1. About the Book | Item | Details | |------|----------| | Title | Python Crash Course: A Hands‑On, Project‑Based Introduction to Programming | | Author | Eric Matthes | | Publisher | No Starch Press (First edition 2015, 2nd edition 2019) | | Pages | ~560 (2nd ed.) | | Target Audience | Absolute beginners, self‑learners, and anyone transitioning to Python from another language. Also useful as a textbook for an introductory programming course. | | Core Philosophy | “Learn by doing.” The book is split into two halves: the first teaches fundamentals, the second applies them in three progressively larger projects. | 2. Structure & Pedagogical Flow Part I – Fundamentals (Chapters 1‑11) | Chapter | Core Topics | Notable Teaching Techniques | |---------|-------------|------------------------------| | 1. Getting Started | Installing Python, running scripts, basic syntax | Emphasizes the REPL, prints “Hello, World!” | | 2. Variables & Data Types | Numbers, strings, lists, tuples, dictionaries, comments | Interactive “think‑and‑code” exercises at the end of each section | | 3. Working with Lists | List methods, loops, list comprehensions | Real‑world examples (shopping list, high‑score table) | | 4. If‑Statements | Boolean logic, comparison operators, elif / else | Mini‑games (guess‑the‑number) to cement flow control | | 5. User Input & While Loops | input() , type conversion, infinite loops, break/continue | Gradual buildup of a text‑based adventure | | 6. Functions | Defining, arguments, return values, scope, docstrings | Emphasizes DRY (Don’t Repeat Yourself) principle | | 7. Classes | OOP basics: class definition, __init__ , methods, inheritance | Simple Car and Dog examples before moving to the project | | 8. Files & Exceptions | Reading/writing files, try/except , with context manager | Log‑file handling and data persistence | | 9. Testing | unittest , test discovery, assertion patterns | Test‑driven mindset introduced early | |10. Debugging | pdb , stack traces, common errors, using IDE debuggers | Practical debugging of a deliberately broken script | |11. Project Planning | Flowcharts, pseudo‑code, version control basics (Git) | Sets the stage for the project part |
1. About the Book | Item | Details | |------|----------| | Title | Python Crash Course: A Hands‑On, Project‑Based Introduction to Programming | | Author | Eric Matthes | | Publisher | No Starch Press (First edition 2015, 2nd edition 2019) | | Pages | ~560 (2nd ed.) | | Target Audience | Absolute beginners, self‑learners, and anyone transitioning to Python from another language. Also useful as a textbook for an introductory programming course. | | Core Philosophy | “Learn by doing.” The book is split into two halves: the first teaches fundamentals, the second applies them in three progressively larger projects. | 2. Structure & Pedagogical Flow Part I – Fundamentals (Chapters 1‑11) | Chapter | Core Topics | Notable Teaching Techniques | |---------|-------------|------------------------------| | 1. Getting Started | Installing Python, running scripts, basic syntax | Emphasizes the REPL, prints “Hello, World!” | | 2. Variables & Data Types | Numbers, strings, lists, tuples, dictionaries, comments | Interactive “think‑and‑code” exercises at the end of each section | | 3. Working with Lists | List methods, loops, list comprehensions | Real‑world examples (shopping list, high‑score table) | | 4. If‑Statements | Boolean logic, comparison operators, elif / else | Mini‑games (guess‑the‑number) to cement flow control | | 5. User Input & While Loops | input() , type conversion, infinite loops, break/continue | Gradual buildup of a text‑based adventure | | 6. Functions | Defining, arguments, return values, scope, docstrings | Emphasizes DRY (Don’t Repeat Yourself) principle | | 7. Classes | OOP basics: class definition, __init__ , methods, inheritance | Simple Car and Dog examples before moving to the project | | 8. Files & Exceptions | Reading/writing files, try/except , with context manager | Log‑file handling and data persistence | | 9. Testing | unittest , test discovery, assertion patterns | Test‑driven mindset introduced early | |10. Debugging | pdb , stack traces, common errors, using IDE debuggers | Practical debugging of a deliberately broken script | |11. Project Planning | Flowcharts, pseudo‑code, version control basics (Git) | Sets the stage for the project part |
