Which of the following statements about Python's advantages are correct?

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Advantages of Python

Compared to other programming languages Python is the most broadly applied by the developers lately. Within the next paragraphs, we will take a look at the advantages of Python programming language for developers in contrast with other languages.

The main Python language advantages are that it is easy to read and easy to learn. It is easier to write a program in Python than in C or C++. With this language, you gain the possibility to think clearly while coding, which also makes the code easier to sustain. Which reduces the cost for maintenance of the program and seen as one of Python programming advantages.

So, what are the advantages of Python that make this language special? The answer is that Python has some unique characteristics that are valuable for programmers because they make coding easier. Another advantage of Python programming is that no bug can originate a segmentation fault.

An important advantage of Python language is that it has wide applicability, and is extensively used by scientists, engineers, and mathematicians. It is for this reason that Python is so useful for prototyping and all kinds of experiments. It is used in many groundbreaking fields. It is also used when producing animation for movies and in machine learning.

The language includes a large library with memory management which is another one of the advantages of Python programming.

A. Python has extensive third-party libraries.
B. Python can call code written in other languages.

Hi friend!
The answer is AB.
Python is a very productive language. Due to the simplicity of Python, developers can focus on solving the problem. They don’t need to spend too much time in understanding the syntax or behavior of the programming language. You write less code and get more things done.
We discussed above that Python is an interpreted language and dynamically-typed language. The line by line execution of code often leads to slow execution.

The dynamic nature of Python is also responsible for the slow speed of Python because it has to do the extra work while executing code. So, Python is not used for purposes where speed is an important aspect of the project.