Class 10 Exam  >  Class 10 Notes  >  Artificial Intelligence for Class 10  >  Worksheet: Advance Python

Worksheet: 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  

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  

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

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

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  

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

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

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

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  

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  

Fill in the Blanks

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

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

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

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

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

True or False

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

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

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

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

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

Short Answer Questions

Q.1: What is the role of Anaconda Navigator in managing Python projects?  

Q.2: Why is Jupyter Notebook considered effective for AI-related projects?  

Q.3: What are the rules for creating a valid identifier in Python?  

Q.4: Explain the difference between implicit and explicit type conversion in Python.  

Q.5: Describe the purpose of the if…else statement in Python.  

Long Answer Questions

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

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

Q.3: Discuss why Python is preferred for AI applications, highlighting its key advantages.  

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

Q.5: Evaluate the importance of decision-making statements in Python and provide examples of different types.

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FAQs on Worksheet: Advance Python - Artificial Intelligence for Class 10

1. What is the Anaconda distribution and why is it popular among data scientists?
Ans. The Anaconda distribution is a free and open-source distribution of the Python and R programming languages that is widely used for scientific computing, data science, and machine learning. It is popular among data scientists because it simplifies package management and deployment, provides a large collection of pre-installed data science libraries, and includes tools like Jupyter Notebook for interactive computing. Anaconda also comes with its own package manager, conda, which makes it easy to install, update, and manage libraries and dependencies.
2. What are the key features of Anaconda that make it suitable for educational purposes?
Ans. Anaconda offers several key features that make it suitable for educational purposes, including an easy-to-use interface, the ability to create isolated environments for different projects, and a comprehensive collection of libraries for various domains such as data analysis, machine learning, and visualization. Additionally, Anaconda includes Jupyter Notebooks, which provide a user-friendly environment for students to write and execute code while documenting their findings, making it an excellent tool for learning programming and data science concepts.
3. How does conda, the package manager in Anaconda, work?
Ans. Conda is a package manager that comes with Anaconda, allowing users to easily install, update, and manage packages and environments. It works by creating isolated environments for different projects, ensuring that dependencies do not conflict with one another. Users can create a new environment using the command `conda create --name myenv` and activate it with `conda activate myenv`. Conda can also resolve dependencies automatically, making it easier to install complex packages that require specific versions of libraries.
4. What are some common libraries included in the Anaconda distribution?
Ans. The Anaconda distribution includes a wide range of commonly used libraries for data science and machine learning. Some of these libraries include NumPy for numerical computing, pandas for data manipulation and analysis, Matplotlib and Seaborn for data visualization, Scikit-learn for machine learning, and TensorFlow and PyTorch for deep learning. These libraries provide essential tools for data scientists to perform data analysis, visualization, and machine learning tasks efficiently.
5. Can Anaconda be used on different operating systems? If so, which ones?
Ans. Yes, Anaconda can be used on multiple operating systems, making it a versatile choice for users. It is compatible with Windows, macOS, and Linux. This cross-platform support allows data scientists and developers to work in their preferred operating system while still utilizing the same powerful tools and libraries provided by the Anaconda distribution. Users can download and install Anaconda on their respective systems from the official Anaconda website.
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