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Question: Create a text file named books.txt. Each line in this file represents a book with its title and price, separated by a comma. For example: "Python Data Science Handbook, $82.61", "Automate the Boring Stuff with Python, $59.99", "Python for Data Analysis, $107.25", "Think Python, $65.69", "Fluent Python, $98.53", "Effective Python, $62.18", "Learning Python, $49.99", "Python Crash Course, $65.99", "Introduction to Machine Learning with Python, $80.43", "Data Science from Scratch, $88.48" Guidelines and Hints Use string methods for parsing data. Utilize lists to store and manipulate book data. Implement loops for iterating over the list of books. Apply conditional statements to perform checks and comparisons. Remember to close the file after reading or writing. b- [32 pts] Each of the following questions should be addressed in a separate Python script. Inventory Summary How many books are in the inventory? What is the total value of the inventory? Pricing Analysis What is the average price of a book? List all books priced above the average price. Search and Selection Find and display the title of the most expensive book. Display all books with a title containing the word "The". Data Manipulation Increase the price of all books by 10%. Create a new file updated_books.txt with the updated prices.
Binary search tree, and postorder and preorder traversal Determine the shortest path in Graph
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Write a procedure (make-stack) that produces independent stack objects, using a message-passing style, e.g.
Define a suitable functional unit for a comparative study between two different types of paint.
Calculate yield to maturity (YTM) and bond prices
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