraction or expansion.

    Reskill/upskill: Reading Corporate Financial Statements with Denise Probert

    4. Python

    Python is one of the most used programming languages today — and it will likely remain so for the foreseeable future. Python’s compatibility with all major operating systems and wide range of use cases makes it a worthwhile skill for technical workers to master.

    Reskill/upskill: Python Essential Training with Ryan Mitchell

    5. Java

    Java is another popular open-source programming language. Like Python, it’s platform-independent and has a broad range of applications. It’s most useful for designing web and phone apps, as well as cloud computing, making it hyper-relevant in our increasingly digital world.

    Reskill/upskill: Hands-On Introduction: Java with Angie Jones

    6. Data analysis

    Data is collected in every business function and must be analyzed to gain insights that can be used to make informed decisions. Effective data analytics can help organizations optimize performance and reduce costs.

    Reskill/upskill: Learning Data Analytics: 1 Foundations with Robin Hunt. Get certified with this learning path: Career Essentials in Data Analysis

    7. JavaScript

    JavaScript is a scripting language that’s used to develop dynamic web pages and platforms that automatically update with the latest information and multimedia required. As the most commonly used programming language, JavaScript is already familiar to many developers.

    Reskill/upskill: JavaScript Essential Training with Morten Rand-Hendriksen

    8. Cloud computing

    Cloud computing has largely displaced on-premise software due to increased accessibility, scalability, and cost savings. Engineers with cloud computing skills are still in very high demand as companies build and maintain these solutions. 

    9. Operations

    Operations skills help organizations manage their resources and processes so they run more efficiently. This can result in improved productivity, lower costs, and a stronger competitive advantage.

    Reskill/upskill: Quality Management for Operational Excellence with Richard Chua

    10. Customer relationship management (CRM)

    It’s easier — and less expensive — to retain an existing customer than it is to find a new one. Customer relationship management skills enable workers to build strong relationships with their current and prospective customers so they can increase loyalty and repeat business.

    Resource : https://www.linkedin.com/business/talent/blog/talent-strategy/linkedin-most-in-demand-hard-and-soft-skills

    17Feb, 2023
    Three Things Small Business Owners Should Consider When Looking For An Acquisition

    Just over a year ago, the company I started alongside my co-founder was acquired. This was both a short and long time coming: Any entrepreneur worth their salt will always be on the lookout for a valuable exit opportunity, but rarely do these opportunities evolve into something concrete.

    While my co-founder and I had been in discussions with the company that acquired us for years, there was still an incredible learning curve when it came to navigating the acquisition process. Despite almost always being on our radar, the acquisition highlighted both new challenges and opportunities for our company. Small businesses, in particular, face a unique set of challenges around an acquisition—especially when the potential parent company is much larger.

    Every company is for sale, always.

    One of my company’s board members once told me, “A CEO has two main jobs: raise money and sell the company.” What changes over time are the opportunities for exit and whether there’s a match between those opportunities and your goals. For most of the life of a company, you’re looking for that alignment and it isn’t there because it’s rare.

    That alignment can evolve, too, developing years later even if it wasn’t there the first time around. The company that acquired my company manages casinos and racetracks. At first blush, there wasn’t that synergy we were after. As conversations continued, though, we were able to identify mutually beneficial opportunities in the digital space. Now, my company helps them diversify its business and expand customer reach for its land-based casinos.

    To me, it’s a mistake to not think of yourself as acquisition-minded, no matter where you are in the business development cycle. Entrepreneurs should always be open to the idea and be willing to hear from any and all potential buyers, despite how they may look on paper.

    Prepare, prepare, prepare.

    Being open to an acquisition is one thing, but being thoroughly prepared is another. I recommend having audited financials even if you’re not required to have them, as well as solid employment agreements with everyone who works for you. You should also know where all your formation, legal and other important documents, are and make those readily available.

    Like the old adage goes: Failing to plan is planning to fail. I give major credit to my team for keeping us organized as our company evolved and grew, making what could be a stressful, complicated task an easy one.

    Consider good (and bad) intentions.

    The devil is in the details, and the due diligence process has a lot of details. My philosophy is always to assume good intent on the part of your acquirer—and bad intent on the part of their attorneys and representatives. This is the typical way things proceed, and I’ve been lucky enough not to be surprised.

    Another piece of helpful advice I received was “Never let the other side think they are your only option—even if they are.” Combining this approach with my philosophy on intent helped us remain steadfast in our expectations—without wavering—no matter how many (or few) prospects we had.

