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University of Alberta

Problem Solving, Python Programming, and Video Games

Taught in English

Some content may not be translated

Financial aid available

70,281 already enrolled

Gain insight into a topic and learn the fundamentals

Duane Szafron

Instructors: Duane Szafron +1 more

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(218 reviews)

Skills you'll gain

  • Python Syntax And Semantics
  • Computer Science
  • Python Programming
  • Problem Solving
  • Video Games

Details to know

problem solving and programming with python

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There are 12 modules in this course

This course is an introduction to computer science and programming in Python. Upon successful completion of this course, you will be able to:

1. Take a new computational problem and solve it, using several problem solving techniques including abstraction and problem decomposition. 2. Follow a design creation process that includes: descriptions, test plans, and algorithms. 3. Code, test, and debug a program in Python, based on your design. Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout. This course uses problem-based learning. The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner. The instructional videos present Python using a conceptual framework that can be used to understand any programming language. This framework is based on several general programming language concepts that you will learn during the course including: lexics, syntax, and semantics. Other approaches to programming may be quicker, but are more focused on a single programming language, or on a few of the simplest aspects of programming languages. The approach used in this course may take more time, but you will gain a deeper understanding of programming languages. After completing the course, in addition to learning Python programming, you will be able to apply the knowledge and skills you acquired to: non-game problems, other programming languages, and other computer science courses. You do not need any previous programming, Python, or video game experience. However, several basic skills are needed: computer use (e.g., mouse, keyboard, document editing), elementary mathematics, attention to detail (as with many technical subjects), and a “just give it a try” spirit will be keys to your success. Despite the use of video games for the main programming project, PVG is not about computer games. For each new programming concept, PVG uses non-game examples to provide a basic understanding of computational principles, before applying these programming concepts to video games. The interactive learning objects (ILO) of the course provide automatic, context-specific guidance and feedback, like a virtual teaching assistant, as you develop problem descriptions, functional test plans, and algorithms. The course forums are supported by knowledgeable University of Alberta personnel, to help you succeed. All videos, assessments, and ILOs are available free of charge. There is an optional Coursera certificate available for a fee.

Module 0: Introduction

In Module 0, you will meet the instructional team and be introduced to the four themes of this course: computer science, problem solving, Python programming, and how to create video games.

What's included

6 videos 2 readings 1 quiz

6 videos • Total 31 minutes

  • Course Themes • 7 minutes • Preview module
  • Computer Science • 5 minutes
  • Programming Languages • 3 minutes
  • Learning Outcomes and Problem-Based Learning • 4 minutes
  • How to Get the Most Out of this Course • 5 minutes
  • Suggestions for Learner Success • 5 minutes

2 readings • Total 20 minutes

  • Instructor Bios • 10 minutes
  • Acknowledgements • 10 minutes

1 quiz • Total 12 minutes

  • Introduction • 12 minutes

Module 1: Design Hacking Version 1

In Module 1, you will explore the game creation process that is used in this course. You will use this process to design Version 1 of the first game, Hacking. You will use two problem-solving techniques: problem decomposition and algorithms. You will explore five criteria for problem decomposition: experiential decomposition, feature selection, problem refinement, spatial decomposition, and temporal decomposition. To create your design for Hacking Version 1, you will use three interactive learning objects: the description builder, functional test plan builder, and algorithm builder.

7 videos 9 readings 6 quizzes

7 videos • Total 58 minutes

  • Game Creation Process • 7 minutes • Preview module
  • Observe Hacking Game • 2 minutes
  • Game Versions • 10 minutes
  • Observe Hacking Version 1 • 1 minute
  • Describe Hacking Version 1 • 11 minutes
  • Create Test Plan for Hacking Version 1 • 13 minutes
  • Create Algorithm for Hacking Version 1 • 10 minutes

9 readings • Total 85 minutes

  • The PVG Virtual Machine • 20 minutes
  • Play Hacking Game • 10 minutes
  • Play Hacking Version 1 • 10 minutes
  • Describe Hacking Version 1 • 10 minutes
  • Hacking Version 1 Description Solution • 5 minutes
  • Create Test Plan for Hacking Version 1 • 10 minutes
  • Hacking Version 1 Test Plan Solution • 5 minutes
  • Hacking Version 1 Algorithm Solution • 5 minutes

6 quizzes • Total 158 minutes

  • Game Creation Process • 30 minutes
  • Understand Hacking • 30 minutes
  • Game Versions • 30 minutes
  • Understand Hacking Version 1 • 30 minutes
  • The Game Creation Process • 30 minutes
  • Problem Solving Ontology • 8 minutes

Module 2: Program Hacking Version 1

In Module 2, you will discover how lexics, syntax, and semantics can be used to understand and describe programming languages. You will use these concepts to understand your first Python statement (expression statement), first three Python expressions (literal, identifier, function call), and first five Python types (int, str, float, function, NoneType). You will use these Python constructs to write, test, and debug Hacking Version 1, a text-based game version. You will then reflect on your game version by using a third problem-solving technique called abstraction, including the specific technique of solution generalization, to solve similar problems.

