ACP Python Programming & Data Science

Question 1

Which Python library is commonly used for data analysis?

Accepted Answer

Pandas

Answer

Pandas is a powerful Python library used for data manipulation and analysis, providing data structures like DataFrames and Series.

Question 2

What is the purpose of NumPy in Python?

Accepted Answer

Handling multi-dimensional arrays

Answer

NumPy provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on them.

Question 3

Which function in Pandas is used to read a CSV file?

Accepted Answer

read_csv()

Answer

The `read_csv()` function in Pandas allows users to import tabular data from CSV files into a DataFrame for analysis.

Question 4

What is the primary advantage of using Anaconda for Python data science?

Accepted Answer

Includes pre-installed libraries and package management

Answer

Anaconda provides an easy-to-use platform with pre-installed libraries, a package manager, and an isolated environment for data science projects.

Question 5

Which Python library is used for data visualization?

Accepted Answer

Matplotlib

Answer

Matplotlib is a widely-used Python library that allows users to create static, animated, and interactive visualizations of data.

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