    It’s also critical for entrepreneurs to have their own lawyers involved at an early stage of the acquisition process. Much earlier than you might think. Full transparency: It’s a major expense, so your instinct may be to wait until the last minute, but it’s too important to put off. Your company’s attorney represents the interests of the company, not your personal interests. The post-acquisition terms of your employment, compensation and many other issues will need to be memorialized. You want your own personal attorney for that. Entrepreneurs need someone who is negotiating from their (and any other equity holding employees’) point of view.

    Our second year since the acquisition has officially begun, and I’m eager to see how our two companies continue to grow together.

    Resource : https://www.forbes.com/sites/forbestechcouncil/2023/02/15/three-things-small-business-owners-should-consider-when-looking-for-an-acquisition/?sh=5b81f0be7383

    16Feb, 2023
    Why E-Learning: Insights into Online Learning and Development for 2023

    The world today is rapidly progressing on the road to utilization, with the ever increasing number of technical applications that are used to communicate and pass on knowledge. In a traditional classroom, knowledge acquisition is limited to the information the instructor has and that which they can access. However, connecting students to the outside world enhances their ability to construct new knowledge.

    E-learning is an umbrella term that is used to describe a wide variety of electronic ways that enable access to education, and the process in itself. These include: virtual classrooms, web-based learning, computer-based learning, digital collaboration, video and audio recordings, interactive TV and many more. Thus, e-learning is suited to flexible learning methods and distance learning. E-learning can however be coupled with face to face instruction, which is called blended learning.

    History of E-learning 

    E-learning has come a long way since its introduction in the 1990s.The history of the concept can be traced back to the days of distant learning on radio programs in the 1920s. PLATO, the first computer-based education tool, introduced by Professor Don Bitzer in 1960, became an important milestone in the world of e-learning. Its fundamental purpose was to amplify and enhance student literacy. 

    Features of E-Learning 

    1. Association of Diverse Learning Tools 

    Mixed learning tools enable the students to widen their horizons. E-learning platforms typically use combined online assets to their advantage. It comprises a number of instruments that are made accessible to the students and teachers. 

    2. Online Course Listings

    A Learning Management System (LMS) constitutes proper schedules and lists of the courses that they have to offer. The users can easily jump to the course, get a glimpse and enlist just by scrolling through the lists or catalogs. 

    3. User Friendly Interface 

    To kill the monotony of the usual learning, e-learning apps and website have the opportunity to make learning more inclusive and interactive through appealing design, bold aesthetics and engaging interfaces. 

    Evolution of E-Learning

    The last decade transformed e-learning radically. In the early days, courses offered for e-learning were typically custom created, by groups of programmers who were aided by software creating tools. Advancement in technology led to the creation of worldwide web, making the creation of e-learning courses a simpler task, that anyone without programming knowledge could complete.

    Changes in technology brought new hardware like portable computers, which made it very easy for learners to access course material online. Today, many people are using tablets and smart-phones for online classes and web seminars or webinars.

    Types of E-Learning

    E-Learning can be classified by the ways in which it is shared from the instructor, to the student. An informal distribution form of e-learning is one in which the students are trusted to view the available course material, and are not tracked or tested, for completion.

    In the formal distribution form of e-learning, instructors usually keep track and make recordings of learner progress and results. Most educational institutions that offer certifications for students have specific systems and standards for gauging the scores for students.

    Learning Management Systems or LMS is used for tracking scores and to ensure that the students’ standards for each course are maintained. They are platforms that enable users to create good online courses; and also the students to be able to access these courses. These platforms are of different types and they have different capabilities. Some are free while others are offered at a fee.

    Elements of E-Learning

    When creating an online course, there are a number of criterion to be met. Setting a list of criterion ensures that students benefit fully from the course they signed up for.
    Some common elements of e-Learning are as follows:

    1. The role played by the teacher/instructor is vital. He/she is necessary to offer necessary feedback to students. He/she is also sometimes responsible for keeping students’ progress or scores.
    2. A well-organized Learning Management System is necessary. It should be easily navigable by both the student and the instructor.
    3. The learning material is the key feature in e-learning. Usually, course material is formatted in a way that is simple and easily accessible for students.
    4. Communication is important for learning. To be able to access online coursework from the instructor, students have to use one or more of the many modes of communication or delivery methods.

    There is a myriad of devices today that allow teachers and learners to share knowledge. The trainer connects to viewers or listeners interactively, using multimedia, voice communications, videos (live or prerecorded), presentations, product demonstrations and text chats, mostly over the internet.

    Importance of E-Learning 

    E-learning was introduced to promote student literacy. With the development of technology and advent of a variety of websites and apps that support e-learning, the users have been empowered to get basic education and skills. 

