Clean code in python: develop maintainable and efficient code, 2nd edition, mariano anaya

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Tackle inefficiencies and errors the Pythonic way \nKey Features \n

- Enhance your coding skills using the new features introduced in Python 3.9
\n

- Implement the refactoring techniques and SOLID principles in Python
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- Apply microservices to your legacy systems by implementing practical techniques
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\nBook Description \nExperienced professionals in every field face several
instances of disorganization, poor readability, and testability due to
unstructured code. \n \nWith updated code and revised content aligned to the
new features of Python 3.9, this second edition of Clean Code in Python will
provide you with all the tools you need to overcome these obstacles and manage
your projects successfully. \n \nThe book begins by describing the basic
elements of writing clean code and how it plays a key role in Python
programming. You will learn about writing efficient and readable code using
the Python standard library and best practices for software design. \n \nThe
book discusses object-oriented programming in Python and shows you how to use
objects with descriptors and generators. It will also show you the design
principles of software testing and how to resolve problems by implementing
software design patterns in your code. In the concluding chapter, we break
down a monolithic application into a microservices-based one starting from the
code as the basis for a solid platform. \n \nBy the end of this clean code
book, you will be proficient in applying industry-approved coding practices to
design clean, sustainable, and readable real-world Python code. \nWhat you
will learn \n \n

- Set up a productive development environment by leveraging automatic tools
\n

- Leverage the magic methods in Python to write better code, abstracting complexity away and encapsulating details
\n

- Create advanced object-oriented designs using unique features of Python, such as descriptors
\n

- Eliminate duplicated code by creating powerful abstractions using software engineering principles of object-oriented design
\n

- Create Python-specific solutions using decorators and descriptors
\n

- Refactor code effectively with the help of unit tests
\n

- Build the foundations for solid architecture with a clean code base as its cornerstone
\n

\nWho this book is for \nThis book is designed to benefit new as well as
experienced programmers. It will appeal to team leads, software architects and
senior software engineers who would like to write Pythonic code to save on
costs and improve efficiency. The book assumes that you have a strong
understanding of programming

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