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Python Practice Lab de Angelica Lim

Python Practice Lab

Autor Angelica Lim, Victor Cheung
en Limba Engleză Paperback – 31 mar 2026

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Specificații

ISBN-13: 9780691243603
ISBN-10: 0691243603
Pagini: 160
Dimensiuni: 175 x 251 x 12 mm
Greutate: 0.34 kg
Editura: Princeton University Press

Notă biografică

Angelica Lim is assistant professor in computing science at Simon Fraser University. An award-winning roboticist and a champion for diversity in computer science, she is the founder of Invent the Future, a summer enrichment program at SFU begun in partnership with the nonprofit AI4ALL. Victor Cheung is lecturer in computing science at Simon Fraser University. An experienced educator teaching a wide range of computer science courses from general introduction to programming to specialized human-centered computing, he is an advocate for improving user experience and user empowerment via user-centered design approaches.

Cuprins

  • Preface
  • Guiding Principles
  • 1 Introduction to Computer Science
    • 1.1 Welcome to CS!
      • 1.1.1 Learning Outcomes
      • 1.1.2 Alien Explanations
      • 1.1.3 Writing and Running Your Programs
      • 1.1.4 Motivational Quote Generator
      • 1.1.5 Review Questions
      • 1.1.6 Practice Exercises
      • 1.1.7 Glossary
      • 2 Chatbots
        • 2.1 Chatbots with Personality
          • 2.1.1 Learning Outcomes
          • 2.1.2 Greetings Chatbot
          • 2.1.3 How’s It Going Bot
          • 2.1.4 Horoscope Bot
          • 2.1.5 Review Questions
          • 2.1.6 Practice Exercises
          • 2.1.7 Glossary
          • 2.2 Chatbots with Loops
            • 2.2.1 Learning Outcomes
            • 2.2.2 A Robust Bot
            • 2.2.3 Food Bot
            • 2.2.4 Measuring Things in Canada
            • 2.2.5 Bubble Tea Menu
            • 2.2.6 Mind Reader Game
            • 2.2.7 Review Questions
            • 2.2.8 Practice Exercises
            • 2.2.9 Glossary
            • 3 Recommendation Systems
              • 3.1 Popularity Contest
                • 3.1.1 Learning Outcomes
                • 3.1.2 Popular Cafe Finder
                • 3.1.3 Chip Rater
                • 3.1.4 Movie Rater
                • 3.1.5 Review Questions
                • 3.1.6 Practice Exercises
                • 3.1.7 Glossary
                • 3.2 Finding Your Match
                  • 3.2.1 Learning Outcomes
                  • 3.2.2 Data Files
                  • 3.2.3 Favourite Pets
                  • 3.2.4 Similarity Score
                  • 3.2.5 Who Is Most Similar to You?
                  • 3.2.6 Review Questions
                  • 3.2.7 Practice Exercises
                  • 3.2.8 Glossary
                  • 4 Graphics and Computer Vision
                    • 4.1 Interactive Drawings
                      • 4.1.1 Learning Outcomes
                      • 4.1.2 Basic Turtle Commands
                      • 4.1.3 Interactive Drawing with Turtle
                      • 4.1.4 Cookie Drawer
                      • 4.1.5 Review Questions
                      • 4.2 Image Processing
                        • 4.2.1 Learning Outcomes
                        • 4.2.2 Green or Not?
                        • 4.2.3 Image Magic
                        • 4.2.4 Cool Colours Module
                        • 4.2.5 Review Questions
                        • 4.2.6 Practice Exercises
                        • 4.3 Drawing Trees
                          • 4.3.1 Learning Outcomes
                          • 4.3.2 Intro to Recursion
                          • 4.3.3 Recursion Revisited
                          • 4.3.4 Review Questions
                          • 4.3.5 Practice Exercises
                          • 5 Internet and Big Data
                            • 5.1 Searching
                              • 5.1.1 Learning Outcomes
                              • 5.1.2 Linear Search
                              • 5.1.3 Binary Search
                              • 5.1.4 Review Questions
                              • 5.1.5 Practice Exercises
                              • 5.2 Sorting
                                • 5.2.1 Learning Outcomes
                                • 5.2.2 Selection Sort
                                • 5.2.3 Merge Sort
                                • 5.2.4 Review Questions
                                • 5.2.5 Practice Exercises
                                • 5.3 Map, Filter, Reduce
                                  • 5.3.1 Learning Outcomes
                                  • 5.3.2 Review Questions
                                  • 5.3.3 Practice Exercises
                                  • 6 Expert Projects
                                    • 6.1 Audio-Visual Language Learning Chatbot
                                    • 6.2 Interactive Image Processor
                                    • Index