    E-learning has aggregated all the  tutors, experts, learners and practitioners into a single place. The audio visual technologies have deducted the monotonous methods of teaching. 

    How Does Online Learning Work? 

    Online learning can be practiced through various platforms such as Skillshare and Google Classroom. A compact course catalog is available for the users to choose whatever course they would prefer. A pre-determined learning module is laid out by the tutors for each course. The user simply has to sign up and complete the course. 

    Advantages of E-Learning

    E-learning platforms possess tech-savvy and smart tools for the users to gain access to top notch content and knowledge. 

    1. Multimedia Tools

    From graphics to engrossing video clips, the e-learning process makes studying compelling. Instead of going through mundane lessons, the e-learning platforms have high-tech multimedia tools to engage with the users. 

    2. Sensory Engagement 

    E-learning tools and features increase the sensory engagement of the users. The learning methods require the learners to actively use their ears, eyes and hands while taking a lesson. This engagement makes the user involved in the particular assignment. 

    3. More Customization

    Each individual has a different set of skills. The pace and the power of retention is contrasting in every user. E-learning platforms acknowledge this fact and thus offer an individual experience for every user. 

    4. Course Correction 

    The e-learning platforms provide immediate feedback to the students. The users are corrected at once and are directed towards the right answer. The first hand feedback clears the queries of the users. 

    5. Speed 

    Instead of wasting time,the e-learning users can speed up the learning process.If the users already have the required knowledge of the subject, they can test their knowledge through mock tests and thus save time and resources. 

    6. Learner Satisfaction 

    Result boards, certificates and metrics provided by e-learning to its users boosts up the confidence of the users. It satisfies the users as they get to see the fruit of their labor. 

    7. Data and Analytics 

    With the help of data and analytics, the user responses can be checked. The Learning Management system can learn from the responses of the users and carry out the necessary changes.

    8. Standardization 

    The e-learning system makes its content and material user friendly to engage the user. Shaping learning methods as per the user’s need makes it easier for the user to absorb and retain better. 

    9. Frequent Assignments 

    There are plenty of mock tests, quizzes and assignments on each e-learning platform for the users to put their knowledge to test. These assignments not only help the user to use their knowledge but it also boosts their confidence. 

    10. Eco friendly and Maintainable 

    E-learning tools do not waste resources and instead are good for the environment. These tools use less energy and carry out better results. 

    11. Scalability 

    The e-learning system reflects the ability to allow a number of users to connect from all over the globe. It manages and organizes the users into various branches without delays. 

    Disadvantages of E-Learning 

    While there is always another side to the coin, e-learning too has some disadvantages to itself. 

    1. Social Isolation 

    The users of the e-learning platforms often learn to shy away from the real world. Sitting in their personal space, the users resist going out in outer spaces. They isolate themselves from society and thus find themselves alone.

    2. Lack of Technological Literacy 

    Not everyone has access to technology and resources. For those who have access may not know how to operate. A large section of the society is still unable to afford or gain access to the resources and devices required for the e-learning process.

    3. Lack of Time Management Skills 

    The users of the e-learning platforms are often observed to procrastinate. The users toss aside their lessons for the next day because they have the alternative to access the learning material at any time they prefer. The users hence develop poor time management skills. 

    In a fast-pacing, technology-oriented world of today, people are adopting technology and finding new ways to integrate it in support of education. E-learning is leading the way, redefining ways in which knowledge is acquired.

    Resource : https://www.simplilearn.com/why-e-learning-article

    16Feb, 2023
    Top 10 Careers in Science

    For most people, a job in science is profitable, fulfilling, innovative, and demanding. It allows you to expand and increase your information while also assisting you in comprehending your surroundings and the people around you. Knowing about various science occupations might help you make the best career decision. This article will look at several science occupations, critical tasks, and average salaries to help you choose the correct path and careers in science.

    Top Science Careers to Look For in 2022

    Science is a multi-disciplined field with a significant potential for progress. It offers a dynamic work atmosphere and an extensive learning and exploration area.  Let’s explore various careers in science now.

    Physicist

    Physics researchers look into the qualities of matter, energy, and time. A few physicists usually conduct further theoretical research to find out more about how the universe actually works. In contrast, others run applied research to apply theoretical knowledge to actual processes or devices to improve the technology we use. 

    Physics helps in answering vital issues like how the universe came into existence and what are the natural principles that govern the interactions between energy and matter.  Physics research may be utilized to develop new communication systems, alternative energy sources, and more sophisticated medical technologies.

