3. Debugging Interlude 1 3.1. How to be a Successful Programmer- Completed this topic on 10 Dec, 2019 3.2. How to Avoid Debugging- Completed this topic on 10 Dec, 2019 3.3. Beginning tips for Debugging- Completed this topic on 10 Dec, 2019 3.4. Know Your Error Messages 3.4.1. ParseError- Completed this topic on 10 Dec, 2019 3.4.2. TypeError- Completed this topic on 10 Dec, 2019 3.4.3. NameError- Completed this topic on 10 Dec, 2019 3.4.4. ValueError- Completed this topic on 10 Dec, 2019 - Completed this topic on 10 Dec, 2019 3.5. Summary- Completed this topic on 10 Dec, 2019 3.6. Exercises 4. Python Turtle Graphics 4.1. Hello Little Turtles!- Completed this topic on 10 Dec, 2019 4.2. Our First Turtle Program- Completed this topic on 10 Dec, 2019 4.3. Instances — A Herd of Turtles- Completed this topic on 10 Dec, 2019 4.4. The for Loop- Completed this topic on 10 Dec, 2019 4.5. Flow of Execution of the for Loop- Completed this topic on 10 Dec, 2019 4.6. Iteration Simplifies our Turtle Program 4.7. The range Function 4.8. A Few More turtle Methods and Observations 4.9. Summary of Turtle Methods 4.10. Glossary 4.11. Exercises 5. Python Modules 5.1. Modules and Getting Help 5.2. More About Using Modules 5.3. The math module 5.4. The random module 5.5. Glossary 5.6. Exercises 6. Functions 6.1. Functions 6.2. Functions that Return Values 6.3. Unit Testing 6.3.1. Choosing Good Unit Tests 6.4. Variables and Parameters are Local 6.5. The Accumulator Pattern 6.5.1. The General Accumulator Pattern 6.5.2. A Variation on the Accumulator Pattern 6.6. Functions can Call Other Functions 6.7. Flow of Execution Summary 6.8. Using a Main Function 6.9. Program Development 6.10. Composition 6.11. A Turtle Bar Chart 6.12. Glossary 6.13. Exercises 7. Selection 7.1. Boolean Values and Boolean Expressions 7.2. Logical operators 7.3. Precedence of Operators 7.4. Conditional Execution: Binary Selection 7.5. Omitting the else Clause: Unary Selection 7.6. Nested conditionals 7.7. Chained conditionals 7.8. Boolean Functions 7.8.1. More Unit Testing 7.9. Glossary 7.10. Exercises 8. More About Iteration 8.1. Iteration Revisited 8.2. The for loop revisited 8.3. The while Statement 8.4. Randomly Walking Turtles 8.5. The 3n + 1 Sequence 8.6. Newton’s Method 8.7. The Accumulator Pattern Revisited 8.8. Other uses of while 8.8.1. Sentinel Values 8.8.2. Validating Input 8.9. Algorithms Revisited 8.10. Simple Tables 8.11. 2-Dimensional Iteration: Image Processing 8.11.1. The RGB Color Model 8.11.2. Image Objects 8.11.3. Image Processing and Nested Iteration 8.12. Image Processing on Your Own 8.13. Glossary 8.14. Exercises 9. Strings 9.1. Strings Revisited 9.2. A Collection Data Type 9.3. Operations on Strings 9.4. Index Operator: Working with the Characters of a String 9.5. String Methods 9.5.1. String Format Method 9.6. Length 9.7. The Slice Operator 9.8. String Comparison 9.9. Strings are Immutable 9.10. Traversal and the for Loop: By Item 9.11. Traversal and the for Loop: By Index 9.12. Traversal and the while Loop 9.13. The in and not in operators 9.14. The Accumulator Pattern with Strings 9.15. Turtles and Strings and L-Systems 9.16. Looping