Python 1

Question 1

• has undoubtedly risen to prominence as a versatile and user-friendly programming language.
• Its simplicity and readability have attracted a vast developer community.
• However, like any tool, it comes with its own set of strengths and weaknesses.

Answer 1

Python

Question 2

python advantages

Answer 2

1. readability and simplicity
2. large and active communities
3. versatility
4. extensive libraries
5. open source
6. rapid development

Question 3

Python’s syntax is clean and resembles natural language, making it easy to learn and understand.

Answer 3

• Readability and Simplicity

Question 3

A vast community of developers contributes to Python’s growth, providing extensive support and resources.

Answer 3

• Large and Active Community

Question 4

: Python boasts a rich ecosystem of libraries

Answer 4

extensive libraries

Question 4

Python is applicable in various domains, including web development, data

Answer 4

versatility

Question 5

Being open-source, Python is free to use, modify, and distribute.

Answer 5

open source

Question 6

Python’s interpreted nature and high-level abstractions facilitate rapid prototyping and development

Answer 6

rapid development

Question 7

Python’s interpreted nature can lead to slower execution compared to compiled languages like C++ or Java.However, for many applications, this performance difference is negligible.

Answer 7

speed

Question 8

This limits Python’s ability to fully utilize multiple CPU cores, impacting performance in multi-threaded applications.

Answer 8

• Global Interpreter Lock (GIL)

Question 8

python disadvantages

Answer 8

1. speed
2. global interpreter lock
3. dynamic typing
4. memory consumption

Question 9

While flexible, dynamic typing can sometimes introduce runtime errors if not handled carefully

Answer 9

• Dynamic Typing

Question 10

Python can be relatively memory-intensive compared to other languages.

Answer 10

• Memory Consumption

Question 11

when to use python

Answer 11

1. rapid prototyping and scripting
2. data analytics and machine learning
3. web deveopment
4. automation

Question 12

Its ease of use and speed of development make it ideal for quickly creating prototypes.

Answer 12

• Rapid prototyping and scripting

Question 13

Python’s rich ecosystem of libraries (NumPy, Pandas, Scikit-learn) provides powerful tools for data manipulation and modeling.

Answer 13

• Data analysis and machine learning

Question 14

Frameworks like Django and Flask simplify web application development.

Answer 14

• Web development

Question 14

Python excels at automating tasks, improving productivity

Answer 14

• Automation

Question 14

Unlike many other languages, Python uses —— (specifically indentation) to define code blocks.

Answer 14

indentation, whitespace

Question 15

Comments

Answer 15

• Single-line comments start with #
• Multi-line comments can be enclosed in triple quotes (‘’’ or “””)

Question 15

Data Types

Answer 15

1. numbers
2. string
3. list
4. tuples
5. dictionaries
6. sets

Question 16

Integers, floating-point numbers, complex numbers

Answer 16

• Numbers

Question 17

Textual data enclosed in single or double quotes

Answer 17

• Strings

Question 18

Ordered collections of items

Answer 18

• Lists

Question 19

Immutable ordered collections

Answer 19

• Tuples

Question 20

Unordered collections of key-value pairs

Answer 20

• Dictionaries

Question 20

control flow

Answer 20

1. if else
2. for
3. while
4. break
5. continue

Question 21

Conditional execution

Answer 21

• if-else

Question 21

Unordered collections of unique elements

Answer 21

• Sets

Question 22

Iterating over sequences

Answer 22

• for

Question 22

Looping until a condition is false

Answer 22

while

Question 22

Exits a loop

Answer 22

break

Question 22

Skips the current iteration

Answer 22

continue

Question 23

• Python are simply containers for storing data values.
• Think of them as labeled boxes where you can place different types of information.
• Python doesn’t require you to declare a variable’s type beforehand; it determines the type automatically when you assign a value to it.

Answer 23

Variables

Question 23

data types

Answer 23

1. number
2. string
3. boolean
4. list
5. tuple
6. dictionary
7. set

Question 23

Variable Naming Conventions

Answer 23

• • Variable names can contain letters, numbers, and underscores (_).
• • They must start with a letter or an underscore.
• • Python is case-sensitive, so age and Age are different variables.
• descriptive names for readability