    Chemist

    A chemist can also be regarded as a scientist who studies the characteristics and reactions of chemicals. They examine a variety of chemical substances, both organic and inorganic. They experiment with chemical substances to better understand their behavior, produce new compounds, or improve current ones. Their key responsibilities include doing quality control checks on chemical experiments and providing reports on the test and analysis findings and conclusions.

    Astronomer

    Astronomers investigate space structures such as stars, planets, galaxies, and black holes. They study these items’ features, movements, and compositions, recording and analyzing data meticulously. This is another science that requires the ability to do complex mathematical calculations. Astronomers employ telescopes and other ground-based equipment and equipment that has already been launched into space, such as the Hubble Space Telescope, to conduct their research.

    Spacetech

    While doctors, engineers, biologists, and pharmacists are unquestionable employment alternatives for scientific students, young individuals’ interest in space sciences is slowly growing. Nonetheless, as technology becomes more integrated into practically every field of study, space technology is gaining traction.

    To work in the space technology industry, you’ll need a bachelor’s degree in space sciences and mechanical engineering. However, for those interested in unraveling the secrets of space. Also, this is quite an exciting career option for people who are interested in space.

    The ones who work in space technology and science can earn a few thousand to a few lakhs per month. The scope of this discipline is still expanding, creating limitless chances for advancement.

    Geology

    Geology is for you interested in rocks, Earth, soil, and land. Geologists are scientists who specialize in Earth and soil science. These experts examine a region and foresee probable threats such as earthquakes and volcanoes. Based on this research, they produce designs for builders and construction businesses to build structures.

    Geology is a vital yet underappreciated and unusual science. A four-year bachelor’s degree in geology can be combined with a master’s or PhD for further specialization to become a geologist. The income is not as high as the professions indicated above because it is a relatively underestimated and unorthodox topic of study. However, because this is a passion-driven job, earnings increase as expenses increase. Starting salaries might range from INR 3.5 lakh to INR 5 lakh per year.

    Geoscientists

    Do you prefer to study something closer to home? Geoscientists examine the structure, composition, processes, and physical qualities of the Earth. By understanding more about the Earth, these scientists can better appreciate its history and predict future changes. Geology, geochemistry, geophysics, petroleum geology, seismology, oceanography, paleontology, and engineering geology are all disciplines within the geosciences subject. Which geosciences profession is best for you? It depends upon what you want to learn and how you want to apply your knowledge. 

    Geoscientists investigate everything from rock formation to earthquakes, and their job can range from theoretical studies to utilizing their knowledge to find petroleum deposits for drilling. Diverse types of geoscientists may pursue quite different objectives. Some people work to protect the environment or restore it, while others look for petroleum or other natural resources.

    Data Analyst

    A data analyst collects and organizes disparate data to produce a valid result. They create databases and data collection systems and deploy them. Their primary responsibility is to find, analyze, and interpret data trends and patterns from a large quantity of data. They collect insightful data and establish company plans using statistical techniques and various data analysis technologies. 

    A data analyst requires an advanced understanding of several data analysis tools, statistics, math, and communication skills. To become a data analyst, you can study computer modeling, analytics, or related disciplines in your bachelor’s or master’s degree.

    Atmospheric Researchers

    Do you have a wish to become a weather forecaster? Why not look into climate change? Atmospheric scientists are experts who study the atmosphere to understand better and solve problems ranging from severe storms and air pollution to droughts and climate change impacts. Atmospheric scientists collect temperature, humidity, pressure, and wind speed. 

    They use mathematical and computer models to examine the information. Atmospheric scientists utilize their meteorological data to convey present weather conditions and – and perhaps more crucially – to forecast future weather conditions, both in the immediate and long term. 

    Atmospheric scientists issue a public warning if severe weather risks injury or property damage. Weather balloons, satellites, radar systems, and computer software are among the equipment used by atmospheric scientists in their studies.

    Zoology

    Animal anatomy, physiology, development, and categorization are all studied in zoology, a branch of biology that examines animals and animal life. A zoologist is a scientist who specializes in the study of animals.

    Biotechnology

    A Biotechnology course will pique your interest if you are interested in biology and are fascinated by the dynamics of technology. Furthermore, combining Nanotechnology and Biotechnology courses opens up many professional options, particularly in research and academia. To advance in this sector, you can pursue a BSc in Biotechnology or a BTech in Biotechnology.

    Resource : https://www.simplilearn.com/careers-in-science-article

    2Feb, 2023
    Know All About Range in Python [Syntax, Parameters, Examples included]

    A built-in function in Python using which a sequence of numbers is generated within a given range is called range in Python. To implement range in Python, you need to make use of a function called range() function. 

