Chapter 5, Problem 1EYK

Create Trigger for When a student marks are being inserted, if the marks that are inserted are greater than 50, allow the insertion, but update marks to 50. Marks(Id , Marks) -> Table Fill in the blanks:    ___ triggerName Before  ___ ON Marks REFERENCING _____ AS nrow FOR EACH ROW WHEN (nrow.marks>50) _____ nrow SET nrow.marks = 50;

1]  using _________ key in positional parameters the set command can be used up to 9 words or 9 arguments.

Create a pandas DataFrame with two columns. The first column should be titled F for Fahrenheit, and should contain the numbers from 0 to 100, counting by fives. The second column should be titled C for Celsius, and contain the corresponding temperature in degrees Celsius for the number in the first column.

Organize your desktop name the folders below and organize your own desktop by sorting the given files according ly

In this assignment, you should work with books.csv Download books.csvfile. This file contains the detailed information about books scraped via the Goodreads . The dataset is downloaded from Kaggle website. Each row in the file includes ten columns. Detailed description for each column is provided in the following: bookID: A unique Identification number for each book. title: The name under which the book was published. authors: Names of the authors of the book. Multiple authors are delimited with -. average_rating: The average rating of the book received in total. isbn: Another unique number to identify the book, the International Standard Book Number. isbn13: A 13-digit ISBN to identify the book, instead of the standard 11-digit ISBN. language_code: Helps understand what is the primary language of the book. num_pages: Number of pages the book contains. ratings_count: Total number of ratings the book received. text_reviews_count: Total number of written text reviews the book received.…