Betting vs Investments
Sports betting can be called an investment, the purpose of which is to make a profit over different time periods.
What you shouldn`t write in Python
The problem of Python's poor usability lies not in the capabilities of the programming language itself.
2021-07-08, by ,
#Python || #Apps || #Code ||
Table of contents:
Despite its huge potential and data science from scratch first principles, the language is poorly suited to a number of industries. A striking example is the area of microcontrollers ➖. Domestic "pythonists" convincingly demonstrated the capabilities of the MicroPython tool, but the real list of microcontrollers that Python supports is practically zero.
GUI applications
Another area is cross-platform GUI applications. Python has tools that allow you to write such programs.
In practice, no tool allows you to develop a completely cross-platform application. Inconsistencies, mistakes and other "pitfalls" are constantly encountered. The Commercial Desktop is another questionable area for Python.
Mobile Apps
The development of mobile applications stands alone, like the Python post shows. Real work in the field of Mobile Development, which requires knowledge of "Python", cannot be found on the market. Better to learn other, more traditional tools (example - Java).
The problem of Python's poor usability lies not in the capabilities of the programming language itself, but in market trends and human habits. Programmers are tied to classic tools that are no worse than Python's capabilities. Nevertheless, Python remains one of the most promising programming languages for beginners to learn.
HeadHunter eloquently demonstrates the growing demand for both "Python" and the industries where this programming language is used - see os.path.realpath for details.
