Learn Python Programming: A comprehensive, up-to-date, and definitive guide to learning Python

As someone who has dabbled in Python for a while, I was looking for a book that could take my skills to the next level. "Learn Python Programming, Fourth Edition" by Fabrizio Romano and Heinrich Kruger did exactly that and more!Strengths:1. Comprehensive Coverage: The book covers everything from the basics to advanced topics like OOP, decorators, and iterators. It's a one-stop shop for anyone looking to master Python.2. Practical Examples: Each concept is explained with clear, practical examples that make it easy to understand and apply.3. Best Practices: The emphasis on coding standards and best practices, such as following PEP 8, is invaluable. It teaches you not just how to code, but how to code well.4. Modern Features: The inclusion of modern Python features and tools ensures that the content is relevant and up-to-date.5. Engaging Writing Style: The authors have a way of making complex topics approachable and even enjoyable to learn.Weaknesses:The book is quite dense, which might be overwhelming for absolute beginners. However, the effort put into reading it is well worth it.Conclusion:Whether you're a beginner or an experienced programmer looking to deepen your understanding of Python, this book is an excellent resource. It's clear that the authors have put a lot of thought and expertise into creating a comprehensive guide that will stand the test of time. Highly recommended!

A Must-Have Guide for Python Enthusiasts! Whether you’re a complete beginner or an experienced programmer looking to deepen your understanding of Python, this edition of Learn Python Programming offers something for everyone. The authors have updated this edition to cover Python 3.9 to 3.12, ensuring you’re learning the most current features, such as pattern matching, enhanced exception handling, and type hinting. The chapters on CLI applications and APIs are especially insightful, blending practical knowledge with hands-on examples that you can apply immediately. What sets this book apart is its clarity and breadth. It balances foundational topics like data structures, loops, and functions with advanced concepts like object-oriented programming, cryptography, and testing. The addition of real-world projects and competitive programming challenges ensures that the learning is not just theoretical but highly practical. I particularly appreciated the sections on packaging Python applications and building APIs with FastAPI – essential skills for any developer in today’s tech landscape. The book also provides guidance on avoiding common pitfalls, enabling readers to write clean, reusable, and efficient code confidently. Overall, this book is a comprehensive and engaging resource that delivers on its promise. I highly recommend it to anyone eager to master Python or use it effectively in various domains like web development, data science, or automation. It’s a worthy investment for your programming library!

Great resource for getting up to date info about Python!I haven't used python, extensively, since version 2, so having this as a great refresher to help me get up to speed with the latest changes was useful.

Lots of: go read the manual, here is a link to the documentation, basically stuff you could do on your own without buying this book. I'm on a kindle scribe so i don't know if the paper book version does this but there a lot of walls of text that makes it really hard to read with especially the part on .venv commands. Unlike other python books and video courses they recommend things in their own way that isn't really new user friendly.There is no way this is a 5/5 book, so maybe they got their friends to pump it up?

This guide to Python programming offers a detailed overview for both novice and experienced developers, starting with installation instructions for Windows, Mac, and Linux to ensure accessibility. It emphasizes writing clean, reusable, and efficient code while avoiding common errors like duplication and over-engineering. The book covers both functional and object-oriented programming, and dives into building APIs with FastAPI and CLI applications. Topics like data persistence, cryptography, and data manipulation using Python's built-in structures are thoroughly discussed. It also guides readers on packaging applications for distribution through PyPI and includes strategies for competitive programming. Overall, the book is a comprehensive resource for creating proficient and secure Python applications in various domains.