News / Blog: #programmewr

What is a programming language?

A programming language is a specially developed language that a computer understands and can be used to create programs and applications. It consists of a set of commands and syntax that are written by a programmer to create a program.

What is Python?

Python is an object-oriented, interpreted programming language designed for a wide range of applications. It can be used for web development, data analysis, scripting, automation, and more. Python's focus is on readability and brevity of code, allowing programmers to create programs quickly and efficiently. Python is open source software that is available for free and runs on all major platforms.

What is "R"?

R is a programming language and software environment used for statistical computing and graphics. It is widely used for machine learning, data analysis and graphical representation. It is an open source project developed by statisticians and programmers from all over the world. It is also a popular tool for researchers and scientists.

How much do you earn as a programmer?

There's no easy answer to this question, as programmers' salaries depend heavily on where they live, their experience, and the industry they work in. According to the U.S. Bureau of Labor Statistics (BLS), programmers earned an average of $93,244 per year in 2019.

Become a Data Scientist - Study Data Science or not?

Many students and high school graduates ask themselves what, in view of the future, would be a good and thus above all sustainable career choice.

If there is a fundamental interest and talent in the topics of IT, software, programming and statistics and mathematics, a number of possible courses of study could be listed.

Whoever finds the profession of a programmer or data engineer too one-sided should look into the job description of a data scientist.

In contrast to pure programmers, the profession of a Data Scientist combines planning, programming and statistical analysis and can therefore definitely be considered more diversified.

Currently, Data Scientists are highly demanded professionals in the labor market. However, whether labor demand in Data Science will continue to exceed supply remains to be seen.

Because in addition to the traditional route of studying, e.g., computer science or business information systems or bachelor's and master's degree programs directly in the field of Data Science, there are an increasing number of fast-track courses and private training programs designed to impart the skills in demand on the market in a compact or condensed format.

The increasing number of available Data Scientists, the further globalization and flexibilization and the increasing acceptance regarding the possible elimination of the need for a degree, could lower the salary level again, seen in the long term. At the same time, simpler tasks in the day-to-day work of a Data Scientist will be able to be partially or completely taken over by algorithms due to automation and advances in the field of artificial intelligence / AI.