Clean Code in Python
(eBook)

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Published:
[United States] : Packt Publishing, 2021.
Format:
eBook
Content Description:
1 online resource (422 pages)
Status:

Description

Experienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code. With 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. The 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. The 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. By 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.

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Language:
English
ISBN:
9781800562097, 1800562098

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Restrictions on Access
Instant title available through hoopla.
Description
Experienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code. With 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. The 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. The 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. By 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.
System Details
Mode of access: World Wide Web.

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Citations

APA Citation (style guide)

Anaya, M. (2021). Clean Code in Python. Packt Publishing.

Chicago / Turabian - Author Date Citation (style guide)

Anaya, Mariano. 2021. Clean Code in Python. Packt Publishing.

Chicago / Turabian - Humanities Citation (style guide)

Anaya, Mariano, Clean Code in Python. Packt Publishing, 2021.

MLA Citation (style guide)

Anaya, Mariano. Clean Code in Python. Packt Publishing, 2021.

Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.

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Grouped Work ID:
7e9d4d2f-6714-5fe7-7084-412a858443c7
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Hoopla Extract Information

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dateLastUpdatedDec 11, 2024 06:18:43 PM

Record Information

Last File Modification TimeSep 03, 2025 02:11:57 AM
Last Grouped Work Modification TimeSep 03, 2025 01:26:10 AM

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