12 videos 7 readings 11 quizzes

12 videos • Total 79 minutes

  • Python Evaluation Examples • 5 minutes • Preview module
  • Python Interpretation • 10 minutes
  • Python Lexical Analysis • 7 minutes
  • Python Syntax Analysis • 11 minutes
  • Python Objects • 5 minutes
  • Python Semantics of Literals and Identifiers • 10 minutes
  • Python Semantics of Function Calls • 3 minutes
  • Python Program Interpretation • 5 minutes
  • Program Hacking Version 1 • 9 minutes
  • The Reflection Process • 2 minutes
  • Review Code for Hacking Version 1 • 5 minutes
  • Solution Issues • 2 minutes

7 readings • Total 80 minutes

  • The Python Shell in the Wing IDE • 20 minutes
  • Lexical Rules, Tables and Sample Problem (identifier, literal and delimiter) • 10 minutes
  • Syntax Diagrams and Sample Problem (expression statement, expression and function call) • 10 minutes
  • Semantic Rules and Sample Problem (identifier, literal and function call) • 10 minutes
  • Programming With the Wing IDE • 10 minutes
  • Hacking Version 1 Solution Code • 10 minutes
  • Software Quality Tests for Hacking Version 1 • 10 minutes

11 quizzes • Total 154 minutes

  • Python Evaluation Examples • 5 minutes
  • Interpretation (lexical analysis, syntax analysis and semantic analysis) • 6 minutes
  • Lexical Analysis (identifier, literal and delimiter) • 15 minutes
  • Syntax Analysis (expression statement, expression and function call) • 12 minutes
  • Python Objects • 6 minutes
  • Semantic Analysis (identifier, literal and function call) • 6 minutes
  • Evaluation (identifier, literal and function call) • 30 minutes
  • Programming (identifier, literal and function call) • 30 minutes
  • Program Hacking Version 1 • 30 minutes
  • Reflect on Language Concepts used in Hacking Version 1 • 9 minutes
  • The Game Creation Process • 5 minutes

Module 3: Hacking Version 2

In Module 3, you will identify solution issues in your game. You will apply a second form of the abstraction problem-solving technique, called using templates, to solve a solution issue by using a graphics library. You will then use lexics, syntax, and semantics to learn two new Python statements (assignment, import), two new Python expressions (binary expression, attribute reference), and one new Python type (module). You will employ these Python constructs and a simple graphics library to write, test, and debug Hacking Version 2.

12 videos 21 readings 30 quizzes

12 videos • Total 73 minutes

  • Solution Issues in Hacking Version 1 • 5 minutes • Preview module
  • Observe Hacking Version 2 • 1 minute
  • Describe Hacking Version 2 • 5 minutes
  • Regression Testing and Deleting Obsolete Tests • 4 minutes
  • Create Algorithm for Hacking Version 2 • 1 minute
  • Python Assignment Statement • 8 minutes
  • Python Binary Expression and Operator Token • 8 minutes
  • Python Import Statement and Keyword Token • 7 minutes
  • Python Multi-argument Function Call • 5 minutes
  • Python Method Call and Attribute Reference • 7 minutes
  • Program Hacking Version 2 • 11 minutes
  • Review Code for Hacking Version 2 • 5 minutes

21 readings • Total 195 minutes

  • Play Hacking Version 2 • 10 minutes
  • Describe Hacking Version 2 • 10 minutes
  • Hacking Version 2 Description Solution • 5 minutes
  • Create Test Plan for Hacking Version 2 • 10 minutes
  • Hacking Version 2 Test Plan Solution • 5 minutes
  • Create Algorithm for Hacking Version 2 • 10 minutes
  • Hacking Version 2 Algorithm • 5 minutes
  • Syntax Diagrams and Sample Problem (statement and assignment statement ) • 10 minutes
  • Semantic Rules (assignment statement) • 10 minutes
  • Lexical Rules and Tables (operator) • 10 minutes
  • Syntax Diagrams and Sample Problem (binary expression and binary operator) • 10 minutes
  • Semantic Rules and Sample Problem(binary expression) • 10 minutes
  • Lexical Rules and Tables (keyword) • 10 minutes
  • Syntax Diagrams and Sample Problem (import statement and module) • 10 minutes
  • Semantic Rules and Sample Problem (import statement) • 10 minutes
  • Syntax Diagrams and Sample Problem (multi-argument function call) • 10 minutes
  • Semantic Rules and Sample Problem (multi-argument function call) • 10 minutes
  • Syntax Diagrams and Sample Problem(method call and attribute reference) • 10 minutes
  • Semantic Rules and Sample Problem (method call and attribute reference) • 10 minutes
  • Hacking Version 2 Solution Code • 10 minutes
  • Software Quality Tests for Hacking Version 2 • 10 minutes

