東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Deep Dive Python = techniques and be...

Divakaran, Adarsh.

Linked to FindBook

Google Book

Amazon

博客來

Deep Dive Python = techniques and best practices for developers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deep Dive Python/ by Adarsh Divakaran.
Reminder of title:	techniques and best practices for developers /
Author:	Divakaran, Adarsh.
Published:	Berkeley, CA :Apress : : 2025.,
Description:	xxvii, 756 p. :ill., digital ;24 cm.
[NT 15003449]:	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
Subject:	Python (Computer program language) -
Online resource:	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

Deep Dive Python = techniques and best practices for developers /
LDR:03290nmm a2200325 a 4500 001 2414455
003 DE-He213
005 20250819130256.0
006 m d
007 cr nn 008maaau
008 260205s2025 cau s 0 eng d
020 $a 9798868812613 $q (electronic bk.)
020 $a 9798868812606 $q (paper)
024 7 $a 10.1007/979-8-8688-1261-3 $2 doi
035 $a 979-8-8688-1261-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.73.P98
072 7 $a UMX $2 bicssc
072 7 $a COM051360 $2 bisacsh
072 7 $a UMX $2 thema
082 0 4 $a 005.133 $2 23
090 $a QA76.73.P98 $b D618 2025
100 1 $a Divakaran, Adarsh. $3 3791142
245 1 0 $a Deep Dive Python $h [electronic resource] : $b techniques and best practices for developers / $c by Adarsh Divakaran.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2025.
300 $a xxvii, 756 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
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.
650 0 $a Python (Computer program language) $3 729789
650 0 $a Object-oriented programming (Computer science) $3 549278
650 1 4 $a Python. $3 3201289
650 2 4 $a Programming Language. $3 3538935
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-1261-3
950 $a Professional and Applied Computing (SpringerNature-12059)