and Counting 9.17. A find function 9.18. Optional parameters 9.19. Character classification 9.20. Summary 9.21. Glossary 9.22. Exercises 10. Lists 10.1. Lists 10.2. List Values 10.3. List Length 10.4. Accessing Elements 10.5. List Membership 10.6. Concatenation and Repetition 10.7. List Slices 10.8. Lists are Mutable 10.9. List Deletion 10.10. Objects and References 10.11. Aliasing 10.12. Cloning Lists 10.13. Repetition and References 10.14. List Methods 10.15. The Return of L-Systems 10.16. Append versus Concatenate 10.17. Lists and for loops 10.18. Using Lists as Parameters 10.19. Pure Functions 10.20. Which is Better? 10.21. Functions that Produce Lists 10.22. List Comprehensions 10.23. Nested Lists 10.24. Strings and Lists 10.25. list Type Conversion Function 10.26. Tuples and Mutability 10.27. Tuple Assignment 10.28. Tuples as Return Values 10.29. Glossary 10.30. Exercises 11. Files 11.1. Working with Data Files 11.2. Finding a File on your Disk 11.3. Reading a File 11.4. Iterating over lines in a file 11.5. Alternative File Reading Methods 11.6. Writing Text Files 11.7. With Statements 11.8. Glossary 11.9. Exercises 12. Dictionaries 12.1. Dictionaries 12.2. Dictionary Operations 12.3. Dictionary Methods 12.4. Aliasing and Copying 12.5. Sparse Matrices 12.6. Glossary 12.7. Exercises 13. Exceptions 13.1. What is an exception? 13.2. Exception Handling Flow-of-control 13.3. Summary 13.4. Standard Exceptions 13.5. Principles for using Exceptions 13.6. Exceptions Syntax 13.6.1. Catch All Exceptions 13.6.2. Catch A Specific Exception 13.6.3. Catch Multiple Specific Exceptions 13.6.4. Clean-up After Exceptions 13.6.5. An Example of File I/O 13.7. Glossary 13.8. Exercises 14. Web Applications 14.1. Web Applications 14.2. How the Web Works 14.3. How Web Applications Work 14.4. Web Applications and HTML Forms 14.5. Writing Web Applications With Flask 14.6. More About Flask 14.6.1. The format() method 14.7. Input For A Flask Web Application 14.8. Web Applications With a User Interface 15. GUI and Event Driven Programming 15.1. Graphical User InterfacesLast read this topic on 07 Nov, 2019 15.2. GUI ProgrammingLast read this topic on 07 Nov, 2019 15.3. GUI Programming OptionsLast read this topic on 07 Nov, 2019 15.4. TKinterLast read this topic on 07 Nov, 2019 15.5. Tkinter Pre-programmed InterfacesLast read this topic on 07 Nov, 2019 15.6. Tkinter Custom InterfacesLast read this topic on 07 Nov, 2019 15.7. Hello WorldLast read this topic on 07 Nov, 2019 15.8. Tkinter Standard Dialog Boxes 15.8.1. Messages 15.8.2. Yes/No Questions 15.8.3. Single Value Data Entry 15.8.4. File Chooser 15.8.5. Color Chooser 15.9. GUI Widgets 15.10. Creating Widgets 15.11. Layout Mangers 15.12. Specifying Dimensions 15.13. Place Layout Manager 15.14. Grid Layout Manager 15.15. Pack Layout Manager 15.15.1. Summary 15.16. Widget Groupings 15.17. Command Events 15.18. Hello World Again 15.19. Other Events 15.20. Low-Level Event Processing 15.21. Focus 15.22. Event Binding 15.23. Event Descriptors 15.24. Event Objects 15.25. Event Processing 15.26. The Design of GUI Programs 15.27. Common Widget Properties 15.28. Specific Widget Properties 15.29. Widget Attributes 15.30. Timer Events 15.30.1. Animations and Repeated Tasks 15.30.2. Canceling Timer Events 15.30.3. Multiple Parameters to Timer Callbacks 15.31. A Programming Example 15.31.1. A Whack-a-mole Game 15.31.2. Summary 15.32. Managing GUI Program Complexity 15.32.1. Creating the View 15.32.2. Creating the Model 15.32.3. Creating the Controller 15.33. Exercises 15.34. Glossary 16. Recursion 16.1. What Is Recursion? 