30 quizzes • Total 516 minutes

  • Syntax Analysis (import statement and module) • 9 minutes
  • Semantic Analysis (import statement) • 8 minutes
  • Syntax Analysis (multi-argument function call) • 27 minutes
  • Semantic Analysis (multi-argument function call) • 21 minutes
  • Syntax Analysis (method call and attribute reference) • 21 minutes
  • Semantic Analysis (method call and attribute reference) • 12 minutes
  • Solution Issues in Hacking Version 1 • 6 minutes
  • Understand Hacking Version 2 • 5 minutes
  • Delete Obsolete Tests for Hacking Version 2 • 5 minutes
  • Lexical Analysis (review) • 30 minutes
  • Syntax Analysis (statement and assignment statement) • 15 minutes
  • Semantic Analysis (assignment statement) • 9 minutes
  • Evaluation (assignment statement) • 11 minutes
  • Programming (assignment statement) • 30 minutes
  • Lexical Analysis (operator) • 15 minutes
  • Syntax Analysis (binary expression and binary operator) • 27 minutes
  • Semantic Analysis (binary expression) • 14 minutes
  • Evaluation (binary expression and operator) • 14 minutes
  • Programming (binary expression and operator) • 30 minutes
  • Lexical Analysis (keyword) • 14 minutes
  • Evaluation (import statement and keyword) • 10 minutes
  • Programming (import statement and keyword) • 30 minutes
  • Lexical Analysis (review) • 17 minutes
  • Evaluation (multi-argument function call) • 11 minutes
  • Programming (multi-argument function call) • 30 minutes
  • Lexical Analysis (review) • 14 minutes
  • Evaluation (method call and attribute reference) • 9 minutes
  • Programming (method call and attribute reference) • 30 minutes
  • Program Hacking Version 2 • 30 minutes
  • Reflect on language concepts used in Hacking Version 2 • 12 minutes

Module 4: Hacking Version 3

In Module 4, you will modify your game design to support multiple gameplay paths using a new problem decomposition criteria called case-based decomposition, which utilizes a selection control structure. You will learn one new Python statement (if), one new Python expression (unary expression), and one new Python type (bool). You will employ these Python constructs to write, test, and debug Hacking Version 3.

8 videos 16 readings 19 quizzes

8 videos • Total 39 minutes

  • Solution Issues in Hacking Version 2 • 2 minutes • Preview module
  • Observe Hacking Version 3 • 0 minutes
  • Create Algorithm for Hacking Version 3 • 4 minutes
  • Python If Statement and Boolean Type • 10 minutes
  • Python Elif and Else Clauses • 7 minutes
  • Python Keyword Operator, Short Circuit Evaluation, Unary Expression, and Operator Precedence • 7 minutes
  • Program Hacking Version 3 • 2 minutes
  • Review Code for Hacking Version 3 • 4 minutes

16 readings • Total 145 minutes

  • Play Hacking Version 3 • 10 minutes
  • Describe Hacking Version 3 • 10 minutes
  • Hacking Version 3 Description Solution • 5 minutes
  • Create Test Plan for Hacking Version 3 • 10 minutes
  • Hacking Version 3 Test Plan Solution • 5 minutes
  • Create Algorithm for Hacking Version 3 • 10 minutes
  • Hacking Version 3 Algorithm Solution • 5 minutes
  • Lexical Rules, Tables and Sample Problem (newline, indent and dedent) • 10 minutes
  • Syntax Diagrams (if statement) • 10 minutes
  • Semantic Rules and Sample Problem (if statement) • 10 minutes
  • Syntax Diagrams and Sample Problem (elif and else clause) • 10 minutes
  • Semantic Rules and Sample Problem (elif and else clauses) • 10 minutes
  • Syntax Diagrams and Sample Problem (keyword operator, unary expression, unary operator, and operator precedence) • 10 minutes
  • Semantic Rule and Sample Problem (keyword operator and unary expression) • 10 minutes
  • Hacking Version 3 Solution Code • 10 minutes
  • Software Quality Tests in Hacking Version 3 • 10 minutes

19 quizzes • Total 479 minutes

  • Evaluation (if statement and boolean) • 14 minutes
  • Lexical Analysis (review) • 33 minutes
  • Syntax Analysis (elif and else clauses) • 54 minutes
  • Semantic Analysis (elif and else clause) • 30 minutes
  • Evaluation (elif and else clauses) • 16 minutes
  • Lexical Analysis (review) • 32 minutes
  • Semantic Analysis (short circuit evaluation and operator precedence) • 30 minutes
  • Reflect on language concepts used in Hacking Version 3 • 8 minutes
  • Solution Issues in Hacking Version 2 • 5 minutes
  • Understand Hacking Version 3 • 5 minutes
  • Delete Obsolete Tests for Hacking Version 3 • 5 minutes
  • Lexical Analysis (newline, indent and dedent) • 26 minutes
  • Syntax Analysis (if statement) • 33 minutes
  • Semantic Analysis (if statement) • 23 minutes
  • Programming (if statement and boolean type) • 30 minutes
  • Programming (elif and else clause) • 30 minutes
  • Syntax Analysis (keyword operator, unary expression, unary operator, and operator precedence) • 45 minutes
  • Programming (keyword operator, short circuit evaluation, unary expression, and operator precedence) • 30 minutes
  • Program Hacking Version 3 • 30 minutes

Module 5: Hacking Version 4 & 5

In Module 5, you will modify your game design using two new abstraction techniques, called control abstraction and data abstraction. You will explore two different control abstractions, called definite and indefinite repetition. You will learn two new Python statements (for, while), four new Python expressions (subscription expression, expression list, parenthesized expression, list display), and three new Python types (tuple, list, range). You will employ these Python constructs to write, test, and debug Hacking Version 4 and Hacking Version 5.

