Starting Out with Python (3rd Edition)
3rd Edition
ISBN: 9780133582734
Author: Tony Gaddis
Publisher: PEARSON
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Textbook Question
Chapter 6, Problem 7AW
A file exists on the disk named students. txt. The file contains several records, and each record contains two fields: (1) the student’s name, and (2) the student’s score for the final exam. Write code that deletes the record containing “John Perz" as the student name.
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reminder it an exercice not a grading work
GETTING STARTED
Open the file SC_EX19_EOM2-1_FirstLastNamexlsx, available for download from the SAM website.
Save the file as SC_EX19_EOM2-1_FirstLastNamexlsx by changing the “1” to a “2”.
If you do not see the .xlsx file extension in the Save As dialog box, do not type it. The program will add the file extension for you automatically.
With the file SC_EX19_EOM2-1_FirstLastNamexlsx still open, ensure that your first and last name is displayed in cell B6 of the Documentation sheet.
If cell B6 does not display your name, delete the file and download a new copy from the SAM website.
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Chapter 6 Solutions
Starting Out with Python (3rd Edition)
Ch. 6.1 - What is an output file?Ch. 6.1 - What is an input file?Ch. 6.1 - What three steps must be taken by a program when...Ch. 6.1 - Prob. 4CPCh. 6.1 - Prob. 5CPCh. 6.1 - When writing a program that performs an operation...Ch. 6.1 - If a file already exists, what happens to it if...Ch. 6.1 - What is the purpose of opening a file?Ch. 6.1 - What is the purpose of closing a file?Ch. 6.1 - Prob. 10CP
Ch. 6.1 - In what mode do you open a file if you want to...Ch. 6.2 - Write a short program that uses a for loop to...Ch. 6.2 - Prob. 13CPCh. 6.2 - Assume the file data.txt exists and contains...Ch. 6.2 - Prob. 15CPCh. 6.3 - Prob. 16CPCh. 6.3 - Prob. 17CPCh. 6.3 - Prob. 18CPCh. 6.4 - Prob. 19CPCh. 6 - A file that data is written to is known as...Ch. 6 - A file that data is written to is known as...Ch. 6 - Before a file can be used by a program, it must be...Ch. 6 - When a program is finished using a file, it should...Ch. 6 - The contents of this type of file can be viewed in...Ch. 6 - This type of file contains data that has not been...Ch. 6 - When working with this type of file, you access...Ch. 6 - When working with this type of file, you can jump...Ch. 6 - This is a small holding section" in memory that...Ch. 6 - This marks the location of the next item that will...Ch. 6 - When a file is opened in this mode, data will be...Ch. 6 - This is a single piece of data within a record. a....Ch. 6 - Prob. 13MCCh. 6 - Prob. 14MCCh. 6 - Prob. 15MCCh. 6 - When working with a sequential access file, you...Ch. 6 - When you open a file that file already exists on...Ch. 6 - The process of opening a file is only necessary...Ch. 6 - Prob. 4TFCh. 6 - When a file that already exists is opened in...Ch. 6 - Prob. 6TFCh. 6 - You can have more than one except clause in a...Ch. 6 - Prob. 8TFCh. 6 - Prob. 9TFCh. 6 - Describe the three steps that must be taken when a...Ch. 6 - Why should a program close a file when it's...Ch. 6 - What is a read position? where is the read...Ch. 6 - If an existing file is opened in append mode, What...Ch. 6 - If a file does not exist and a program attempts to...Ch. 6 - Write a program that opens an output file with the...Ch. 6 - Write a program that opens the my_name.txt file...Ch. 6 - Write code that does the following: opens an...Ch. 6 - Prob. 4AWCh. 6 - Modify the code that you wrote in problem 4 so it...Ch. 6 - Write code that opens an output file with the...Ch. 6 - A file exists on the disk named students. txt. The...Ch. 6 - A file exists on the disk named students txt. The...Ch. 6 - Prob. 9AWCh. 6 - Prob. 10AWCh. 6 - File Display Assume a file containing a series of...Ch. 6 - File Head Display Write a program that asks the...Ch. 6 - Line Numbers Write a program that asks the user...Ch. 6 - Item Counter Assume a file containing a series of...Ch. 6 - Sum of Numbers Assume a file containing a series...Ch. 6 - Average of Numbers Assume a file containing a...Ch. 6 - Random Number File Writer Write a program that...Ch. 6 - Random Number File Reader This exercise assumes...Ch. 6 - Prob. 9PECh. 6 - Golf Scores The Springfork Amateur Golf Club has a...