16.2. Calculating the Sum of a List of Numbers 16.3. The Three Laws of Recursion 16.4. Converting an Integer to a String in Any Base 16.5. Visualizing Recursion 16.6. Sierpinski Triangle 16.7. Glossary 16.8. Programming Exercises 16.9. Exercises 17. Classes and Objects - the Basics 17.1. Object-oriented programming 17.2. A change of perspective 17.3. Objects Revisited 17.4. User Defined Classes 17.5. Improving our Constructor 17.6. Adding Other Methods to our Class 17.7. Objects as Arguments and Parameters 17.8. Converting an Object to a String 17.9. Instances as Return Values 17.10. Glossary 17.11. Exercises 18. Classes and Objects - Digging a Little Deeper 18.1. Fractions 18.2. Objects are Mutable 18.3. Sameness 18.4. Arithmetic Methods 18.5. Glossary 18.6. Exercises 19. Inheritance 19.1. Pillars of OOP 19.2. Introduction to Inheritance 19.3. Extending 19.4. Reuse Through Composition 19.5. Class Diagrams 19.6. Composition vs. Inheritance 19.7. Case Study: Structured Postal Addresses 19.7.1. Storing Postal Addresses 19.7.2. Storing International Addresses 19.7.3. Inheritance Applied 19.7.4. A List of Addresses 19.7.5. Using isinstance Labs¶ Labs Astronomy Animation Turtle Racing Lab Drawing a Circle Lessons from a Triangle Finally a Circle Counting Letters Letter Count Histogram Approximating the Value of Pi Python Beyond the Browser Experimenting With the 3n+1 Sequence Plotting a sine Wave Exercises Appendices¶ Appendices Debugging Operator precedence table test module source code Acknowledgements¶ Acknowledgements Copyright Notice Preface to the Interactive Edition Whats the deal with Logging in? How to Contribute Acknowledgements Foreword Preface to the Third Edition The Rhodes Local Edition (RLE) Preface to the First and Second Editions Contributor List GNU Free Documentation License ADDENDUM: How to use this License for your documents Index and Search¶ Index Search Page You have attempted 1 of 1 activities on this page Next Section - 1. General Introduction $('#relations-prev').tooltip({'placement':'right', 'selector': '', 'delay': { show: 100, hide: 50}}); $('#relations-next').tooltip({'placement':'left', 'selector': '', 'delay': { show: 100, hide: 50}}); function mouseOverPrev() { document.getElementById("relations-prev").style.opacity=1; } function mouseOutPrev() { document.getElementById("relations-prev").style.opacity=0.4; } function mouseOverNext() { document.getElementById("relations-next").style.opacity=1; } function mouseOutNext() { document.getElementById("relations-next").style.opacity=0.4; } username: shastrian | Back to top © Copyright 2014 Brad Miller, David Ranum, Created using Runestone Interactive. Last updated on Jan 18, 2020. Created using Runestone 4.1.17.