17 videos 22 readings 29 quizzes

17 videos • Total 73 minutes

  • Solution Issues in Hacking Version 3 • 4 minutes • Preview module
  • Create Algorithm for Hacking Version 4 • 4 minutes
  • Python Sequences and Subscription • 8 minutes
  • Python Tuple and List Types • 5 minutes
  • Python Sequence Element Replacement • 4 minutes
  • Python For Statement • 5 minutes
  • Program Hacking Version 4 • 2 minutes
  • Review Code for Hacking Version 4 • 5 minutes
  • Solution Issues in Hacking Version 4 • 3 minutes
  • Observe Hacking Version 5 • 1 minute
  • Describe Hacking Version 5 • 0 minutes
  • Create Test Plan for Hacking Version 5 • 2 minutes
  • Create Algorithm for Hacking Version 5 • 4 minutes
  • Python While Statement • 4 minutes
  • Python Repetition Examples and Range Type • 8 minutes
  • Program Hacking Version 5 • 1 minute
  • Review Code for Hacking Version 5 • 4 minutes

22 readings • Total 200 minutes

  • Create Algorithm for Hacking Version 4 • 10 minutes
  • Hacking Version 4 Algorithm Solution • 5 minutes
  • Syntax Diagrams and Sample Problem (subscription) • 10 minutes
  • Semantic Rules and Sample Problem (subscription) • 10 minutes
  • Syntax Diagrams and Sample Problem (expression list, parenthesized expression, list display) • 10 minutes
  • Semantic Rules and Sample Problem (tuple and list type) • 10 minutes
  • Syntax Diagrams and Sample Problem (assignment target: subscription) • 10 minutes
  • Semantic Rules and Sample Problem (assignment target: subscription) • 10 minutes
  • Syntax Diagrams and Sample Problem (for statement) • 10 minutes
  • Semantic Rules and Sample Problem (for statement) • 10 minutes
  • Hacking Version 4 Solution Code • 10 minutes
  • Software Quality Tests for Hacking Version 4 • 10 minutes
  • Play Hacking Version 5 • 10 minutes
  • Describe Hacking Version 5 • 10 minutes
  • Hacking Version 5 Description Solution • 5 minutes
  • Create Test Plan for Hacking Version 5 • 10 minutes
  • Hacking Version 5 Test Plan Solution • 5 minutes
  • Create Algorithm for Hacking Version 5 • 10 minutes
  • Hacking Version 5 Algorithm Solution • 5 minutes
  • Syntax Diagrams and Sample Problem (while statement) • 10 minutes
  • Semantic Analysis and Sample Problem (while statement) • 10 minutes
  • Hacking Version 5 Solution Code • 10 minutes

29 quizzes • Total 644 minutes

  • Lexical Analysis (review) • 35 minutes
  • Evaluation (sequences and subscription) • 30 minutes
  • Syntax Analysis (expression list, parenthesized expression and list display) • 33 minutes
  • Semantic Analysis (tuple and list type) • 12 minutes
  • Evaluation (tuple and list type) • 12 minutes
  • Syntax Analysis (assignment target: subscription) • 24 minutes
  • Semantic Analysis (assignment target: subscription) • 20 minutes
  • Evaluation (sequence element replacement) • 8 minutes
  • Syntax Analysis (for statement) • 33 minutes
  • Evaluation (for statement) • 8 minutes
  • Reflect on Language Concepts used in Hacking Version 4 • 6 minutes
  • Syntax Analysis (while statement) • 30 minutes
  • Semantic Analysis (while statement) • 26 minutes
  • Evaluation (while statement) • 8 minutes
  • Evaluation (range type) • 8 minutes
  • Reflect on Language Concepts used in Hacking Version 5 • 11 minutes
  • Syntax Analysis (subscription) • 33 minutes
  • Semantic Analysis (subscription) • 30 minutes
  • Programming (sequences and subscription) • 30 minutes
  • Programming (tuple and list types) • 30 minutes
  • Programming (sequence element replacement) • 30 minutes
  • Semantic Analysis (for statement) • 29 minutes
  • Programming (for statement) • 30 minutes
  • Program Hacking Version 4 • 30 minutes
  • Understand Hacking Version 5 • 5 minutes
  • Delete Obsolete Descriptions from Hacking Version 5 • 3 minutes
  • Programming (while statement) • 30 minutes
  • Programming (range type) • 30 minutes
  • Program Hacking Version 5 • 30 minutes

Module 6: Hacking Version 6

In Module 6, you will learn a new control abstraction called a user-defined function. You will learn how to implement user-defined functions using two new Python statements (function definition, return). You will employ these Python constructs to significantly improve the quality of your code in Hacking Version 6.

