Python Programming Exercises, Gently Explained Al Sweigart
✒️ By Al Sweigart
If you’ve ever wanted to really get Python, but felt lost in complicated jargon or endless theory, this book’s your new best friend. ‘Python Programming Exercises, Gently Explained’ by Al Sweigart serves up bite-sized challenges with down-to-earth explanations. It’s approachable, even if you’re just starting out. The PDF format makes it handy for offline learningperfect for lunch breaks or late-night study sessions.
Some of the exercises included in the book
- Exercise #1: Hello, World!
- Exercise #2: Temperature Conversion
- Exercise #3: Odd & Even
- Exercise #4: Area & Volume
- Exercise #5: Fizz Buzz
- Exercise #6: Ordinal Suffix
- Exercise #7: ASCII Table
- Exercise #8: Read Write File
- Exercise #9: Chess Square Color
- Exercise #10: Find and Replace
- Exercise #11: Hours, Minutes, Seconds
- Exercise #12: Smallest & Biggest
- Exercise #13: Sum & Product
- Exercise #14: Average
- Exercise #15: Median
- Exercise #16: Mode
- Exercise #17: Dice Roll
- Exercise #18: Buy 8 Get 1 Free
- Exercise #19: Password Generator
- Exercise #20: Leap Year
- Exercise #21: Validate Date
- Exercise #22: Rock, Paper, Scissors
- Exercise #23: 99 Bottles of Beer
- Exercise #24: Every 15 Minutes
- Exercise #25: Multiplication Table
- Exercise #26: Handshakes
- Exercise #27: Rectangle Drawing
What Will This Book Do For You?
The author of this book book say, the book “offers 42 programming exercises for inexperienced Python programmers. I’ve gathered them into this book and combined them with plain-English explanations. You can read the description for each exercise and start on the solution immediately.
If you need further help, you can read about the programming concepts you’ll need to know for the solution.
You can also find out about any surprising ―gotchas‖ you might encounter while writing your solution. Finally, if you still need help, I provide a fill-in-the-blank template of the solution. Try to resist the temptation to immediately jump to the hints; try to solve these exercises yourself first. As you work through these exercises, you’ll find that some use the same coding techniques as other problems.
A lot of programming expertise develops this way: being able to solve a problem isn’t about how smart you are but if you’ve seen similar problems before. My aim isn’t to stump you with complex, contrived programming challenges but help you explore simple problems with gentle explanations”.
Book Overview
This book isn’t just another dry programming manual. Each chapter introduces a core Python concept and then follows up with hands-on problems. You’ll start with basics like variables and loops, and before you know it, you’re solving puzzles using lists and functions. What’s cool is how the book offers gentle explanations after every exercise. If you’ve checked out resources like the Python Programming Wikibooks PDF, you’ll notice Sweigart’s style is way more conversational and friendly.
Why Read This Book
Ever tried learning from a book that left you scratching your head? Yeah, me too. That’s why I’m such a fan of this one! Al Sweigart doesn’t just throw code at youhe explains the why behind each step. The exercises are fun but never pointless (no boring “Hello World” loops here). And hey, if you want to see how Python gets used for real-world stuff like image processing, take a peek at Programming Computer Vision with Python as a next step.
Who This Book Is For
If you’re new to coding or just switching to Python from another language, this book’s for you! Teachers and self-learners will both find value in its clear structure and practical approach. Even if you’ve dabbled in Python before but want to sharpen your problem-solving skills, these exercises are gold. Don’t worry about getting stuckthe answers are explained without making you feel silly for not knowing.
What You Will Learn
- The basics of Python syntax (without the headache)
- How to use loops and conditionals like a pro
- Building and manipulating lists and dictionaries
- Writing functions that actually make sense
- Debugging tips that save hours of frustration
- Practical ways to apply Python to real problems
- Confidence to tackle tougher coding projects on your own
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