國立高雄大學圖資館 |

Language: English

Back

Deep Dive Pythontechniques and best ...

Divakaran, Adarsh.

Deep Dive Pythontechniques and best practices for developers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deep Dive Pythonby 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.
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language)
Online resource:	https://doi.org/10.1007/979-8-8688-1261-3
ISBN:	9798868812613$q(electronic bk.)

Deep Dive Pythontechniques 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$q(electronic bk.)

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

215247
Python (Computer program language)

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Deep Dive Pythontechniques and best practices for developers /
LDR:03291nmm a2200325 a 4500 001 686128
003 DE-He213
005 20250819130256.0
006 m d
007 cr nn 008maaau
008 260209s2025 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 1000244
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 215247
650 0 $a Object-oriented programming (Computer science) $3 184801
650 1 4 $a Python. $3 763308
650 2 4 $a Programming Language. $3 913494
710 2 $a SpringerLink (Online service) $3 273601
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)