Python- Libraries-Streamlit

Question 1

Define Python.

Answer 1

A high-level, interpreted programming language known for its readability and versatility.

Question 2

What is Pandas used for?

Answer 2

Pandas is a library for data manipulation and analysis, providing data structures like DataFrames.

Question 3

True or false: NumPy is primarily used for numerical computing.

Answer 3

TRUE

NumPy provides support for large, multi-dimensional arrays and matrices.

Question 4

Fill in the blank: Matplotlib is used for _______ in Python.

Answer 4

data visualization

Question 5

What does SciPy extend?

Answer 5

SciPy extends NumPy by adding a collection of mathematical algorithms and convenience functions.

Question 6

Define DataFrame.

Answer 6

A two-dimensional, size-mutable, potentially heterogeneous tabular data structure in Pandas.

Question 7

What is the purpose of Jupyter Notebooks?

Answer 7

Jupyter Notebooks allow interactive computing and data visualization in a web-based format.

Question 8

True or false: Seaborn is built on top of Matplotlib.

Answer 8

TRUE

Seaborn provides a high-level interface for drawing attractive statistical graphics.

Question 9

What is data wrangling?

Answer 9

Data wrangling is the process of cleaning and transforming raw data into a usable format.

Question 10

Fill in the blank: Scikit-learn is a library for _______.

Answer 10

machine learning

Question 11

Define data visualization.

Answer 11

The graphical representation of information and data to communicate insights clearly.

Question 12

What is the main use of statsmodels?

Answer 12

Statsmodels is used for estimating and testing statistical models in Python.

Question 13

True or false: PySpark is used for big data processing.

Answer 13

TRUE

PySpark is the Python API for Apache Spark, enabling large-scale data processing.

Question 14

What does data cleaning involve?

Answer 14

Data cleaning involves correcting or removing inaccurate records from a dataset.

Question 15

Fill in the blank: Plotly is used for _______ in Python.

Answer 15

interactive plotting

Question 16

Define data analysis.

Answer 16

Data analysis is the process of inspecting, cleansing, and modeling data to discover useful information.

Question 17

What is the purpose of data exploration?

Answer 17

Data exploration is the initial step in data analysis to summarize main characteristics.

Question 18

True or false: TensorFlow is primarily used for data visualization.

Answer 18

FALSE

TensorFlow is primarily used for machine learning and deep learning applications.

Question 19

What is the role of data types in Pandas?

Answer 19

Data types define the kind of data stored in a DataFrame’s columns, affecting operations.

Question 20

Fill in the blank: DataFrames can be created from _______.

Answer 20

lists, dictionaries, or external files

Question 21

Define time series analysis.

Answer 21

Time series analysis involves statistical techniques to analyze time-ordered data points.

Question 22

What is the function of groupby in Pandas?

Answer 22

The groupby function is used to split the data into groups based on some criteria.

Question 23

True or false: DataFrames can only hold numeric data.

Answer 23

FALSE

DataFrames can hold various data types, including numeric, string, and datetime.

Question 24

What does data aggregation mean?

Answer 24

Data aggregation is the process of combining data from multiple sources to summarize it.

Question 25

Fill in the blank: **Feature engineering** involves _______ from raw data.

Answer 25

creating new features

Question 26

Define **machine learning**.

Answer 26

Machine learning is a subset of AI that enables systems to learn from data and improve.