    Necessity to Use Range() Function in Python:

    • Whenever an action needs to be performed a certain number of times, then you must make use of range in Python to generate a sequence of numbers within a given range.
    • The range() function is used in loops like for loop, while loop etc. to iterate through the sequences.

    Range() Function Is in Three Different Ways

    Range() Function Is in Three Different Ways Based on the Parameters You Are Passing to the Function. They Are:

    • range(stop)
    • range(start, stop)
    • range(start, stop, step)

    The syntax to define range() function in Python is as follows:

    range(stop)

    where,

    • Stop represents the integer till which the sequence of integers should be generated
    • The sequence of integers is generated using the range() function, by passing just one argument stop, begins from 0

    Example 1:

    Python program to show the range() function in Python by passing just one argument stop to the range() function, to generate a sequence of integers and display the output on the screen:

    #defining a for loop to iterate through the generated sequence of numbers starting from 0 to 4 using range() function

    for each_element in range(5):

    print("The first value is = ", each_element)

print()

    You can see the output of the above program in the snapshot below:

    RangeInPythonEx1

    range(start, stop)

    where,

    • Start represents the integer from which the sequence of integers must begin
    • Stop represents the integer till which the sequence of integers that must be generated
    • The sequence of integers generated using range() function by passing two arguments start and stop, begins from the integer specified as start till the integer specified as stop, but not including the integer stop

    Example 2:

    Python program to demonstrate the range() function in Python by passing two arguments start and stop to the range() function, to generate a sequence of integers and display the output on the screen: 

    #defining a for loop to iterate through the generated sequence of numbers starting from 1 to 5 using range() function

    for each_element in range(1,6):

    print(“The first value is = “, each_element)

    print()

    You can see the output of the above program in the snapshot below:

    RangeInPythonEx2png

    range(start, stop, step) 

    where,

    • Start represents the integer from which the sequence of integers must begin
    • Stop represents the integer till which the sequence of integers that must be generated
    • Step represents the difference between consecutive integers in the generated sequence
    •  If the argument step is not specified in the range() function, then the value of the step is 1 by default for the sequence of integers generated
    • The sequence of integers generated using range() function by passing three arguments- start, stop and step begins from the integer specified as start till the integer specified as stop, but not including the integer stop

    Example 3:

    Python program to demonstrate the range() function in Python by passing three arguments start, stop and step, to the range() function to generate a sequence of integers and display the output on the screen:

    #defining a for loop to iterate through the generated sequence of numbers starting from 1 till 6 with a difference of 2 between consecutive integers in the generated sequence using range() function

    for each_element in range(1,6, 2):

    print("The first value is = ", each_element)

print()

    The output of the above program is shown in the snapshot below:

    RangeInPythonEx3

    Incrementing With Range and Decrementing With Range

    • The step value passed as an argument to the range() function can be a positive value or negative value
    • If the step value passed as an argument to the range() function is positive, then the generated sequence using the range() function is an incrementing range with the step, as the difference between consecutive integers in the generated sequence
    • If the step value passed as an argument to the range() function is negative, then the generated sequence using the range() function is a decrementing range, with the step as the difference between consecutive integers in the generated sequence

    Example 4:

    Python program to demonstrate incrementing with range and decrementing with the range using range() function in Python to generate a sequence of integers and display the output on the screen: 

    #defining a for loop to iterate through the generated sequence of numbers starting from 1 to 10 with a difference of 3 between consecutive integers in the generated sequence using range() function

    for each_element in range(1,10, 3):

    print("The first value is = ", each_element)

print()

    #defining a for loop to iterate through the generated sequence of numbers starting from 10 till 1 with a difference of -3 between consecutive integers in the generated sequence using range() function

    for each_element in range(10,1, -3):

    print("The first value is = ", each_element)

print()

    The output of the above program is shown in the snapshot below:

    RangeInPythonEx4

    Concatenation of the Result of Two Range() Functions:

    • The sequence of integers generated using two different range() functions can be concatenated using the chain() function
    • The chain() function iterates through the generated sequence of integers from each range() function passed as arguments to the chain() function one after the other

    The syntax to define chain() function is as follows:

    chain(range, range1)

    where range represents the first range() function to generate a sequence of integers to be concatenated with the sequence of integers generated from the second range() function specified as range 1.

