Video description
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
A wealth of information on general software architecture and truths that are applicable to any language.
David T. Kerns, Rincon Research Corporation
Professional developers know the many benefits of writing application code that’s clean, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a new level.
With Practices of the Python Pro, you’ll learn to design professional-level, clean, easily maintainable software at scale using the incredibly popular programming language, Python. You’ll find easy-to-grok examples that use pseudocode and Python to introduce software development best practices, along with dozens of instantly useful techniques that will help you code like a pro.
about the technology
Professional-quality code does more than just run without bugs. It’s clean, readable, and easy to maintain. To step up from a capable Python coder to a professional developer, you need to learn industry standards for coding style, application design, and development process. That’s where this book is indispensable.
about the book
Practices of the Python Pro teaches you to design and write professional-quality software that’s understandable, maintainable, and extensible. Dane Hillard is a Python pro who has helped many dozens of developers make this step, and he knows what it takes. With helpful examples and exercises, he teaches you when, why, and how to modularize your code, how to improve quality by reducing complexity, and much more. Embrace these core principles, and your code will become easier for you and others to read, maintain, and reuse.
what's inside
- Organizing large Python projects
- Achieving the right levels of abstraction
- Writing clean, reusable code Inheritance and composition
- Considerations for testing and performance
about the audience
For readers familiar with the basics of Python, or another OO language.
about the author
Dane Hillard has spent the majority of his development career using Python to build web applications.
Get this book, and begin to write Python code like a professional.Davide Cadamuro, BMW Group
This will take a Python developer down a path to becoming a pro.
Joseph Perenia, Sony Interactive Entertainment
NARRATED BY LISA FARINA
Table of contents
- Part 1. Why it all matters
- Chapter 1. The bigger picture
- Chapter 1. Design is a process
- Chapter 1. Design enables better software
- Chapter 1. When to invest in design
- Chapter 1. Design is democratic
- Part 2. Foundations of design
- Chapter 2. Modules
- Chapter 2. Separation of concerns
- Chapter 2. The many masks of importing
- Chapter 2. The hierarchy of separation in Python
- Chapter 2. Classes
- Chapter 3. Abstraction and encapsulation
- Chapter 3. Encapsulation
- Chapter 3. Programming styles are an abstraction too
- Chapter 3. Typing, inheritance, and polymorphism
- Chapter 4. Designing for high performance
- Chapter 4. Time complexity
- Chapter 4. Performance and data types
- Chapter 4. Make it work, make it right, make it fast
- Chapter 4. Tools
- Chapter 5. Testing your software
- Chapter 5. Functional testing approaches
- Chapter 5. Integration testing
- Chapter 5. Statements of fact
- Chapter 5. Writing your first integration test with unittest
- Chapter 5. Testing with pytest
- Chapter 5. Beyond functional testing
- Part 3. Nailing down large systems
- Chapter 6. Separation of concerns in practice
- Chapter 6. An initial code structure, by concern
- Chapter 6. The persistence layer
- Chapter 6. The persistence layer
- Chapter 6. The business logic layer
- Chapter 6. The presentation layer
- Chapter 6. The presentation layer
- Chapter 7. Extensibility and flexibility
- Chapter 7. Modifying existing behaviors
- Chapter 7. Solutions for rigidity
- Chapter 7. An exercise in extension
- Chapter 8. The rules (and exceptions) of inheritance
- Chapter 8. The inheritance of programming present
- Chapter 8. Inheritance in Python
- Chapter 8. Abstract base classes
- Chapter 8. Inheritance and composition in Bark
- Chapter 9. Keeping things lightweight
- Chapter 9. Breaking down complexity
- Chapter 9. Decomposing classes
- Chapter 9. Extracting classes and forwarding calls
- Chapter 10. Achieving loose coupling
- Chapter 10. Recognizing coupling
- Chapter 10. Addressing coupling
- Part 4. What’s next?
- Chapter 11. Onward and upward
- Chapter 11. Design patterns
- Chapter 11. Distributed systems
- Chapter 11. Where you’ve been
Product information
- Title: Practices of the Python Pro video edition
- Author(s):
- Release date: December 2019
- Publisher(s): Manning Publications
- ISBN: None
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