Are There Good Books For Python With Practical Coding Exercises?

2025-07-17 20:47:06 191

3 Answers

Ulysses
Ulysses
2025-07-20 20:19:59
I've been coding in Python for a few years now, and the best book I’ve found for hands-on practice is 'Python Crash Course' by Eric Matthes. It’s perfect for beginners and intermediates because it doesn’t just dump theory on you—it throws you into projects right away. The first half covers basics like lists, loops, and functions, but the second half is where it shines with three big projects: a Space Invaders-style game, a data visualization tool using Matplotlib, and a web app with Django. Each chapter ends with exercises that reinforce what you’ve learned, and the projects are structured so you can tweak them to make them your own. Another solid pick is 'Automate the Boring Stuff with Python' by Al Sweigart. It’s less about abstract concepts and more about writing scripts to handle real-world tasks, like renaming files or scraping websites. The exercises are practical enough that you’ll probably use variations of them in your daily work.
Isaac
Isaac
2025-07-20 09:39:24
As someone who teaches coding workshops, I’m always on the lookout for books that balance theory with actionable exercises. 'Fluent Python' by Luciano Ramalho is a standout for intermediate learners. It dives deep into Python’s idiomatic features—like decorators, generators, and context managers—but every concept is paired with a coding challenge. For example, you’ll rebuild a sliceable sequence class to understand how Python’s protocols work under the hood. The exercises aren’t just fill-in-the-blank; they’re miniature projects that force you to think critically.

For beginners, 'Python Workout' by Reuven M. Lerner is a goldmine. It’s structured around 50 exercises, each focusing on a specific problem (e.g., processing log files or simulating a restaurant menu). What I love is that solutions are explained line by line, with alternatives highlighting different approaches. If you’re into data science, 'Python for Data Analysis' by Wes McKinney (creator of pandas) includes datasets and tasks to clean, transform, and visualize real-world data. The exercises mirror what data analysts do daily, making it incredibly relevant.
Addison
Addison
2025-07-21 13:53:26
If you learn by doing, 'Effective Python' by Brett Slatkin is my top recommendation. Each of its 90 items is a self-contained lesson with a coding exercise. One item might have you optimize a function using `functools.lru_cache`, while another walks you through subclassing `collections.UserDict`. The exercises are short but pack a punch—they’re designed to make you *notice* Python’s quirks, like how mutable defaults can trip you up.

For a project-based approach, 'Real Python' (the book version of the tutorial site) is fantastic. You’ll build a password generator, a weather app with APIs, and even a blockchain prototype. The exercises include ‘extra mile’ prompts to push you further. Another underrated gem is 'Python Tricks' by Dan Bader. It feels like a cheat code for writing elegant Python, with exercises on everything from context managers to metaprogramming. The key is that the exercises aren’t just about correctness; they’re about writing code that’s *Pythonic*.
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