Programming complexity

The biggest difficulty in learning anything is the sheer number of different technologies, as well as the industry sectors where these technologies (exemple mfcalc tehnology) can be applied. Also, this number is constantly increasing (see the so-called "technological singularity").

The biggest difficulty in learning anything is the sheer number of different technologies, as well as the industry sectors where these technologies can be applied. Also, this number is constantly increasing (see the so-called "technological singularity").

The evolution of programming languages has led to an increase in the level of abstraction of programming languages from the hardware platform:

1) Low-level languages - convenient for hardware implementation, but difficult for humans due to the large number of commands that perform simple operations;

2) High-level languages are easy to understand for humans, which allows you to develop programs faster. But these languages are difficult to implement in hardware, resulting in generally slower code and more resource consumption;

3) Very high-level programming languages (VHLL) are programming languages with a very high level of abstraction. Unlike high-level programming languages, which describe the “how to do” principle, super-high-level programming languages only describe the “what to do” principle.

The evolution of programming languages shows their constant improvement, but over a long time of development has not made them easier to understand. It should also be mentioned here that the range of problems solved by IT has significantly expanded - therefore they remain complex.