Preface
[ 3 ]
What this book covers
Chapter 1, Introduction, Code Formatting, and Tools, is an introduction to the main tools you
need to set up a development environment in Python. We cover the basics a Python
developer is recommended to know to start working with the language, as well as some
guidelines for maintaining readable code in the project, such as tools for static analysis,
documentation, type checking, and code formatting.
Chapter 2, Pythonic Code, looks at the first idioms in Python, which we will continue to use
in the following chapters. We cover the particular features of Python, how they should be
used, and we start building knowledge around the idea that Pythonic code is in general
much better quality code.
Chapter 3, General Traits of Good Code, reviews general principles of software engineering
that focus on writing maintainable code. We explore the idea and apply the concepts with
the tools in the language.
Chapter 4, The SOLID Principles, covers a set of design principles for object-oriented
software design. This acronym is part of the language or jargon of software engineering,
and we see how each one of them can be applied to Python. Arguably not all of them are
entirely applicable due to the nature of the language.
Chapter 5, Using Decorators to Improve Our Code, looks at one of the greatest features of
Python. After understanding how to create decorators (for functions and classes), we put
them in action for reusing code, separating responsibilities, and creating more granular
functions.
Chapter 6, Getting More Out of Our Objects with Descriptors, explores descriptors in Python,
which take object-oriented design to a new level. While this is a feature more related to
frameworks and tools, we can see how to improve the readability of our code with
descriptors, and also reuse code.
Chapter 7, Using Generators, shows that generators are probably the best feature of Python.
The fact that iteration is a core component of Python could make us think that it leads to a
new programming paradigm. By using generators and iterators in general, we can think
about the way we write our programs. With the lessons learned from generators, we go
further and learn about coroutines in Python, and the basics of asynchronous
programming.
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