Programming languages form the foundation of the Information Technology and Data Science industries. Software Developers and Data Scientists use different programming languages to build innovative applications for multiple industries, including healthcare, education, IoT, banking & finance, logistics, etc. But which languages are the most worth learning? In this article, we will review the history of software development, list the programming languages known as of today, and come up with their classification into categories. Lastly, we list the top languages with the widest scope of applications which will open the most possibilities for a professional development for you.
When we quit procrastinating during our more productive periods, we feel content and successful. But for the most people, this remains, unfortunately, a transient and ephemeral feeling. In this article, we will discuss how to turn those infrequently occurring moments of flow into regular occurrences. We aim to explain the science behind delaying tasks and introduce practical tactics that will make it simpler to take action and prevent procrastination.
Multiple new algorithms led to the fast development in text-to-image solutions, as well as automated text and code generation. This made millions of white-collar professionals — from artists, through content creators, to software developers — wonder about their future in the job market. So, who should be worried and why? Who will gain the most from the AI revolution that we are all witnessing at the moment? Who will need to retrain and start their career anew, and whose career will accelerate? And, is anyone able to catch up in the first place?
Data Science and Machine Learning have emerged as the new leading directions for development in the IT industry. They lie at the core of almost all innovation in the today’s IT market — like a solid, concrete foundation to any new building crafted by software engineers worldwide. The incoming years will be game-changing in Data Science, as new, cutting-edge technologies make data processing and mining much easier and faster, allowing for the technological revolution to reach a whole new level. In this article, we will review five seminal trends in Data Science and Machine Learning that are likely to dominate the IT industry in the incoming years.
“The Big Four,” namely Apple, Microsoft, Google, and Amazon are considered the dream employers in the IT industry — these leaders of innovation offer great growth opportunities and never suffer from the lack of job candidates. Each of these companies has its own hiring procedures, requirements and offers a unique set of benefits to software developers, including competitive pay, access to cutting-edge tools, extensive training opportunities, and a collaborative and innovative work environment. In this article, we review the most common requirements that you can meet while applying for jobs to these companies, from programming skills, through engineering, to project management frameworks.
As more and more sectors undergo rapid digitalization and experiment with tech, the birth of the Metaverse came at the best time possible and subsequently inspired new investments. The Metaverse’s influence on the tech industry is far reaching. In a relatively short timespan, the development of the Metaverse space prompted innovative changes for numerous industries, including that of retail and real estate, and has likewise changed how recruitment processes are being conducted. In this article, we briefly review three of the most notable Metaverse trends next incoming year.
We observe fast progress in text-to-image algorithms, as well as automated text and code generation. No wonder that millions of content creators and white-collar professionals feel worried about their future career prospects.
So, is there a good reason to fear? In this article, we briefly review recent progress in AI, comment on the possible outcomes on the job market and give a number of tips for how to consciously steer your career. If you fear AI, you should definitely read this article!
Software development is one of the safest and most exciting career directions in IT. However, we live in times of specialization. Therefore, rather than being a jack of all trades, it is better to specialize and become the top expert in one branch of software development who can take active part in building innovation. The most important choice you need to make at the beginning of your career as a developer is: frontend or backend?
Many young professionals representing generation Z, also known as “boomers,” no longer believe in the role of the public education system in their life success. They are eager to learn and start careers on their own rather than spending most creative years of their lives and often, getting in a massive debt, during the years spent at the university. But are they right or wrong by taking this approach? Luckily, there are quite a few specialistic and high-paying jobs without a degree, license or diploma. In this article, we introduce just a few of them.
When Mark Zuckerberg officially renamed Facebook to Meta in November 2021 and announced the plans to create a fully functional Metaverse, he gave the beginning to an explosion of new potential digital career opportunities in such domains as Augmented Reality (AR), Virtual Reality (VR), and NFT space. This is only the top of the iceberg, as this new digital era has just started and we can expect new subgenres of Digital Product Design and increased demand for professionals in this area in the future.
Let’s be real — the job market is currently developing faster than we, as professionals, can follow, skill-wise. In this situation, many high-school students wonder: does it pay off to study in the first place? And if to study, what to choose and what are the jobs of the future? How to make sure that the skills acquired during studies will pay off later on, regardless of the direction in which the job market will develop?