Worksheet Solutions: Advance Python | Artificial Intelligence for Class 10 PDF Download

Multiple Choice Questions

Q.1: What is Anaconda primarily used for?
a) Web development
b) Scientific computing
c) Game development
d) Mobile app development
Ans: b) Scientific computing

Explanation: Anaconda is a free and open-source distribution of Python used for scientific computing, including data science, machine learning, large-scale data processing, and predictive analytics.

Q.2: What is the purpose of Anaconda Navigator?
a) To write Python code
b) To manage conda packages, environments, and run programs without command line
c) To compile Python programs
d) To create virtual environments automatically
Ans: b) To manage conda packages, environments, and run programs without command line

Explanation: Anaconda Navigator is a user-friendly desktop interface that allows users to manage conda packages, environments, and channels, and run programs without using command line commands.

Q.3: What is the default kernel for Jupyter Notebook?
a) Python Shell
b) IPython
c) nb_conda
d) Anaconda Prompt
Ans: b) IPython

Explanation: The default kernel for Jupyter Notebook is IPython, which provides programming language support for Python code execution.

Q.4: Which menu in Jupyter Notebook allows you to create checkpoints?
a) Edit Menu
b) View Menu
c) File Menu
d) Kernel Menu
Ans: c) File Menu

Explanation: The File Menu in Jupyter Notebook includes the 'Save and Checkpoint' option, which allows users to create checkpoints to roll back to if needed.

Q.5: Why is Python preferred for AI applications?
a) It is a compiled language
b) It has a simple syntax and extensive libraries
c) It is limited to web development
d) It lacks database connectivity
Ans: b) It has a simple syntax and extensive libraries

Explanation: Python is preferred for AI due to its simplicity, clear syntax, and extensive libraries that are useful for a wide range of problems.

Q.6: Which Python data type is used to store decimal number values?
a) Int
b) Float
c) Complex
d) Boolean
Ans: b) Float

Explanation: The Float data type is used to store decimal number values, such as 50.5.

Q.7: Which symbol is used to start a single-line comment in Python?
a) //
b) /*
c) #
d) --
Ans: c) #

Explanation: A single-line comment in Python begins with the hash symbol (#) and continues until the end of the line.

Q.8: Which operator is used to assign a value to a variable in Python?
a) ==
b) =
c) !=
d) >=
Ans: b) =

Explanation: The assignment operator (=) is used to assign values to variables in Python.

Q.9: What does the elif statement do in Python?
a) Executes a loop
b) Checks another condition if the previous condition is false
c) Assigns a value to a variable
d) Terminates a program
Ans: b) Checks another condition if the previous condition is false

Explanation: The elif statement (else if) checks another condition if the previous if or elif condition is false.

Q.10: Which loop is used to repeat a block of code a specified number of times?
a) While loop
b) For loop
c) Nested loop
d) If loop
Ans: b) For loop

Explanation: The for loop is used to specify how many times a statement or compound statement should be repeated.

Fill in the Blanks

Q.1: Anaconda simplifies __________ management and deployment for Python projects.
Ans: package

Explanation: Anaconda simplifies package management and deployment, allowing users to create virtual environments with different packages and settings.

Q.2: The __________ is a desktop interface for managing Anaconda environments and packages.
Ans: Anaconda Navigator

Explanation: Anaconda Navigator is a user-friendly desktop interface for managing conda packages, environments, and running programs.

Q.3: Jupyter Notebook requires a __________ to provide programming language support.
Ans: kernel

Explanation: A kernel, such as IPython, provides programming language support for Jupyter Notebook to execute code.

Q.4: In Python, a __________ is a name given to a variable, function, or class.
Ans: identifier

Explanation: An identifier is a name given to a variable, function, class, module, or other object in Python.

Q.5: The __________ data type in Python is used to store unordered data without indexes.
Ans: set

Explanation: A set is a collection of unordered data without indexes, declared using curly brackets.

True or False

Q.1: Anaconda is only used for web development projects.
Ans: False

Explanation: Anaconda is used for scientific computing, including data science, machine learning, and predictive analytics, not just web development.

Q.2: Jupyter Notebook supports multiple programming languages besides Python.
Ans: True

Explanation: Jupyter Notebook can support multiple programming languages, although Python is the most common via its default IPython kernel.

Q.3: In Python, keywords can be used as variable names.
Ans: False

Explanation: Keywords are reserved words in Python and cannot be used as variable names, function names, or identifiers.

Q.4: Implicit type conversion in Python requires user intervention.
Ans: False

Explanation: Implicit type conversion is done automatically by Python without user intervention, such as converting an integer to a float during division.

Q.5: The while loop in Python executes as long as a condition is true.
Ans: True

Explanation: The while loop repeatedly executes a block of statements as long as a specified condition remains true.

Short Answer Questions 

Q.1: What is the role of Anaconda Navigator in managing Python projects?
Ans: Anaconda Navigator is a user-friendly desktop interface that allows users to manage conda packages, environments, and channels, and run programs without using command line commands, simplifying project management.
Explanation: Anaconda Navigator provides a graphical interface to manage Python environments and packages, making it easier to navigate and manage projects without command line expertise.

Q.2: Why is Jupyter Notebook considered effective for AI-related projects?
Ans: Jupyter Notebook is effective for AI projects because it mixes code, graphics, narrative prose, and mathematical equations in a single interactive document, encouraging iterative and rapid improvement.
Explanation: The interactive nature of Jupyter Notebook, combining code with visualizations and text, supports the iterative development process critical for AI projects.

