Which term describes the ability to read data, manipulate it, and produce basic analyses?

• A. Python
• B. Python fluency
• C. Pandas
• D. Jupyter Notebook

Answer: (B)

The main idea is having practical ability to handle data end-to-end in code. Describing it as Python fluency signals that you can read data from files, clean and transform it, and run basic analyses using Python and its ecosystem. This goes beyond knowing a single library or tool; it speaks to the confident, efficient use of Python to perform the typical data workflow—loading data, filtering or aggregating it, computing simple statistics, and drawing initial insights. While Pandas is a central library that makes many of these tasks easier, the skill described by Python fluency covers the broader capability to apply Python across the entire data-task process. Python refers to the language, and fluency adds the practical proficiency, whereas Jupyter Notebook is just an interactive environment and Pandas is a specific tool within Python for manipulation.