Assignments 1. General Introduction 1.1. The Way of the Program- Completed this topic on 07 Nov, 2019 1.2. Algorithms- Completed this topic on 07 Nov, 2019 1.3. The Python Programming Language- Completed this topic on 07 Nov, 2019 1.4. Executing Python in this Book- Completed this topic on 07 Nov, 2019 1.5. More About Programs- Completed this topic on 07 Nov, 2019 1.6. What is Debugging?- Completed this topic on 07 Nov, 2019 1.7. Syntax errors- Completed this topic on 14 Nov, 2019 1.8. Runtime Errors- Completed this topic on 14 Nov, 2019 1.9. Semantic Errors- Completed this topic on 14 Nov, 2019 1.10. Experimental Debugging- Completed this topic on 02 Dec, 2019 1.11. Formal and Natural Languages- Completed this topic on 09 Dec, 2019 1.12. A Typical First Program- Completed this topic on 09 Dec, 2019 1.13. Comments- Completed this topic on 09 Dec, 2019 1.14. Glossary- Completed this topic on 09 Dec, 2019 1.15. Exercises 2. Simple Python Data 2.1. Variables, Expressions and Statements- Completed this topic on 09 Dec, 2019 2.2. Values and Data Types- Completed this topic on 09 Dec, 2019 2.3. Type conversion functions- Completed this topic on 09 Dec, 2019 2.4. Variables- Completed this topic on 09 Dec, 2019 2.5. Variable Names and Keywords- Completed this topic on 09 Dec, 2019 2.6. Statements and Expressions- Completed this topic on 09 Dec, 2019 2.7. Operators and Operands- Completed this topic on 09 Dec, 2019 2.8. Input- Completed this topic on 10 Dec, 2019 2.9. Order of Operations- Completed this topic on 10 Dec, 2019 2.10. Reassignment 2.10.1. Developing your mental model of How Python Evaluates- Completed this topic on 10 Dec, 2019 - Completed this topic on 10 Dec, 2019 2.11. Updating Variables- Completed this topic on 10 Dec, 2019 2.12. Glossary- Completed this topic on 10 Dec, 2019 2.13. Exercises 3. Debugging Interlude 1 3.1. How to be a Successful Programmer 3.2. How to Avoid Debugging 3.3. Beginning tips for Debugging 3.4. Know Your Error Messages 3.4.1. ParseError 3.4.2. TypeError 3.4.3. NameError 3.4.4. ValueError 3.5. Summary 3.6. Exercises 4. Python Turtle Graphics 4.1. Hello Little Turtles! 4.2. Our First Turtle Program 4.3. Instances — A Herd of Turtles 4.4. The for Loop 4.5. Flow of Execution of the for Loop 4.6. Iteration Simplifies our Turtle Program 4.7. The range Function 4.8. A Few More turtle Methods and Observations 4.9. Summary of Turtle Methods 4.10. Glossary 4.11. Exercises 5. Python Modules 5.1. Modules and Getting Help 5.2. More About Using Modules 5.3. The math module 5.4. The random module 5.5. Glossary 5.6. Exercises 6. Functions 6.1. Functions 6.2. Functions that Return Values 6.3. Unit Testing 6.3.1. Choosing Good Unit Tests 6.4. Variables and Parameters are Local 6.5. The Accumulator Pattern 6.5.1. The General Accumulator Pattern 6.5.2. A Variation on the Accumulator Pattern 6.6. Functions can Call Other Functions 6.7. Flow of Execution Summary 6.8. Using a Main Function 6.9. Program Development 6.10. Composition 6.11. A Turtle Bar Chart 6.12. Glossary 6.13. Exercises 7. Selection 7.1. Boolean Values and Boolean Expressions 7.2. Logical operators 7.3. Precedence of Operators 7.4. Conditional Execution: Binary Selection 7.5. Omitting the else Clause: Unary Selection 7.6. Nested conditionals 7.7. Chained conditionals 7.8. Boolean Functions 7.8.1. More Unit Testing 7.9. Glossary 7.10. Exercises 8. More About Iteration 8.1. Iteration Revisited 8.2. The for loop revisited 8.3. The while Statement 8.4. Randomly Walking Turtles 8.5. The 3n + 1 Sequence 8.6. Newton’s Method 8.7. The Accumulator Pattern Revisited 8.8. Other uses of while 8.8.1. Sentinel Values 8.8.2. Validating Input 8.9. Algorithms Revisited 8.10. Simple Tables 8.11. 