    Example 5:

    Python program to demonstrate chain() function in Python to concatenate two sequences of integers generated from two range() functions and display the output on the screen:

    #importing the module chain
from itertools import chain
#using chain() function to concatenate the sequence of integers generated from two range() functions
con_seq = chain(range(3), range(5,3,-1))
#defining a for loop to iterate through the sequence of numbers generated using chain() function
for each_element in con_seq:
print("The first value is = ", each_element)
print()

    The output of the above program is shown in the snapshot below:

    RangeEx5

    Looking forward to making a move to the programming field? Take up the Python Training Course and begin your career as a professional Python programmer

    Resource : https://www.simplilearn.com/tutorials/python-tutorial/range-in-python

    19Jan, 2023
    5 most in-demand career skills to learn in 2023

    When we think about our careers i.e. future, it is obvious that in a more advanced world, there will be more automated operations than today. Artificial intelligence has been introduced into many industrial activities and is expanding.

    There are many such skills that if you start learning now, you will get a lot of help in the future. Today we will know about the Top 5 Career Skills in Hindi 2023, which will enable us to live our life well in future.

    We know that if we work well for 2-3 years on any one Career Skill, then we get to learn a lot in it and our career becomes mine in it. If you start learning all these Career Skills then your future will be bright in 2023 and will be in massive demand within 2-3 years.

    Data Analytics

    This question must have come into your mind! The simplest definition of analytics is “thе ѕссiеnсе оf аnаlуѕiѕ” However, a practical definition can be “Data analysis refers to the technique of collecting raw data, analyzing it, and transforming it into information that can be used to draw a specific conclusion can be done to reach.

    A career in data analytics in India is growing rapidly with increasing demands of data analysts in large companies which are using big data and analytics tools. A person going for a career in data analytics should be competent enough to do in-depth research on the subject,

    Artificial Intelligence and Machine Learning

    Artificial intelligence is a software program that mimics the way humans learn and solve complex problems. These systems are different from other applications which mainly decide the process of transactions which are explicitly programmed.

    Machine learning is a subfield of artificial intelligence, under which the term refers to the ability of IT systems to independently find solutions to problems by recognizing patterns in databases. In other words: Machine learning enables IT systems to recognize patterns and develop adequate solution concepts based on existing algorithms and data sets.

    Digital Marketing

    Digital marketing refers to the marketing of products and services through the Internet and related channels.

    Digital marketing can help promote a brand using various digital channels, such as search engines, social networks, email, mobile, etc.

    Mobile Application Development

    Mobile App Development is a program that helps you develop apps for small and wireless computing devices.

    Earlier mobile applications were migrated from PC applications to mobile devices. But as mobile applications become more reliable, mobile application developers are moving towards a more sophisticated approach, which involves writing specifically for the mobile environment.

    Sales and Customer Skills

    Skills are essential to being a good salesperson. You must have a variety of skills to be good at sales. You have to understand people, marketing, business and etc.

    To be good in sales completely depends on you and you can learn how to be the best in sales.

    Resource : https://www.dnaindia.com/lifestyle/report-5-most-in-demand-career-skills-to-learn-in-2023-3015294

    10Jan, 2023
    Java Developer Roadmap in 2023

    Table of Contents

    Java: A Brief Look

    Who Is a Java Developer?

    Exception Handling 

    Multithreading

    Java Input Output 

    Advanced Java

    Core Java

    The Java Developer Roadmap

    Mandatory Skills for Java Developers

    General Knowledge Development Skills for Your Java Developer Roadmap

    Java Developer Career Options

    How Would You Like a Cloud-Based Java Developer Career?

    By the end of 2021, Java was ranked the second most popular programming language on the TIOBE index, topped only by Python. The Index measures the popularity of different programming languages and is updated monthly.

    Thus, the future of Java looks bright, showing us that there will still be a strong demand for Java programming professionals like full-stack Java developers for the foreseeable future. So, let’s look at the Java developer roadmap for 2023 and see how to best leverage Java knowledge into an exciting and lucrative career.

    We will also give a quick Java introduction and the role of Java in cloud computing in the context of developer career options.

    Java: A Brief Look

    According to Java’s website, Java is “is a programming language and computing platform first released by Sun Microsystems in 1995.” Java is an object-oriented, class-based, general-purpose language widely used for coding applications and has been popular among developers for over 20 years. The compiled code of a Java application (called “bytecode”) runs on most operating systems, including Windows, Mac OS, and Linux.

    Java was created by Sun engineers known as the Green Team as a language for digital devices such as set-top boxes and televisions. However, the language was too complex for machines at the time, but it was an excellent fit for Internet programming. Java was first known as “Greentalk,” then “Oak,” and finally “Java.”

    There have been 19 versions of Java released thus far, with the 20th version slated for a March 2022 release.

    Who Is a Java Developer?

    A Java developer takes care of developing software and applications using Java programming. He/she collaborates with other software engineers and web developers to utilize Java for developing applications, websites, and more.

