This table shows a page reference string 1, 2, 3, 1, 4, 5, 3, 6, 7, 2, 2, 1, 7, 6, 5, 7,4,7,1 and the corresponding frame allocations. Use this for questions 10,11,12,13. There are 4 frames of memory. Please copy and complete the allocations. For each frame which maintains the same page as in the previous step please enter" The first 5 columns have been filled in. 1 2 3 BADDA 2--- 3 1. 1 4 5 3 6 7 2 2 17 65 7 47 1 1- 2 Show the table if the page replacement algorithm is FIFO - First In First Out. Show the table if the page replacement algorithm is optimal.

This table shows a page reference string 1, 2, 3, 1, 4, 5, 3, 6, 7, 2, 2, 1, 7, 6, 5, 7,4,7,1 and the corresponding frame allocations. Use this for questions 10,11,12,13. There are 4 frames of memory. Please copy and complete the allocations. For each frame which maintains the same page as in the previous step please enter" The first 5 columns have been filled in. 1 2 3 BADDA 2--- 3 1. 1 4 5 3 6 7 2 2 17 65 7 47 1 1- 2 Show the table if the page replacement algorithm is FIFO - First In First Out. Show the table if the page replacement algorithm is optimal.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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TODO 14: Use the df as specified. Use iloc or loc to index rows 10-15 and columns 'B' and 'C.' Save the result to the df_slice variable. # TODO 14.1 df_slice = display(df_slice) print(f"df_slice shape: {df_slice.shape}") todo_check([ (df_slice.shape == (6,2),'df_slice does not have the correct shape of (6, 2)'), (np.all(np.isclose(df_slice.values.flatten(), np.array([0.3869025,-0.51080514,0.06651722,0.3024719,-0.35955316,-0.81314628,-1.63019835,0.46278226,0.12898291,1.13940068,-0.87079715,-0.57884966]),rtol=.001)),'df_slice does not contain the correct values') ])
This is Pandas Which of the following would be a correct way to return rows 0 through 5 of columns "Name" and "Age" from the data frame df? df.loc[0:5, ["Name", "Age"]] df.loc[:5, "Name", "Age"] df.loc[0:6, ["Name", "Age"]] df.loc[:6, "Name", "Age"]
Change to HLL I already posted same question but no response. Do quick.
The file london_weather.csv contains weather data for the years 1979 to 2020. The first five lines of this file are: date,cloud_cover,sunshine,global_radiation,max_temp,mean_temp,min_temp,precipitation,pressure,snow_depth19790101,2,7,52,2.3,-4.1,-7.5,0.4,101900,919790102,6,1.7,27,1.6,-2.6,-7.5,0,102530,819790103,5,0,13,1.3,-2.8,-7.2,0,102050,419790104,8,0,13,-0.3,-2.6,-6.5,0,100840,2 Note, in particular, that the dates are given as eight-digit integers in the format YYYYMMDD. There appears to be some inconsistencies in this data, as there are rows for which the column max_temp contains an entry that is smaller than the corresponding entry in min_temp. Write a Python function wrong_temperature(year) that returns the number of days in a given year for which the column max_temp contains an entry that is smaller than the corresponding entry in the column min_temp.
Write a function named csv_to_kvs that takes a string as a parameter representing the name of a CSV file with 4 columns in the format "<string>,<float>,<float>,<float>" and returns a new dictionary mapping strings to decimal numbers. The returned dictionary will have a key-value pair for each row in the file. The key for each pair is the data in the initial column of the CSV file and values are the data from the column at index 2. (in python )
Please help me write the following function (see the photos for context of the problem): follow_trail(filename, treasure_map, start_row, start_col): Takes as inputs a string corresponding to a filename, a list of lists corresponding to a treasure map, and two non-negative integers representing a row and column index. Follows the trail in the given treasure map, starting at the given row and column index. Following the trail means to look at each character of the trail and perform the appropriate operation for that character: '>', '<', 'v', ' ∧': Continues following the trail by moving to the character to the right, left, below or above the current trail character, respectively. '.': Creates a new map file, with 'new_' prepended to the current map filename, and stores the same treasure map but with an X at the current position. Then, returns a tuple of three elements: the first being -1, and the latter two being the current row and column index. '*': Returns a tuple of three…
Select a states that is not q2 from the GNFA to delete. Then, create a new GNFA for the deleted state that is equivalent to M but does not have the selected state.
Do not add any imports, the ones that you need will be given to you.You may not use any dictionaries or dictionary methods.Do not use try-except statements, you should be able to anticipateor prevent any errors from happening at all!
Hand trace Figure 5-20 on page 262 and produce a trace table based on this ordered input: Lot number 1 has a property value of 1000.Lot number 2 has a property value of 2000.Lot number 3 has a property value of 500.Lot 0 will end the program. No need to illustrate the Display output this time; I only want you to trace the variables. Take a snapshot of the completed trace table.
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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.…
2.13 LAB - Create Movie table Create a Movie table with the following columns: • ID - positive integer with maximum value of 50,000 . • Title - variable-length string with up to 50 characters • Rating - fixed-length string with 4 characters • ReleaseDate - date • Budget - decimal value representing a cost of up to 999,999 dollars, with 2 digits for cents Note: Your SQL code does not display any results in Develop mode. Use Submit mode to test your code.