Question

Which Python library is primarily used for Data Manipulation and Data Frames?

Hint:

\textbf{Remember:} DataFrames in Python → Use \textbf{Pandas}.

Answer 1

Concept: Python provides several libraries for data analysis and manipulation. One of the most widely used libraries for handling structured data is Pandas. Answer: The Python library primarily used for data manipulation and working with data frames is Pandas. Explanation:

Pandas is an open-source Python library designed for data analysis and data handling.
It provides powerful data structures such as:

Series: One-dimensional labeled array.
DataFrame: Two-dimensional table-like structure (rows and columns).

It is widely used in:

Data cleaning and preprocessing
Data analysis
Handling missing data
Reading/writing data (CSV, Excel, SQL)

Example: \begin{verbatim} import pandas as pd data = {"Name": ["Aman", "Riya"], "Marks": [85, 90]} df = pd.DataFrame(data) print(df) \end{verbatim} Conclusion: Pandas is the most commonly used Python library for data manipulation and working with data frames in data science and analytics.