    A Java developer needs to be active until the end of the whole development life cycle of a solution or product. A developer also needs to be capable of analyzing and identifying technical problems concerning Java language and should come up with efficient, workable solutions. 

    Exception Handling 

    In Java, exception means an event that interrupts the normal flow of events in a program. Exception handling is a method to handle runtime errors such as RemoteException, IOExcpetion, SQLException, etc. 

    Multithreading

    A thread in Java refers to a lightweight process demanding fewer resources to create and share the process resources. Multithreading means a process of executing two or more threads at one time for the utmost utilization of the CPU. 

    Java Input Output 

    Java input-output is a crucial concept while working on Java programming. It includes elements such as input, output, and stream. Input refers to the data we provide to the program, whereas Output is the data we receive from the program. Stream represents the sequence of flow of the data. 

    Advanced Java

    To take a giant leap in Java learning, you should be familiar with the following concepts: 

    • Servlets
    • Java Persistence API
    • Java Database Connectivity 
    • JAX-RS
    • Thymeleaf
    • Design patterns

    Core Java

    Core Java is used to build computing or desktop applications. It is essentially based on single-tier architecture. 

    The Java Developer Roadmap

    Let’s explore the roadmap for becoming a full-stack Java developer. Full-stack developers can work equally well with front-end and back-end software (also called client-side and server-side, respectively), and this versatility puts them in high demand. Full-stack developers can do it all.

    Note that this Java developer roadmap is not the only one available. There are many paths up the mountain, as the saying goes. However, this particular roadmap offers a balanced, comprehensive, and realistic approach.

    Front-End Development

    These tools and skills are the foundations upon which you will build the rest of your Java developer roadmap. You should master these fundamental web development tools:

    You then need to familiarize yourself with Integrated Development Environments (IDE):

    • Sublime Text 3
    • Visual Studio Code IDE

    And, of course, since you’re focusing on front-end development, you need to know front-end frameworks like:

    Finally, you should become familiar with User Interface (UI) libraries like Bootstrap CSS and Material UI.

    Back-End Development

    For starters, you obviously need to master Core Java, including Java 8 features, also known as Java functional programming.

    Speaking of Java, back-end developers also need to learn Java build tools like:

    Like the front-end technology, back-end development has its IDEs:

    • Eclipse IDE
    • Intellij IDEA
    • Spring Tool Suite

    Back-end developers need to work with different databases, so they should become familiar with No SQL and relational databases like:

    No SQL databases

    Relational databases

    • MS-SQL Server
    • MySQL
    • Oracle
    • PostgreSQL
    • SQL Server

    Cloud databases

    • CosmosDB
    • DynamoDB

    Other necessary back-end technologies include:

    Build DAO/Repository Layers

    • JPA/Hibernate
    • Spring Data JPA

    Build REST APIs in Java

    • Jersey REST Framework
    • RestEasy Framework
    • Spring Boot

    Secure REST APIs using Spring Security

    • Authentication
    • JWT
    • Role-based authorization

    Mandatory Skills for Java Developers

    • Linux: As most of the Java applications are server-side, they typically run on Linux servers. Hence, it is critical to learn some Linux commands and concepts related to various functions. 
    • Data structures and algorithms: Data structures and algorithms are building blocks of any programming language. Data structures such as linkedin list, binary tree, hash table, queue, etc are important ones to learn.  
    • Fundamentals of computer science: It is crucial to be aware of fundamentals before learning any language. It helps in creating robust web or software applications. 
    • SQL: Learning SQL helps troubleshoot backend issues like a pro. 
    • Git and Github: As a Java programmer it is extremely important to be familiar with Git and GitHub concepts. They are popular version control systems. 

    Build Tools

    In order to build Java projects, you should be familiar with various build tools. Following are some of the tools for building your Java project: 

    • Ant
    • Maven
    • Gradle

    Servers

    Deploying should be ready once you have developed your web application. Deploying happens on servers; hence, you should be aware of them. Following are some of the servers that you can use to deploy your web applications: 

    • Weblogic
    • WebSphere
    • Jetty
    • JBOSS
    • Tomcat

    Java APIs

    APIs are very important software components packed with the JDK. They generally include interfaces, user interfaces, and classes. They facilitate developers to integrate numerous websites and applications whilst offering real-time information. Following are some of the Java APIs to learn about:

    • Java IO
    • Java concurrency 
    • Java collections framework 

    Java Frameworks

    Java has a broad ecosystem, which means that there are various frameworks and libraries for anything and everything. Some frameworks a Java developer should learn are as follows: 

    • Hibernate
    • Log4j
    • JUnit
    • Spring boot
    • Spring

    Testing

    Testing is a critical skill for Java developers, especially integration testing, unit testing, and automation testing. JUnit and Mockito are two of the most famous unit testing and mock libraries. More advanced libraries, such as Robot Framework and Cucumber are also helpful in various cases. On the other hand, though Mockito is a vast library, other libraries can also be helpful such as EasyMock and PowerMock.   