8 videos 8 readings 19 quizzes

8 videos • Total 63 minutes

  • Solution Issues in Hacking Version 5 • 3 minutes • Preview module
  • Python Function Definitions • 15 minutes
  • Python Function Parameters • 6 minutes
  • Python Main Function and Identifier Scope • 9 minutes
  • Python Return Statement • 5 minutes
  • Python Side Effects • 6 minutes
  • Program Hacking Version 6 • 9 minutes
  • Review Code for Hacking Version 6 • 8 minutes

8 readings • Total 80 minutes

  • Syntax Diagrams and Sample Problem(function definition) • 10 minutes
  • Semantic Rules and Sample Problem (function definition) • 10 minutes
  • Syntax Diagrams (parameter list) • 10 minutes
  • Semantic Rules and Sample Problem (parameter list) • 10 minutes
  • Syntax Diagrams and Sample Problem (return statement) • 10 minutes
  • Semantic Rules and Sample Problem (return statement) • 10 minutes
  • Hacking Version 6 Solution Code • 10 minutes
  • Software Quality Tests for Hacking Version 6 • 10 minutes

19 quizzes • Total 434 minutes

  • Lexical Analysis (review) • 29 minutes
  • Syntax Analysis (function definition) • 42 minutes
  • Evaluation (function definition) • 8 minutes
  • Syntax Analysis (parameter list) • 33 minutes
  • Semantic Analysis (parameter list) • 29 minutes
  • Evaluation (function parameters) • 8 minutes
  • Evaluation (main function) • 12 minutes
  • Syntax Analysis (return statement) • 27 minutes
  • Evaluation (return statement) • 12 minutes
  • Evaluation (side effects) • 8 minutes
  • Reflect on Language Concepts used in Hacking Version 6 • 11 minutes
  • Semantic Analysis (function definition) • 18 minutes
  • Programming (function definition) • 30 minutes
  • Programming (function parameters) • 30 minutes
  • Programming (main function) • 30 minutes
  • Semantic Analysis (return statement) • 17 minutes
  • Programming (return statement) • 30 minutes
  • Programming (side effects) • 30 minutes
  • Program Hacking Version 6 • 30 minutes

Module 7: Hacking Version 7

In Module 7, you will not learn any new problem-solving techniques or Python language features. Instead you will exercise your problem-solving skills and practice the language constructs you already know to improve your proficiency. You will add some fun features to the Hacking game by designing, coding, testing, and debugging Hacking Version 7.

5 videos 8 readings 2 quizzes

5 videos • Total 12 minutes

  • Solution Issues in Hacking Version 6 • 1 minute • Preview module
  • Observe Hacking Version 7 • 1 minute
  • Create Algorithm for Hacking Version 7 • 3 minutes
  • Program Hacking Version 7 • 3 minutes
  • Identify Solution Issues in Hacking Version 7 • 2 minutes

8 readings • Total 65 minutes

  • Play Hacking Version 7 • 10 minutes
  • Describe Hacking Version 7 • 10 minutes
  • Hacking Version 7 Description Solution • 5 minutes
  • Create Test Plan for Hacking Version 7 • 10 minutes
  • Hacking Version 7 Test Plan Solution • 5 minutes
  • Create Algorithm for Hacking Version 7 • 10 minutes
  • Hacking Version 7 Algorithm Solution • 5 minutes
  • Hacking Version 7 Solution Code • 10 minutes

2 quizzes • Total 35 minutes

  • Understand Hacking Version 7 • 5 minutes
  • Program Hacking Version 7 • 30 minutes

Module 8: Poke the Dots Version 1 & 2

In Module 8, you will design and implement Version 1 of a new graphical game called Poke the Dots. You will then modify your game design using data abstraction to create user-defined classes. You will learn two new Python statements (class definition, pass) that will allow you to construct your own Python types. You will employ these Python constructs to implement Poke the Dots Version 2.

12 videos 21 readings 17 quizzes

12 videos • Total 83 minutes

  • Introduction to Poke the Dots • 4 minutes • Preview module
  • Observe Poke the Dots Version 1 • 0 minutes
  • Create Algorithm for Poke the Dots Version 1 • 12 minutes
  • Python Import Statement Variations • 9 minutes
  • Python Pass Statement • 2 minutes
  • Program Poke the Dots Version 1 • 13 minutes
  • Review Code for Poke the Dots Version 1 • 9 minutes
  • Solution Issues in Poke the Dots Version 1 • 2 minutes
  • Create Algorithm for Poke the Dots Version 2 • 2 minutes
  • Python Class Definition • 15 minutes
  • Program Poke the Dots Version 2 • 5 minutes
  • Review Code for Poke the Dots Version 2 • 7 minutes

21 readings • Total 185 minutes

  • Play Poke the Dots • 10 minutes
  • Play Poke the Dots Version 1 • 10 minutes
  • Describe Poke the Dots Version 1 • 10 minutes
  • Poke the Dots Version 1 Description Solution • 5 minutes
  • Create Test Plan for Poke the Dots Version 1 • 10 minutes
  • Poke the Dots Version 1 Test Plan Solution • 5 minutes
  • Create Algorithm for Poke the Dots Version 1 • 10 minutes
  • Poke the Dots Version 1 Algorithm Solution • 5 minutes
  • Syntax Diagrams and Sample Problem(import statement variations) • 10 minutes
  • Semantic Rules and Sample Problem (import statement variations) • 10 minutes
  • Syntax Diagrams and Sample Problem(pass statement) • 10 minutes
  • Semantic Rules and Sample Problem (pass statement) • 10 minutes
  • Poke the Dots Version 1 Solution Code • 10 minutes
  • Updated Algorithm for Poke the Dots Version 1 • 10 minutes
  • Poke the Dots Version 1 Updated Algorithm Solution • 5 minutes
  • Create Algorithm for Poke the Dots Version 2 • 10 minutes
  • Poke the Dots Version 2 Algorithm Solution • 5 minutes
  • Syntax Diagrams and Sample Problem (class definition) • 10 minutes
  • Semantic Rules and Sample Problem (class definition) • 10 minutes
  • Poke the Dots Version 2 Solution Code • 10 minutes
  • Software Quality Tests for Poke the Dots Version 2 • 10 minutes