Q.3: What are the rules for creating a valid identifier in Python?
Ans: A valid identifier in Python must start with a letter or underscore, can include alphanumeric characters and underscores, cannot use special characters like !, @, #, $, %, and cannot be a keyword. Python is case-sensitive.
Explanation: Identifiers must follow specific rules to ensure they are valid and do not conflict with Python’s reserved keywords or syntax.

Q.4: Explain the difference between implicit and explicit type conversion in Python.
Ans: Implicit type conversion is automatic, where Python converts one data type to another without user intervention (e.g., int to float during division). Explicit type conversion requires the user to use predefined functions like int(), float(), or str() to convert data types.
Explanation: Implicit conversion happens automatically, while explicit conversion, or typecasting, requires user-defined functions to change data types.

Q.5: Describe the purpose of the if…else statement in Python.
Ans: The if…else statement controls the flow of execution by running a block of code if a condition is true and an alternative block if the condition is false, enabling decision-making based on conditions.
Explanation: The if…else statement allows programs to execute different code paths based on whether a specified condition evaluates to true or false.

Long Answer Questions

Q.1: Explain the steps to install Anaconda on a Windows operating system.
Ans: To install Anaconda on Windows:  

• Visit https://www.anaconda.com/distribution/ and select the Windows option.  
• Choose the Python 3.7 version installer based on your PC’s configuration (32-bit or 64-bit) to start the download.  
• Double-click the downloaded installer to launch it.  
• Click “Next” and accept the license agreement by clicking “I Agree.”  
• Select “Just Me” for installation (unless installing for all users, which requires admin privileges) and click “Next.”  
• Choose the destination folder and click “Next.”  
• Keep default PATH options and click “Next.”  
• Wait for the installation to complete and click “Skip” to continue. This process installs Anaconda with its tools, including Anaconda Navigator and Jupyter Notebook.
  Explanation: The installation process ensures Anaconda is set up correctly on Windows, providing access to its suite of tools for scientific computing and AI development.

Q.2: Describe the features of Jupyter Notebook’s menu bar and their functionalities.
Ans: The Jupyter Notebook menu bar includes:  

• File Menu: Create or open notebooks, rename them, and save checkpoints for reverting changes.  
• Edit Menu: Cut, copy, paste, delete, split, merge, or reorder cells.  
• View Menu: Toggle visibility of the header, toolbar, and line numbers, or adjust the cell’s toolbar.  
• Insert Menu: Insert cells above or below the selected cell.  
• Cell Menu: Run single or multiple cells, change cell types, or clear cell outputs.  
• Kernel Menu: Manage the background kernel by restarting, reconnecting, shutting it down, or changing the kernel type.  
• Widgets Menu: Save or clear widget states for dynamic JavaScript content.  
• Help Menu: Access keyboard shortcuts, a user interface tour, and reference materials. These features enhance notebook interactivity and management.
  Explanation: The menu bar provides comprehensive tools to manage notebooks, execute code, and customize the user experience, making Jupyter Notebook versatile for AI tasks.

Q.3: Discuss why Python is preferred for AI applications, highlighting its key advantages.
Ans: Python is the preferred language for AI applications due to:  

• Simplicity: Its clear syntax and straightforward keywords make it easy to read, write, and maintain.  
• Extensive Libraries: Python offers a vast library of built-in functions for data science, machine learning, and AI tasks.  
• Testing and Debugging: Python provides a mode for testing and debugging code snippets, simplifying error detection.  
• Cross-Platform Compatibility: It runs consistently on various operating systems and hardware platforms.  
• Customization: The Python interpreter allows integration of low-level models for efficient tool customization.  
• Database Connectivity: Python supports connections to major databases, offering a structured framework for large-scale systems. These advantages make Python ideal for building advanced AI systems.

Q.4: Explain the different Python data types with examples for each category.
Ans: Python data types include:  

Numbers:  

• Int: Whole numbers, e.g., x = 500.  
• Float: Decimal numbers, e.g., x = 50.5.  
• Complex: Imaginary numbers, e.g., x = 10 + 4j.  
• Boolean: True/False values, e.g., x = 15 > 6.

Sequences:  

• String: Unicode characters, e.g., name = "Rakesh kumar".  
• List: Ordered, mutable collection, e.g., dob = [19, "January", 1995].  
• Tuple: Ordered, immutable collection, e.g., newtuple = (15, 20, 20, 40, 60, 70).

Sets: Unordered, no duplicates, e.g., newset = {10, 20, 30}.  

Dictionary: Unordered key-value pairs, e.g., d = {1: 'Ajay', 'key': 2}. These data types support various programming needs in Python.

Q.5: Evaluate the importance of decision-making statements in Python and provide examples of different types.
Ans: Decision-making statements in Python are crucial for controlling the flow of execution based on conditions, allowing programs to make choices and execute different code paths. They enhance program flexibility and functionality. Types include:  

• If Statement: Executes code if a condition is true, 
  e.g., if num > 0: print(num, "is a positive number.").  
• If…Else Statement: Executes one block if the condition is true, another if false, 
  e.g., if age >= 18: print("You are eligible to vote") else: print("You are not eligible to vote").  
• If-Elif Ladder: Checks multiple conditions sequentially, 
  e.g., if marks > 75: print("A grade") elif marks > 60: print("B grade") else: print("C grade").  
• Nested If Statements: If statements within others, 
  e.g., if num >= 0: if num == 0: print("Zero") else: print("Positive number") else: print("Negative number"). These statements enable complex logic and decision-making in Python programs.

Decision-making statements allow Python programs to handle conditional logic, making them essential for dynamic and responsive applications.