Question

a data scientist develops an algorithm for analyzing social media data. they're writing a blog post about it, and are hoping that other data scientists will try out the algorithm on their own data. they're debating whether to express the algorithm in natural language, flow charts, pseudocode, or python, a general-purpose programming language. which of these is a good argument for expressing the algorithm in python? * 1 point python can be run on any computer that has a python interpreter, so others can try out the algorithm with their own data and not worry about translating the algorithm correctly to a language. python code can be understood by anyone reading the article, from non-technical social media users to fellow data scientists. all computers come with built-in support for python, so the code will run automatically on any reader's computer. only python code can express algorithms on social media data; flow charts and pseudocode cannot.

Answer 1

Python is a good choice for expressing the algorithm in the blog post as it is widely supported, easily understood, and can express algorithms on social media data.

Step-by-step explanation:

A good argument for expressing the algorithm in Python is that Python can be run on any computer that has a Python interpreter, so others can try out the algorithm with their own data without worrying about translating the algorithm correctly to another language. Python code can also be understood by anyone reading the article, from non-technical social media users to fellow data scientists. Additionally, all computers come with built-in support for Python, so the code will run automatically on any reader's computer. Moreover, Python is capable of expressing algorithms on social media data.

Answer 2

The best argument for expressing the algorithm in Python is that Python can be run on any computer that has a Python interpreter, so others can try out the algorithm with their own data and not worry about translating the algorithm correctly to a language.

This is because Python is a widely-used general-purpose programming language with a large community of users and developers. As a result, there are Python interpreters available for a wide variety of operating systems and platforms.

So, Python code is relatively easy to read and understand, even for people who are not programmers. This means that the algorithm will be accessible to a wider audience, including non-technical social media users and fellow data scientists.