17 quizzes • Total 351 minutes

  • Lexical Analysis (review) • 38 minutes
  • Syntax Analysis (import statement variations) • 18 minutes
  • Semantic Analysis (import statement variations) • 12 minutes
  • Programming (import statement variations) • 30 minutes
  • Syntax Analysis (pass statement) • 24 minutes
  • Semantic Analysis (pass statement) • 21 minutes
  • Programming (pass statement) • 30 minutes
  • Reflect on Language Concepts used in Poke the Dots Version 1 • 6 minutes
  • Syntax Analysis (class definition) • 21 minutes
  • Syntax Analysis (assignment target: attribute reference) • 21 minutes
  • Semantic Analysis (class definition) • 24 minutes
  • Programming (class definition) • 30 minutes
  • Reflect on Language Concepts used in Poke the Dots Version 2 • 6 minutes
  • Understand Poke the Dots • 5 minutes
  • Understand Poke the Dots Version 1 • 5 minutes
  • Program Poke the Dots Version 1 • 30 minutes
  • Program Poke the Dots Version 2 • 30 minutes

Module 9: Poke the Dots Version 3

In Module 9, you will not learn any new problem-solving techniques or Python language features. Instead you will exercise your problem-solving skills and practice the language constructs you already know to improve your proficiency. You will add some fun features to the Poke the Dots game by designing, coding, testing, and debugging Poke the Dots Version 3.

5 videos 8 readings 5 quizzes

5 videos • Total 9 minutes

  • Solution Issues in Poke the Dots Version 2 • 1 minute • Preview module
  • Observe Poke the Dots Version 3 • 1 minute
  • Create Algorithm for Poke the Dots Version 3 • 1 minute
  • Program Poke the Dots Version 3 • 1 minute
  • Review Code for Poke the Dots Version 3 • 4 minutes
  • Play Poke the Dots Version 3 • 10 minutes
  • Describe Poke the Dots Version 3 • 10 minutes
  • Poke the Dots Version 3 Description Solution • 5 minutes
  • Create Test Plan for Poke the Dots Version 3 • 10 minutes
  • Poke the Dots Version 3 Test Plan Solution • 5 minutes
  • Create Algorithm for Poke the Dots Version 3 • 10 minutes
  • Poke the Dots Version 3 Algorithm Solution • 5 minutes
  • Poke the Dots Version 3 Solution Code • 10 minutes

5 quizzes • Total 65 minutes

  • Reflect on Event Categories Used in Poke the Dots Version 3 • 20 minutes
  • Understand Poke the Dots Version 3 • 5 minutes
  • Delete Obsolete Descriptions for Poke the Dots Version 3 • 5 minutes
  • Delete Obsolete Tests for Poke the Dots Version 3 • 5 minutes
  • Program Poke the Dots Version 3 • 30 minutes

Module 10: Poke the Dots Version 4

In Module 10, you will modify your game design using a new form of control abstraction called user-defined methods. User-defined methods allow you to restrict access to the attributes of a class to improve data abstraction. You will employ user-defined methods to implement Poke the Dots Version 4.

6 videos 5 readings 5 quizzes

6 videos • Total 38 minutes

  • Solution Issues in Poke the Dots Version 3 • 4 minutes • Preview module
  • Create Algorithm for Poke the Dots Version 4 • 5 minutes
  • Python User-defined Methods and Self • 11 minutes
  • Python Private Attributes • 3 minutes
  • Program Poke the Dots Version 4 • 6 minutes
  • Review Code for Poke the Dots Version 4 • 7 minutes

5 readings • Total 45 minutes

  • Create Algorithm for Poke the Dots Version 4 • 10 minutes
  • Poke the Dots Version 4 Algorithm Solution • 5 minutes
  • Semantic Rules and Sample Problem (user-defined methods) • 10 minutes
  • Poke the Dots Version 4 Solution Code • 10 minutes
  • Software Quality Tests for Poke the Dots Version 4 • 10 minutes

5 quizzes • Total 128 minutes

  • Programming (user-defined methods) • 30 minutes
  • Reflect on Language Concepts used in Poke the Dots Version 4 • 8 minutes
  • Semantic Analysis (user-defined methods) • 30 minutes
  • Program Poke the Dots Version 4 • 30 minutes

Module 11: Poke the Dots Version 5

In Module 11, you will not learn any new problem-solving techniques or Python language features. Instead you will exercise your problem-solving skills and practice the language constructs you already know to improve your proficiency. You will add some fun features to the Poke the Dots game by designing, coding, testing, and debugging Poke the Dots Version 5.