2-Dimensional Iteration: Image Processing 8.11.1. The RGB Color Model 8.11.2. Image Objects 8.11.3. Image Processing and Nested Iteration 8.12. Image Processing on Your Own 8.13. Glossary 8.14. Exercises 9. Strings 9.1. Strings Revisited 9.2. A Collection Data Type 9.3. Operations on Strings 9.4. Index Operator: Working with the Characters of a String 9.5. String Methods 9.5.1. String Format Method 9.6. Length 9.7. The Slice Operator 9.8. String Comparison 9.9. Strings are Immutable 9.10. Traversal and the for Loop: By Item 9.11. Traversal and the for Loop: By Index 9.12. Traversal and the while Loop 9.13. The in and not in operators 9.14. The Accumulator Pattern with Strings 9.15. Turtles and Strings and L-Systems 9.16. Looping and Counting 9.17. A find function 9.18. Optional parameters 9.19. Character classification 9.20. Summary 9.21. Glossary 9.22. Exercises 10. Lists 10.1. Lists 10.2. List Values 10.3. List Length 10.4. Accessing Elements 10.5. List Membership 10.6. Concatenation and Repetition 10.7. List Slices 10.8. Lists are Mutable 10.9. List Deletion 10.10. Objects and References 10.11. Aliasing 10.12. Cloning Lists 10.13. Repetition and References 10.14. List Methods 10.15. The Return of L-Systems 10.16. Append versus Concatenate 10.17. Lists and for loops 10.18. Using Lists as Parameters 10.19. Pure Functions 10.20. Which is Better? 10.21. Functions that Produce Lists 10.22. List Comprehensions 10.23. Nested Lists 10.24. Strings and Lists 10.25. list Type Conversion Function 10.26. Tuples and Mutability 10.27. Tuple Assignment 10.28. Tuples as Return Values 10.29. Glossary 10.30. Exercises 11. Files 11.1. Working with Data Files 11.2. Finding a File on your Disk 11.3. Reading a File 11.4. Iterating over lines in a file 11.5. Alternative File Reading Methods 11.6. Writing Text Files 11.7. With Statements 11.8. Glossary 11.9. Exercises 12. Dictionaries 12.1. Dictionaries 12.2. Dictionary Operations 12.3. Dictionary Methods 12.4. Aliasing and Copying 12.5. Sparse Matrices 12.6. Glossary 12.7. Exercises 13. Exceptions 13.1. What is an exception? 13.2. Exception Handling Flow-of-control 13.3. Summary 13.4. Standard Exceptions 13.5. Principles for using Exceptions 13.6. Exceptions Syntax 13.6.1. Catch All Exceptions 13.6.2. Catch A Specific Exception 13.6.3. Catch Multiple Specific Exceptions 13.6.4. Clean-up After Exceptions 13.6.5. An Example of File I/O 13.7. Glossary 13.8. Exercises 14. Web Applications 14.1. Web Applications 14.2. How the Web Works 14.3. How Web Applications Work 14.4. Web Applications and HTML Forms 14.5. Writing Web Applications With Flask 14.6. More About Flask 14.6.1. The format() method 14.7. Input For A Flask Web Application 14.8. Web Applications With a User Interface 15. GUI and Event Driven Programming 15.1. Graphical User InterfacesLast read this topic on 07 Nov, 2019 15.2. GUI ProgrammingLast read this topic on 07 Nov, 2019 15.3. GUI Programming OptionsLast read this topic on 07 Nov, 2019 15.4. TKinterLast read this topic on 07 Nov, 2019 15.5. Tkinter Pre-programmed InterfacesLast read this topic on 07 Nov, 2019 15.6. Tkinter Custom InterfacesLast read this topic on 07 Nov, 2019 15.7. Hello WorldLast read this topic on 07 Nov, 2019 15.8. Tkinter Standard Dialog Boxes 15.8.1. Messages 15.8.2. Yes/No Questions 15.8.3. Single Value Data Entry 15.8.4. File Chooser 15.8.5. Color Chooser 15.9. GUI Widgets 15.10. Creating Widgets 15.11. Layout Mangers 15.12. Specifying Dimensions 15.13. Place Layout Manager 15.14. Grid Layout