In Python, which library is not used for Data Science?1 pointPandasSciPyCaffeNatural Language Toolkit

Break Down the Problem

1. Identify the Libraries: List the libraries mentioned in the question.
2. Determine their Use Cases: Understand the primary use of each library in the context of data science.

Relevant Concepts

• Pandas: Used for data manipulation and analysis.
• SciPy: Used for scientific and technical computing.
• Caffe: A deep learning framework.
• Natural Language Toolkit (NLTK): Used for text and natural language processing tasks.

Analysis and Detail

1. Pandas: Essential for handling and analyzing structured data.
2. SciPy: Important for implementing mathematical algorithms and technical computations necessary in data science.
3. Caffe: Primarily focuses on deep learning and image processing tasks, but is not typically used for data science in a general context.
4. NLTK: An important library for processing and analyzing textual data, widely used in data science.

Verify and Summarize

• Going through the functions and typical applications of each library, Caffe stands out as the library least associated with typical data science tasks when compared to the others.

Final Answer

Caffe is not typically used for data science among the libraries listed.