Python Architecture Patterns : Master API Design, Event-driven Structures, and Package Management in Python
Saved in:
| Title: | Python Architecture Patterns : Master API Design, Event-driven Structures, and Package Management in Python |
|---|---|
| Description: | Make the best of your test suites by using cutting-edge software architecture patterns in PythonKey FeaturesLearn how to create scalable and maintainable applicationsBuild a web system for micro messaging using concepts in the bookUse profiling to find bottlenecks and improve the speed of the systemBook DescriptionDeveloping large-scale systems that continuously grow in scale and complexity requires a thorough understanding of how software projects should be implemented. Software developers, architects, and technical management teams rely on high-level software design patterns such as microservices architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD) to make their work easier.This book covers these proven architecture design patterns with a forward-looking approach to help Python developers manage application complexity―and get the most value out of their test suites.Starting with the initial stages of design, you will learn about the main blocks and mental flow to use at the start of a project. The book covers various architectural patterns like microservices, web services, and event-driven structures and how to choose the one best suited to your project. Establishing a foundation of required concepts, you will progress into development, debugging, and testing to produce high-quality code that is ready for deployment. You will learn about ongoing operations on how to continue the task after the system is deployed to end users, as the software development lifecycle is never finished.By the end of this Python book, you will have developed'architectural thinking': a different way of approaching software design, including making changes to ongoing systems.What you will learnThink like an architect, analyzing software architecture patternsExplore API design, data storage, and data representation methodsInvestigate the nuances of common architectural structuresUtilize and interoperate elements of patterns such as microservicesImplement test-driven development to perform quality code testingRecognize chunks of code that can be restructured as packagesMaintain backward compatibility and deploy iterative changesWho this book is forThis book will help software developers and architects understand the structure of large complex systems and adopt architectural patterns that are scalable. Examples in the book are implemented in Python so a fair grasp of basic Python concepts is expected. Proficiency in any programming languages such as Java or JavaScript is sufficient. |
| Authors: | Jaime Buelta |
| Resource Type: | eBook. |
| Subjects: | Software patterns, Python (Computer program language) |
| Categories: | COMPUTERS / General |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 3134268 RelevancyScore: 1110 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1109.74133300781 |
| IllustrationInfo | |
| ImageInfo | – Size: thumb Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3134268$PDF&s=r – Size: medium Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3134268$PDF&s=d |
| Items | – Name: Title Label: Title Group: Ti Data: Python Architecture Patterns : Master API Design, Event-driven Structures, and Package Management in Python – Name: Abstract Label: Description Group: Ab Data: Make the best of your test suites by using cutting-edge software architecture patterns in PythonKey FeaturesLearn how to create scalable and maintainable applicationsBuild a web system for micro messaging using concepts in the bookUse profiling to find bottlenecks and improve the speed of the systemBook DescriptionDeveloping large-scale systems that continuously grow in scale and complexity requires a thorough understanding of how software projects should be implemented. Software developers, architects, and technical management teams rely on high-level software design patterns such as microservices architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD) to make their work easier.This book covers these proven architecture design patterns with a forward-looking approach to help Python developers manage application complexity―and get the most value out of their test suites.Starting with the initial stages of design, you will learn about the main blocks and mental flow to use at the start of a project. The book covers various architectural patterns like microservices, web services, and event-driven structures and how to choose the one best suited to your project. Establishing a foundation of required concepts, you will progress into development, debugging, and testing to produce high-quality code that is ready for deployment. You will learn about ongoing operations on how to continue the task after the system is deployed to end users, as the software development lifecycle is never finished.By the end of this Python book, you will have developed'architectural thinking': a different way of approaching software design, including making changes to ongoing systems.What you will learnThink like an architect, analyzing software architecture patternsExplore API design, data storage, and data representation methodsInvestigate the nuances of common architectural structuresUtilize and interoperate elements of patterns such as microservicesImplement test-driven development to perform quality code testingRecognize chunks of code that can be restructured as packagesMaintain backward compatibility and deploy iterative changesWho this book is forThis book will help software developers and architects understand the structure of large complex systems and adopt architectural patterns that are scalable. Examples in the book are implemented in Python so a fair grasp of basic Python concepts is expected. Proficiency in any programming languages such as Java or JavaScript is sufficient. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jaime+Buelta%22">Jaime Buelta</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Software+patterns%22">Software patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Python+%28Computer+program+language%29%22">Python (Computer program language)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+General%22">COMPUTERS / General</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=3134268 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 005.133 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Software patterns Type: general – SubjectFull: Python (Computer program language) Type: general Titles: – TitleFull: Python Architecture Patterns : Master API Design, Event-driven Structures, and Package Management in Python Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jaime Buelta – PersonEntity: Name: NameFull: Jaime Buelta IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 – D: 30 M: 09 Type: profile Y: 2022 Identifiers: – Type: isbn-print Value: 9781801819992 – Type: isbn-electronic Value: 9781801811774 Titles: – TitleFull: Python Architecture Patterns : Master API Design, Event-driven Structures, and Package Management in Python Type: main |
| ResultId | 1 |