5 videos • Total 8 minutes

  • Solution Issues in Poke the Dots Version 4 • 0 minutes • Preview module
  • Observe Poke the Dots Version 5 • 1 minute
  • Create Algorithm for Poke the Dots Version 5 • 0 minutes
  • Program Poke the Dots Version 5 • 1 minute
  • Solution Issues in Poke the Dots Version 5 • 4 minutes
  • Play Poke the Dots Version 5 • 10 minutes
  • Describe Poke the Dots Version 5 • 10 minutes
  • Poke the Dots Version 5 Description Solution • 5 minutes
  • Create Test Plan for Poke the Dots Version 5 • 10 minutes
  • Poke the Dots Version 5 Test Plan Solution • 5 minutes
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Problem Solving and Programming with Python

For Anna University

Price: 580.00 INR

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9780190120931

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241.0x184.0mm

Problem Solving and Programming with Python

Second Edition

Reema Thareja

The second edition of Problem Solving and Programming with Python is designed as a textbook to meet the requirements of the Python programming course offered to the first year engineering students of Anna University. The book provides an introduction to the problem solving approaches and object oriented programming. It deals with the fundamentals and important features of Python language such as control statements, functions, strings, files, data structures, classes and objects, and exception handling.

Rights:  World Rights

  • Algorithmic Problem Solving
  • Basics of Python Programming
  • Control Flow Statements
  • Lists, Tuples, and Dictionaries
  • File Handling
  • Error and Exception Handling, Modules, Packages
  • Complete coverage of the Problem Solving and Python Programming syllabus offered by Anna University.
  • Simple and to-the-point explanations of concepts using numerous programming examples that make the text easy to understand.
  • Detailed coverage of fundamental constructs, strings, file handling, classes, and exception handling in Python.
  • Notes and programming tips provided to emphasize on the important concepts and help readers avoid common programming errors.
  • Lab exercises and illustrative examples explained through algorithms and flowcharts to help readers hone their logical and programming abilities.
  • Case studies on creating calculator, calendar, and hash files, compressing strings and files, image processing, shuffling a deck of cards, and mail merge along with programs are interspersed within the text.
  • Strong chapter-end pedagogy including plenty of objective-type questions, review questions, programming and debugging exercises to facilitate revision and practice of concepts learnt.
  • 2 solved question papers and 2 solved model question papers included to help readers prepare for the university examinations.
  • 6 annexures and 4 appendices covering differences between Python 2.x and 3.x, installing Python, debugging and testing, Turtle graphics, plotting graphs, and GUI Programming provided to supplement the text.
  • New topics as required by the syllabus such as Python interpreter and interactive mode, Fruitful functions, function composition, mutability, list parameters, list as arrays, Boolean values and operators
  • More illustrative examples added under Algorithms, Pseudocode, and Flowcharts
  • Elaboration on topics such as modules, packages, command line arguments (under File Handling)
  • Complete solutions for previous years' Anna University question papers of Python Programming (Dec/ Jan 2017/18 and Dec/ Jan 2018/19)
  • Chapter-wise PPTs
  • Solutions Manual
  • Chapters on Inheritance and Operator Overloading
  • Additional Material
  • Lab Exercises
  • Test Generator
  • Solutions to Find the Output and Error Exercises
  • Extra Reading Material
  • Additional Algorithms, Pseudocodes, and Flowcharts

Related categories

  • Engineering > Computer Science Engineering > Programming Languages

problem solving and programming with python

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35 Python Programming Exercises and Solutions

To understand a programming language deeply, you need to practice what you’ve learned. If you’ve completed learning the syntax of Python programming language, it is the right time to do some practice programs.

In this article, I’ll list down some problems that I’ve done and the answer code for each exercise. Analyze each problem and try to solve it by yourself. If you have any doubts, you can check the code that I’ve provided below. I’ve also attached the corresponding outputs.

1. Python program to check whether the given number is even or not.

2. python program to convert the temperature in degree centigrade to fahrenheit, 3. python program to find the area of a triangle whose sides are given, 4. python program to find out the average of a set of integers, 5. python program to find the product of a set of real numbers, 6. python program to find the circumference and area of a circle with a given radius, 7. python program to check whether the given integer is a multiple of 5, 8. python program to check whether the given integer is a multiple of both 5 and 7, 9. python program to find the average of 10 numbers using while loop, 10. python program to display the given integer in a reverse manner, 11. python program to find the geometric mean of n numbers, 12. python program to find the sum of the digits of an integer using a while loop, 13. python program to display all the multiples of 3 within the range 10 to 50, 14. python program to display all integers within the range 100-200 whose sum of digits is an even number, 15. python program to check whether the given integer is a prime number or not, 16. python program to generate the prime numbers from 1 to n, 17. python program to find the roots of a quadratic equation, 18. python program to print the numbers from a given number n till 0 using recursion, 19. python program to find the factorial of a number using recursion, 20. python program to display the sum of n numbers using a list, 21. python program to implement linear search, 22. python program to implement binary search, 23. python program to find the odd numbers in an array, 24. python program to find the largest number in a list without using built-in functions, 25. python program to insert a number to any position in a list, 26. python program to delete an element from a list by index, 27. python program to check whether a string is palindrome or not, 28. python program to implement matrix addition, 29. python program to implement matrix multiplication, 30. python program to check leap year, 31. python program to find the nth term in a fibonacci series using recursion, 32. python program to print fibonacci series using iteration, 33. python program to print all the items in a dictionary, 34. python program to implement a calculator to do basic operations, 35. python program to draw a circle of squares using turtle.

problem solving and programming with python

For practicing more such exercises, I suggest you go to  hackerrank.com  and sign up. You’ll be able to practice Python there very effectively.