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- Help! how do I fix my python coding question for this? (my code also provided)arrow_forwardNeed help with coding in this in python!arrow_forwardIn the diagram, there is a green arrow pointing from Input C (complete data) to Transformer Encoder S_B, which I don’t understand. The teacher model is trained on full data, but S_B should instead receive missing data—this arrow should not point there. Please verify and recreate the diagram to fix this issue. Additionally, the newly created diagram should meet the same clarity standards as the second diagram (Proposed MSCATN). Finally provide the output image of the diagram in image format .arrow_forward
- Please provide me with the output image of both of them . below are the diagrams code make sure to update the code and mentionned clearly each section also the digram should be clearly describe like in the attached image. please do not provide the same answer like in other question . I repost this question because it does not satisfy the requirment I need in terms of clarifty the output of both code are not very well details I have two diagram : first diagram code graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder…arrow_forwardWhy I need ?arrow_forwardHere are two diagrams. Make them very explicit, similar to Example Diagram 3 (the Architecture of MSCTNN). graph LR subgraph Teacher_Model_B [Teacher Model (Pretrained)] Input_Teacher_B[Input C (Complete Data)] --> Teacher_Encoder_B[Transformer Encoder T] Teacher_Encoder_B --> Teacher_Prediction_B[Teacher Prediction y_T] Teacher_Encoder_B --> Teacher_Features_B[Internal Features F_T] end subgraph Student_B_Model [Student Model B (Handles Missing Labels)] Input_Student_B[Input C (Complete Data)] --> Student_B_Encoder[Transformer Encoder E_B] Student_B_Encoder --> Student_B_Prediction[Student B Prediction y_B] end subgraph Knowledge_Distillation_B [Knowledge Distillation (Student B)] Teacher_Prediction_B -- Logits Distillation Loss (L_logits_B) --> Total_Loss_B Teacher_Features_B -- Feature Alignment Loss (L_feature_B) --> Total_Loss_B Partial_Labels_B[Partial Labels y_p] -- Prediction Loss (L_pred_B) --> Total_Loss_B Total_Loss_B -- Backpropagation -->…arrow_forward
- Please provide me with the output image of both of them . below are the diagrams code I have two diagram : first diagram code graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder --> Student_A_Features[Student A Features F_A] end subgraph Knowledge_Distillation_A [Knowledge Distillation (Student A)] Teacher_Prediction -- Logits Distillation Loss (L_logits_A) --> Total_Loss_A Teacher_Features -- Feature Alignment Loss (L_feature_A) --> Total_Loss_A Ground_Truth_A[Ground Truth y_gt] -- Prediction Loss (L_pred_A)…arrow_forwardI'm reposting my question again please make sure to avoid any copy paste from the previous answer because those answer did not satisfy or responded to the need that's why I'm asking again The knowledge distillation part is not very clear in the diagram. Please create two new diagrams by separating the two student models: First Diagram (Student A - Missing Values): Clearly illustrate the student training process. Show how knowledge distillation happens between the teacher and Student A. Explain what the teacher teaches Student A (e.g., handling missing values) and how this teaching occurs (e.g., through logits, features, or attention). Second Diagram (Student B - Missing Labels): Similarly, detail the training process for Student B. Clarify how knowledge distillation works between the teacher and Student B. Specify what the teacher teaches Student B (e.g., dealing with missing labels) and how the knowledge is transferred. Since these are two distinct challenges…arrow_forwardThe knowledge distillation part is not very clear in the diagram. Please create two new diagrams by separating the two student models: First Diagram (Student A - Missing Values): Clearly illustrate the student training process. Show how knowledge distillation happens between the teacher and Student A. Explain what the teacher teaches Student A (e.g., handling missing values) and how this teaching occurs (e.g., through logits, features, or attention). Second Diagram (Student B - Missing Labels): Similarly, detail the training process for Student B. Clarify how knowledge distillation works between the teacher and Student B. Specify what the teacher teaches Student B (e.g., dealing with missing labels) and how the knowledge is transferred. Since these are two distinct challenges (missing values vs. missing labels), they should not be combined in the same diagram. Instead, create two separate diagrams for clarity. For reference, I will attach a second image…arrow_forward
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