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Deep Dive Python = techniques and be...

Divakaran, Adarsh.

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Deep Dive Python = techniques and best practices for developers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep Dive Python/ by Adarsh Divakaran.
其他題名:	techniques and best practices for developers /
作者:	Divakaran, Adarsh.
出版者:	Berkeley, CA :Apress : : 2025.,
面頁冊數:	xxvii, 756 p. :ill., digital ;24 cm.
內容註:	Chapter 1: Lists -- Chapter 2: Tuples -- Chapter 3: Set and Dictionary -- Chapter 4: Logging -- Chapter 5: Exceptions -- Chapter 6: Functions and Functools -- Chapter 7: Classes and Object Oriented Programming -- Chapter 8: Dunder Methods -- Chapter 9: Decorators -- Chapter 10: Metaclasses -- Chapter 11: Typing -- Chapter 12: Generators and iterators -- Chapter 13: Itertools -- Chapter 14: Multithreading -- Chapter 15: Multiprocessing -- Chapter 16: Asyncio -- Chapter 17: Data Serialization and Persistence -- Chapter 18: Context Managers and Contextlib -- Chapter 19: Abstract Base Classes -- Chapter 20: Packaging -- Chapter 21: Dependency Management.
Contained By:	Springer Nature eBook
標題:	Python (Computer program language) -
電子資源:	https://doi.org/10.1007/979-8-8688-1261-3
ISBN:	9798868812613

Deep Dive Python = techniques and best practices for developers /
Divakaran, Adarsh.

Deep Dive Pythontechniques and best practices for developers /[electronic resource] :by Adarsh Divakaran. - Berkeley, CA :Apress :2025. - xxvii, 756 p. :ill., digital ;24 cm.

Chapter 1: Lists -- Chapter 2: Tuples -- Chapter 3: Set and Dictionary -- Chapter 4: Logging -- Chapter 5: Exceptions -- Chapter 6: Functions and Functools -- Chapter 7: Classes and Object Oriented Programming -- Chapter 8: Dunder Methods -- Chapter 9: Decorators -- Chapter 10: Metaclasses -- Chapter 11: Typing -- Chapter 12: Generators and iterators -- Chapter 13: Itertools -- Chapter 14: Multithreading -- Chapter 15: Multiprocessing -- Chapter 16: Asyncio -- Chapter 17: Data Serialization and Persistence -- Chapter 18: Context Managers and Contextlib -- Chapter 19: Abstract Base Classes -- Chapter 20: Packaging -- Chapter 21: Dependency Management.

Take your programming skills to the next level by expanding real-world Python applications in open-source code. This book is an essential guide for experienced developers looking to enhance their Python proficiency. Using code examples from popular open-source projects you'll master Python concepts and see how they are applied in production-level code. By understanding code from established projects, you'll develop a deeper appreciation for Python's capabilities and learn best practices that have been battle-tested in the real world. You'll gain the confidence to tackle complex projects, optimize your code, and implement advanced Python features effectively. You'll also examine typing, generators, iterators, the itertools module, multithreading, multiprocessing, and asyncio. This will equip you to build production-ready Python programs and libraries. Whether you're building large-scale applications, contributing to open-source projects, or solving intricate programming challenges, Deep Dive Python will provide you with the knowledge and practical experience to excel in your Python development journey. You will: Master Python's core data structures and how to use them effectively. Implement decorators, descriptors, metaclasses, and abstract base classes in your code Enhance your code with functional programming techniques using the functools module Improve iteration with generators, iterators, and the itertools module Select the best Python concurrent programming models to use for optimal performance Apply best practices for code organization, packaging, and creating maintainable Python projects.

ISBN: 9798868812613

Standard No.: 10.1007/979-8-8688-1261-3doiSubjects--Topical Terms:

729789
Python (Computer program language)

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

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520 $a Take your programming skills to the next level by expanding real-world Python applications in open-source code. This book is an essential guide for experienced developers looking to enhance their Python proficiency. Using code examples from popular open-source projects you'll master Python concepts and see how they are applied in production-level code. By understanding code from established projects, you'll develop a deeper appreciation for Python's capabilities and learn best practices that have been battle-tested in the real world. You'll gain the confidence to tackle complex projects, optimize your code, and implement advanced Python features effectively. You'll also examine typing, generators, iterators, the itertools module, multithreading, multiprocessing, and asyncio. This will equip you to build production-ready Python programs and libraries. Whether you're building large-scale applications, contributing to open-source projects, or solving intricate programming challenges, Deep Dive Python will provide you with the knowledge and practical experience to excel in your Python development journey. You will: Master Python's core data structures and how to use them effectively. Implement decorators, descriptors, metaclasses, and abstract base classes in your code Enhance your code with functional programming techniques using the functools module Improve iteration with generators, iterators, and the itertools module Select the best Python concurrent programming models to use for optimal performance Apply best practices for code organization, packaging, and creating maintainable Python projects.
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