Once you become comfortable solving coding challenges, it’s time to move on and build something cool with your skills. If you know Python but haven’t built an app before, I suggest you check out my  Create Desktop Apps Using Python & Tkinter  course. This interactive course will walk you through from scratch to building clickable apps and games using Python.

I hope these exercises were helpful to you. If you have any doubts, feel free to let me know in the comments.

Happy coding.

I'm the face behind Pythonista Planet. I learned my first programming language back in 2015. Ever since then, I've been learning programming and immersing myself in technology. On this site, I share everything that I've learned about computer programming.

11 thoughts on “ 35 Python Programming Exercises and Solutions ”

I don’t mean to nitpick and I don’t want this published but you might want to check code for #16. 4 is not a prime number.

Thanks man for pointing out the mistake. I’ve updated the code.

# 8. Python program to check whether the given integer is a multiple of both 5 and 7:

You can only check if integer is a multiple of 35. It always works the same – just multiply all the numbers you need to check for multiplicity.

For reverse the given integer n=int(input(“enter the no:”)) n=str(n) n=int(n[::-1]) print(n)

very good, tnks

Please who can help me with this question asap

A particular cell phone plan includes 50 minutes of air time and 50 text messages for $15.00 a month. Each additional minute of air time costs $0.25, while additional text messages cost $0.15 each. All cell phone bills include an additional charge of $0.44 to support 911 call centers, and the entire bill (including the 911 charge) is subject to 5 percent sales tax.

We are so to run the code in phyton

this is best app

Hello Ashwin, Thanks for sharing a Python practice

May be in a better way for reverse.

#”’ Reverse of a string

v_str = str ( input(‘ Enter a valid string or number :- ‘) ) v_rev_str=” for v_d in v_str: v_rev_str = v_d + v_rev_str

print( ‘reverse of th input string / number :- ‘, v_str ,’is :- ‘, v_rev_str.capitalize() )

#Reverse of a string ”’

Problem 15. When searching for prime numbers, the maximum search range only needs to be sqrt(n). You needlessly continue the search up to //n. Additionally, you check all even numbers. As long as you declare 2 to be prime, the rest of the search can start at 3 and check every other number. Another big efficiency improvement.

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Why Python?

You might be wondering "Why should I solve problems with Python?" There are other programming languages in the world such as MATLAB, LabView, C++ and Java. What makes Python useful for solving problems?

Python is a powerful programming language

Python defines the types of objects you build into your code. Unlike some other languages such as C, you do not need to declare the object type. The object type is also mutable, you can change the type of object easily and on the fly. There is a wide array of object types built into Python. Objects can change in size. Python objects can also contain mixed data types. Strings and floating point numbers can be part of the same list.

Python has an extensive Standard Library. A huge number of object types, functions and methods are available for use without importing any external modules. These include math functions, list methods, and calls to a computer's system. There is a lot that can be done with the Python Standard Library. The first couple of chapters of this book will just use the standard library. It can do a lot.

Python has over 100,000 external packages available for download and use. They are easy to install off of the Python Package Index, commonly called PyPI ("pie pee eye"). There is a Python package for just about everything. There are packages which can help you: interact with the web, make complex computations, calculate unit conversions, plot data, work with .csv, .xls, and .pdf files, manipulate images and video, read data from sensors and test equipment, train machine learning algorithms, design web apps, work with GIS data, work with astronautical data. There are and many more Python packages added to PyPI every day. In this book, we will use some of the more useful Python packages for problem solvers such as NumPy, Matplotlib, and SymPy.

Python is easy to learn and use

One way Problem solvers code solutions faster in Python faster than coding solutions in other programming languages is that Python is easy to learn and use. Python programs tend to be shorter and quicker to write than a program which completes a similar function in another languages. In the rapid design, prototype, test, iterate cycle programming solutions in Python can be written and tested quickly. Python is also an easy language for fellow problem solvers on your team to learn. Python's language syntax is also quite human readable. While programmers can become preoccupied with a program's runtime, it is development time that takes the longest.

Python is transportable

Python can be installed and run on each of the three major operating systems: Windows, Mac and Linux. On Mac and Linux Python comes installed out of the box. Just open up a terminal in on a MacOS or Linux machine and type python . That's it, you are now using Python. On Windows, I recommend downloading and installing the Anaconda distribution of Python. The Anaconda distribution of Python is free and can be installed on all three major operating systems.

Python is free

Some computer languages used for problem solving such as MATLAB and LabView cost money to download and install. Python is free to download and use. Python is also open source and individuals are free to modify, contribute to, and propose improvements to Python. All of the packages available on the Python Package Index are free to download and install. Many more packages, scripts and utilities can be found in open source code repositories on GitHub and BitBucket.

Python is growing

Python is growing in popularity. Python is particularly growing in the data sciences and in use with GIS systems, physical modeling, machine learning and computer vision. These are growing team problem-solving areas for engineers.

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