Manager 15.15. Pack Layout Manager 15.15.1. Summary 15.16. Widget Groupings 15.17. Command Events 15.18. Hello World Again 15.19. Other Events 15.20. Low-Level Event Processing 15.21. Focus 15.22. Event Binding 15.23. Event Descriptors 15.24. Event Objects 15.25. Event Processing 15.26. The Design of GUI Programs 15.27. Common Widget Properties 15.28. Specific Widget Properties 15.29. Widget Attributes 15.30. Timer Events 15.30.1. Animations and Repeated Tasks 15.30.2. Canceling Timer Events 15.30.3. Multiple Parameters to Timer Callbacks 15.31. A Programming Example 15.31.1. A Whack-a-mole Game 15.31.2. Summary 15.32. Managing GUI Program Complexity 15.32.1. Creating the View 15.32.2. Creating the Model 15.32.3. Creating the Controller 15.33. Exercises 15.34. Glossary 16. Recursion 16.1. What Is Recursion? 16.2. Calculating the Sum of a List of Numbers 16.3. The Three Laws of Recursion 16.4. Converting an Integer to a String in Any Base 16.5. Visualizing Recursion 16.6. Sierpinski Triangle 16.7. Glossary 16.8. Programming Exercises 16.9. Exercises 17. Classes and Objects - the Basics 17.1. Object-oriented programming 17.2. A change of perspective 17.3. Objects Revisited 17.4. User Defined Classes 17.5. Improving our Constructor 17.6. Adding Other Methods to our Class 17.7. Objects as Arguments and Parameters 17.8. Converting an Object to a String 17.9. Instances as Return Values 17.10. Glossary 17.11. Exercises 18. Classes and Objects - Digging a Little Deeper 18.1. Fractions 18.2. Objects are Mutable 18.3. Sameness 18.4. Arithmetic Methods 18.5. Glossary 18.6. Exercises 19. Inheritance 19.1. Pillars of OOP 19.2. Introduction to Inheritance 19.3. Extending 19.4. Reuse Through Composition 19.5. Class Diagrams 19.6. Composition vs. Inheritance 19.7. Case Study: Structured Postal Addresses 19.7.1. Storing Postal Addresses 19.7.2. Storing International Addresses 19.7.3. Inheritance Applied 19.7.4. A List of Addresses 19.7.5. Using isinstance

program you wrote is not the program you wanted to write. The meaning of the program (its semantics) is wrong. Identifying semantic errors can be tricky because it requires you to work backward by looking at the output o

and returns an error message. Syntax refers to the structure of a program and the rules about that structure. For example, in English, a sentence must begin with a capital letter and end with a period. this sentence contains a syntax error. So does this one For most readers, a few syntax errors are not a significant problem, which is why we can read the poetry of e. e. cummings without problems. Python is not so forgiving. If there is a single syntax error anywhere in your program, Python will display an error message and quit. You will not be able to complete the execution of your program. During the first few weeks of your programming career, you will probably spend a lot of time tracking down syntax errors. However, as you gain experience, you will make fewer errors and you will also be able to find your errors faster. Check your understanding intro-7-1: Which of the following is a syntax error? A. Attempting to divide by 0.B. Forgetting a colon at the end of a statement where one is required.C. Forgetting to divide by 100 when printing a percentage amount.Check MeCompare me✔️ This is a problem with the formal structure of the program. Python knows where colons are required and can detect when one is missing simply by looking at the code without running it.Multiple Choice (question1_6_1) intro-7-2: Who or what typically finds syntax errors? A. The programmer.B. The compiler / interpreter.C. The computer.

