Here are some reasons why Python is expected to continue to grow in popularity

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An object-oriented language is based on the concept of objects that are instances of a class. A class is a blueprint for an object and defines properties (variables) and methods that the object can have. Classes can interact with each other and inherit from a property and methods. In addition to Python, Java and C++ are also object-oriented languages.

Example: The following figure shows the class "Animal", which defines the basic properties that all animals have. The two classes "Cat" and "Dog" inherit the basic properties and supplement them with additional variables and methods. Another feature is that affiliations in Python are regulated by indentation and not by parentheses as in other languages.


Problems of Python
Now I would like to briefly focus on Python’s problems.

1. Performance: Python is an interpreted language, which can make it turkey consumer email list​ slower than compiled languages ​​like C or Java. There is also a global interpreter lock (GIL) that prevents multiple threads from executing Python bytecode at the same time, which further impacts performance.
2. Memory Management: Python consumes a lot of memory compared to other languages ​​and its memory management can lead to memory leaks if not handled properly.
3. Dynamically typed: Python is a dynamically typed language, which can make the code less predictable and harder to maintain. Depending on the use case, this can be both an advantage and a disadvantage.
4. Exception handling: While Python's built-in exception handling is very powerful, it can also make code harder to read and understand if not used correctly.
5. Lack of parallelization: Although Python has libraries for parallel programming, it does not have built-in support for true concurrency.
6. Limited mobile and game development: Python is not well suited for mobile or game development as it is not as fast as languages ​​like C++ and also not as easy to use for graphical elements.
7. Inconsistent library support: The quality and support of third-party libraries can vary widely, making it difficult to decide which libraries to use in a particular project.