    Utility Libraries

    From sending an HTTP request to parsing JSON, you will have libraries to perform almost anything in Java. Utility libraries such as Google Guava and Apache Commons are crucial for any Java developer as they optimally complement JDK libraries. 

    ORM 

    ORM means Object Relational Mapping. It is a middlemen application tool sitting between a web application and a database. It converts data between Java objects and database tables. Following are some of the ORM tools: 

    • EclipseLink
    • OpenJPA
    • MyBatis
    • TopLink

    General Knowledge Development Skills for Your Java Developer Roadmap

    • Learn about GIT and how to create a few repositories on GitHub. Make sure to share your coding with others. GIT is a valuable tool for version control and project management.
    • Familiarize yourself with HTTP(S) protocol, request methods (DELETE, GET, OPTIONS, POST, PUT, PATCH).
    • If you haven’t become a Google search expert, learn how, especially using advanced search techniques.
    • Read up on algorithms and data structures.
    • Learn about Docker and how to deploy projects in Docker containers.
    • Learn Jenkins to help you master the concepts of Continuous Integration/Continuous Deployment (CI/CD).
    • Project management software like Jira, to help track issues and bugs.

    Deployment

    The cloud is the future, so master deployment with:

    Testing

    Familiarize yourself with a handful of Behavior, Integration, Load, and Unit testing resources like:

    • Assertj
    • CitrusFramework
    • Cucumber-jvm
    • Gatling
    • Hoverfly-java
    • Mockserver
    • Rest-assured
    • Truth

    Also, consider learning Selenium to cover end-to-end testing chores.

    There are other resources you can tack on to your roadmap. For example, some roadmaps get tremendously complex and inclusive, adding elements such as Logging, Caching, Object-Relational Mapping (ORMs), API Clients, and Task Scheduling. But the above roadmap is a good fit for most aspiring Java developers; you can always add on more skills later!

    Java Developer Career Options

    There are many Java-based developer career options to choose from. They include:

    • Junior Developer: Consider this an entry-level position. Everyone starts here. Junior developers write, test, analyze, and debug code.
    • Senior Developer: They oversee an entire project, write some code, and act as a liaison to management.
    • Java Web Developer: This position typically emphasizes back-end development, and the developer is responsible for deploying and maintaining the code on the server’s side. Since many servers are moving to the cloud these days, developers should have experience and skills in coding within a cloud environment.
    • Java Architect: Conventional architects design buildings. Java architects design and develop an application’s layout.
    • Java EE Developer: These developers build and maintain enterprise-level software and typically get hired by big companies.
    • Java Android Developer: The Android mobile operating system market share is considerably greater than iOS, so there’s a greater demand for professionals who can build or add features to Android-based apps.

    How Would You Like a Cloud-Based Java Developer Career?

    We’ve already touched on Java’s immense popularity, so why not shoot for a career as a Java developer with a focus on cloud computing? After all, cloud computing’s popularity is on the rise, so combining a massively popular programming language with today’s hottest new computing trend is a can’t lose proposition!

    Simplilearn offers a Professional Certificate Program in Cloud Computing in collaboration with the University of California, Irvine. You will learn in-demand cloud computing skills around security, scaling, and building highly resilient infrastructure on the cloud.

    Alternatively, you can explore a career in cloud architecture with Simplilearn’s Cloud Architect Master’s Program. The program teaches you how to master the architectural principles and services of the top cloud platforms, design and deploy highly scalable, fault-tolerant applications and develop skills to transform yourself into an AWS, Azure cloud, and GCP architect.

    Simplilearn also offers many other Java-related programs, including Java Certification Training and Full-Stack Java Developer. So visit Simplilearn today and get locked into a rewarding and exciting career path!

    Find our Full Stack Java Developer Online Bootcamp in top cities:

    NameDatePlace
    Full Stack Java DeveloperCohort starts on 18th Jan 2023,
    Weekend batch    		Your CityView Details
    Mean Stack Developer Course in HyderabadCohort starts on 19th Jan 2023,
    Weekend batch    		HyderabadView Details
    Mean Stack Developer Course in PuneCohort starts on 8th Feb 2023,
    Weekend batch    		PuneView Details

    Resource : https://www.simplilearn.com/java-developer-roadmap-article#advanced_java