Python can only execute a program if the program is syntactically correct; otherwise, the process fails and returns an error message. Syntax refers to the structure of a program and the rules about that structure. For example, in English, a sentence must begin with a capital letter and end with a period. this sentence contains a syntax error. So does this one For most readers, a few syntax errors are not a significant problem, which is why we can read the poetry of e. e. cummings without problems. Python is not so forgiving. If there is a single syntax error anywhere in your program, Python will display an error message and quit. You will not be able to complete the execution of your program. During the first few weeks of your programming career, you will probably spend a lot of time tracking down syntax errors. However, as you gain experience, you will make fewer errors and you will also be able to find your errors faster. Check your understanding intro-7-1: Which of the following is a syntax error? A. Attempting to divide by 0.B. Forgetting a colon at the end of a statement where one is required.C. Forgetting to divide by 100 when printing a percentage amount.Check MeCompare me✔️ This is a problem with the formal structure of the program. Python knows where colons are required and can detect when one is missing simply by looking at the code without running it.Multiple Choice (question1_6_1) intro-7-2: Who or what typically finds syntax errors? A. The programmer.B. The compiler / interpreter.C. The computer.D. The teacher / instructor.Check MeCompare meMultiple Choice (question1_6_2) You have attempted 2 of 3 activities on this page Next Section - 1.8. Runtime Errors $('#relations-prev').tooltip({'placement':'right', 'selector': '', 'delay': { show: 100, hide: 50}}); $('#relations-next').tooltip({'placement':'left', 'selector': '', 'delay': { show: 100, hide: 50}}); Mark as Completed username: shastrian | Back to top © Copyright 2014 Brad Miller, David Ranum, Created using Runestone Interactive. Last updated on Nov 02, 2019. Created using Runestone 4.1.13.

Python can only execute a program if the program is syntactically correct; otherwise, the process fails and returns an error message. Syntax refers to the structure of a program and the rules about that structure. For example, in English, a sentence must begin with a capital letter and end with a period. this sentence contains a syntax error. So does this one For most readers, a few syntax errors are not a significant problem, which is why we can read the poetry of e. e. cummings without problems. Python is not so forgiving. If there is a single syntax error anywhere in your program, Python will display an error message and quit. You will not be able to complete the execution of your program. During the first few weeks of your programming career, you will probably spend a lot of time tracking down syntax errors. However, as you gain experience, you will make fewer errors and you will also be able to find your errors faster. Check your understanding intro-7-1: Which of the following is a syntax error? A. Attempting to divide by 0.B. Forgetting a colon at the end of a statement where one is required.C. Forgetting to divide by 100 when printing a percentage amount.Check MeCompare me✔️ This is a problem with the formal structure of the program. Python knows where colons are required and can detect when one is missing simply by looking at the code without running it.Multiple Choice (question1_6_1) intro-7-2: Who or what typically finds syntax errors?

Python can only execute a program if the program is syntactically correct; otherwise, the process fails and returns an error message. Syntax refers to the structure of a program and the rules about that structure. For example, in English, a sentence must begin with a capital letter and end with a period. this sentence contains a syntax error. So does this one For most readers, a few syntax errors are not a significant problem, which is why we can read the poetry of e. e. cummings without problems. Python is not so forgiving. If there is a single syntax error anywhere in your program, Python will display an error message and quit. You will not be able to complete the execution of your program. During the first few weeks of your programming career, you will probably spend a lot of time tracking down syntax errors. However, as you gain experience, you will make fewer errors and you will also be able to find your errors faster. Check your understanding intro-7-1: Which of the following is a syntax error? A. Attempting to divide by 0.B. Forgetting a colon at the end of a statement where one is required.C. Forgetting to divide by 100 when printing a percentage amount.Check MeCompare me✔️ This is a problem with the formal structure of the program. Python knows where colons are required and can detect when one is missing simply by looking at the code without running it.Multiple Choice (question1_6_1) intro-7-2: Who or what typically finds syntax errors? A. The programmer.B. The compiler / interpreter.C. The computer.D. The teacher / instructor.Check MeCompare meMultiple Choice (question1_6_2) You have attempted 2 of 3 activities on this page Next Section - 1.8. Runtime Errors $('#relations-prev').tooltip({'placement':'right', 'selector': '', 'delay': { show: 100, hide: 50}}); $('#relations-next').tooltip({'placement':'left', 'selector': '', 'delay': { show: 100, hide: 50}}); Mark as Completed username: shastrian | Back to top © Copyright 2014 Brad Miller, David Ranum, Created using Runestone Interactive. Last updated on Nov 02, 2019. Created using Runestone 4.1.13.