- Explain the purpose of decorators in Python with an example.
- Write a decorator that Calculate Total Price Decorator.
- Write a decorator that authenticate the user username and password.
- Create a generator function that generates Fibonacci numbers.
- What are context managers in Python? Provide an example of using the with the statement.
- How can you implement a custom context manager using the contextlib module?
- Write code to read a large file line by line without loading the entire file into memory.
- Explain what metaclasses are and how they are used in Python.
- Write a metaclass that automatically converts all attribute names to uppercase.
- How can you access the list of attributes and methods of an object using reflection?
- What is dataclasses with example?
- Compare and contrast threading and multiprocessing in Python.
- Write code to create a multithreaded program that calculates the factorial of a number.
- Implement a multiprocessing pool to parallelize a time-consuming task.
- Describe Python's memory management model and the role of reference counting.
- What is cyclic garbage collection? How does it prevent memory leaks?
- Write code that demonstrates circular reference and forces garbage collection.
- Discuss the Singleton design pattern and provide a Python implementation.
- Implement a decorator that logs function calls along with their arguments.
- Explain the Observer design pattern and create a basic implementation.
- What is unit testing? How can you write unit tests in Python?
- Compare the built-in unittest framework and the third-party pytest framework.
- Write a test case for a function that checks if a given string is a palindrome.
- How do regular expressions work? Provide an example of using the re module.
- Write a regular expression to extract email addresses from a given text.
- Explain the concept of greedy and non-greedy matching in regular expressions.
- Describe the difference between TCP and UDP protocols.
- Write Python code to create a simple HTTP server using the http.server module.
- Utilize the requests library to make an API call and process the JSON response.
- Discuss common debugging techniques and tools available in Python.
- How can you profile code performance using the cProfile module?
- Write a piece of code with a performance issue and use profiling to identify bottlenecks.
- Feel free to delve into these topics, research further, and experiment .
- with code examples to enhance your understanding of advanced Python concepts.
- Explain the concept of multiple inheritance and the Method Resolution Order (MRO) in Python.
Implement a custom exception class and demonstrate its usage in handling errors. Day 12: Decorators and Closures 33. Discuss the difference between decorators and closures in Python.
Create a closure that calculates the exponential of a given base.
- What is data serialization? Describe how the pickle module is used for serialization.
Write code to serialize and deserialize a Python object using the pickle module.
- Explain asynchronous programming and the role of the async and await keywords.
Develop an asynchronous function that fetches data from a web API using the aiohttp library.
- Discuss the Factory Method design pattern and provide a Python implementation.
Explain the Proxy design pattern and create a basic implementation.
- Describe the concepts of immutability and pure functions in functional programming.
Implement a higher-order function that returns a function to calculate the square of a number.
- How can you reduce memory consumption using the sys.getsizeof function?
Write code that demonstrates the memory consumption difference between a list and a generator.
- Explain the differences between NumPy arrays and Python lists.
Use the pandas library to read a CSV file, manipulate data, and perform basic analysis.
- Discuss the purpose of the scikit-learn library in machine learning.
Write code to create a simple linear regression model using scikit-learn.
- Describe the Flask micro web framework and its basic components.
Build a simple web application using Flask that displays a "Hello, World!" message. I hope these additional questions complete your 30-day challenge focused on advanced Python concepts. Feel free to explore each topic further and practice with code examples to deepen your understanding.
- Explain the MVC (Model-View-Controller) architecture and how it's implemented in Django.
Create a Django project and app, and define a model for a basic database table.
- Discuss the purpose of the Matplotlib library in data visualization.
Write code to create a line plot and a scatter plot using Matplotlib.
- Explain the concept of a DataFrame in Pandas and its significance.
Perform basic data analysis tasks like filtering, grouping, and aggregation using Pandas.
- Describe web scraping and its ethical considerations.
Use Beautiful Soup to scrape and extract information from a webpage.
- Discuss the role of the Natural Language Toolkit (NLTK) in NLP tasks.
Write code to tokenize and analyze the frequency distribution of words in a text using NLTK.
- Explain the purpose of the TensorFlow library in machine learning.
Develop a simple neural network using TensorFlow to classify handwritten digits.
- Describe the key features of the PyTorch library for deep learning.
Create a convolutional neural network (CNN) using PyTorch for image classification.
- Discuss FastAPI and its advantages over other web frameworks.
Build a RESTful API using FastAPI that performs CRUD operations on a resource.
- Explain the JSON (JavaScript Object Notation) format and its common use cases.
Convert a Python dictionary to JSON and vice versa using the json module.
- Introduce asyncio and its role in asynchronous programming.
Write code using asyncio to concurrently execute multiple tasks. I hope these questions provide a comprehensive and diverse set of advanced Python concepts to explore over your 30-day challenge. Feel free to research, experiment, and learn more about each topic to enhance your Python programming skills.