Robust Python: Write Clean and Maintainable Code
Robust Python: Write Clean and Maintainable Code is a practical book by Patrick Viafore about using Python's type system, extensibility and testing to make growing codebases easier to understand and maintain. It is aimed at readers ready to move beyond basic scripting and make deliberate choices about types, linters and tests.
At a glance
- Covers Python type hints, classes and enums, with attention to what different type choices communicate.
- Discusses extending Python code without adding unnecessary complexity.
- Includes approaches to finding maintainability issues and using linters and tests as a safety net.
Often bought together
Pros and cons
Pros
- Focuses on practical code-maintenance decisions, including how type choices express intent.
- Combines extensibility topics with testing and linting rather than treating code structure in isolation.
- The 378-page print edition offers substantial coverage for readers developing beyond beginner projects.
Technical specifications
8 specifications| Publisher | O'Reilly Media |
|---|---|
| Publication date | 31 Dec. 2021 |
| Language | English |
| Print length | 378 pages |
| ISBN-10 | 1098100662 |
| ISBN-13 | 978-1098100667 |
| Weight listed | 1.05 kg |
|---|---|
| Dimensions | 17.78 x 2.54 x 22.86 cm |
Who is it for?
A good fit for
- Python developers looking to make larger codebases clearer and easier to maintain.
- Readers who want practical guidance on type hints, user-defined types, testing and linting.
Less suited to
- Readers seeking an introductory guide to learning Python from scratch.
- Buyers looking primarily for a reference to Python syntax rather than maintainability practices.
Customer reviews on Amazon
- 5 stars
77% 77% - 4 stars
15% 15% - 3 stars
5% 5% - 2 stars
1% 1% - 1 star
2% 2%
Customer feedback describes the book as informative and praises its practical examples for helping readers move code from student-level towards production-level. That focus aligns with the listed coverage of types, testing and maintainability. Aggregate ratings are mostly in the higher star categories, but they do not establish how the book will suit an individual reader.
Positive themes
- Feedback highlights informative content and clear practical examples.
Frequently asked questions
What topics does Robust Python cover?
The listing describes coverage of Python's type system, including type hints, classes and enums, extensibility, maintainability checks, linters and tests.
Is this a beginner's Python tutorial?
The supplied description focuses on improving and maintaining Python codebases. It does not present the book as a from-scratch introduction.
How long is the print edition?
The listing states a print length of 378 pages.
