Mastering Go: Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures
bDive deep into the Go language and become an expert Go developer/b h4Key Features/h4 ulliSecond edition of the bestselling guide to advanced Go programming, expanded to cover machine learning, more Go packages and a range of modern development techniques /li liCompletes the Go developer's educ...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2019
|
| Ausgabe: | 2 |
| Schlagworte: | |
| Online-Zugang: | FHI01 Inhaltsverzeichnis |
| Zusammenfassung: | bDive deep into the Go language and become an expert Go developer/b h4Key Features/h4 ulliSecond edition of the bestselling guide to advanced Go programming, expanded to cover machine learning, more Go packages and a range of modern development techniques /li liCompletes the Go developer's education with real-world guides to building high-performance production systems /li liPacked with practical examples and patterns to apply to your own development work /li liClearly explains Go nuances and features to remove the frustration from Go development/li/ul h4Book Description/h4 Often referred to (incorrectly) as Golang, Go is the high-performance systems language of the future. Mastering Go, Second Edition helps you become a productive expert Go programmer, building and improving on the groundbreaking first edition. Mastering Go, Second Edition shows how to put Go to work on real production systems. For programmers who already know the Go language basics, this book provides examples, patterns, and clear explanations to help you deeply understand Go's capabilities and apply them in your programming work. The book covers the nuances of Go, with in-depth guides on types and structures, packages, concurrency, network programming, compiler design, optimization, and more. Each chapter ends with exercises and resources to fully embed your new knowledge. This second edition includes a completely new chapter on machine learning in Go, guiding you from the foundation statistics techniques through simple regression and clustering to classification, neural networks, and anomaly detection. Other chapters are expanded to cover using Go with Docker and Kubernetes, Git, WebAssembly, JSON, and more. If you take the Go programming language seriously, the second edition of this book is an essential guide on expert techniques. h4What you will learn/h4 ulliClear guidance on using Go for production systems /li liDetailed explanations of how Go internals work, the design choices behind the language, and how to optimize your Go code /li liA full guide to all Go data types, composite types, and data structures /li liMaster packages, reflection, and interfaces for effective Go programming /li liBuild high-performance systems networking code, including server and client-side applications /li liInterface with other systems using WebAssembly, JSON, and gRPC /li liWrite reliable, high-performance concurrent code /li liBuild machine learning systems in Go, from simple statistical regression to complex neural networks/li/ul h4Who this book is for/h4 Mastering Go, Second Edition is for Go programmers who already know the language basics, and want to become expert Go practitioners |
| Beschreibung: | 1 Online-Ressource (798 Seiten) |
| ISBN: | 9781838555320 |
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| 245 | 1 | 0 | |a Mastering Go |b Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures |c Tsoukalos, Mihalis |
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| 520 | |a bDive deep into the Go language and become an expert Go developer/b h4Key Features/h4 ulliSecond edition of the bestselling guide to advanced Go programming, expanded to cover machine learning, more Go packages and a range of modern development techniques /li liCompletes the Go developer's education with real-world guides to building high-performance production systems /li liPacked with practical examples and patterns to apply to your own development work /li liClearly explains Go nuances and features to remove the frustration from Go development/li/ul h4Book Description/h4 Often referred to (incorrectly) as Golang, Go is the high-performance systems language of the future. Mastering Go, Second Edition helps you become a productive expert Go programmer, building and improving on the groundbreaking first edition. Mastering Go, Second Edition shows how to put Go to work on real production systems. | ||
| 520 | |a For programmers who already know the Go language basics, this book provides examples, patterns, and clear explanations to help you deeply understand Go's capabilities and apply them in your programming work. The book covers the nuances of Go, with in-depth guides on types and structures, packages, concurrency, network programming, compiler design, optimization, and more. Each chapter ends with exercises and resources to fully embed your new knowledge. This second edition includes a completely new chapter on machine learning in Go, guiding you from the foundation statistics techniques through simple regression and clustering to classification, neural networks, and anomaly detection. Other chapters are expanded to cover using Go with Docker and Kubernetes, Git, WebAssembly, JSON, and more. If you take the Go programming language seriously, the second edition of this book is an essential guide on expert techniques. | ||
| 520 | |a h4What you will learn/h4 ulliClear guidance on using Go for production systems /li liDetailed explanations of how Go internals work, the design choices behind the language, and how to optimize your Go code /li liA full guide to all Go data types, composite types, and data structures /li liMaster packages, reflection, and interfaces for effective Go programming /li liBuild high-performance systems networking code, including server and client-side applications /li liInterface with other systems using WebAssembly, JSON, and gRPC /li liWrite reliable, high-performance concurrent code /li liBuild machine learning systems in Go, from simple statistical regression to complex neural networks/li/ul h4Who this book is for/h4 Mastering Go, Second Edition is for Go programmers who already know the language basics, and want to become expert Go practitioners | ||
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Datensatz im Suchindex
| _version_ | 1804182071693803520 |
|---|---|
| adam_text | TABLE
OF
CONTENT
1
ABSTRACT
.............................................................................................................................................
2
2
STATE
OF
THE
ART
..................................................................................................................................
4
2.1
METALLIC
AND
SEMICONDUCTIVE
NANOCRYSTALS
AS
COLLOIDAL
BUILDING
BLOCKS
...................................
4
2.2
CONCEPT
OF
LARGE-SCALE
COLLOIDAL
SELF-ASSEMBLY
.........................................................................
7
2.3
FUNCTIONAL
OPTICAL
NANOMATERIALS
BY
COLLOIDAL
SELF-ASSEMBLY
...................................................
9
2.4
SCOPE
........................................................................................................................................
13
2.5
REFERENCES...............................................................................................................................
14
3
SINGLE
COLLOIDAL
CAVITIES
....................................................................................................................
20
3.1
NANORATTLES
WITH
TAILORED
ELECTRIC
FIELD
ENHANCEMENT
...........................................................
20
4
COLLOIDAL
-TO-FILM
COUPLED
CAVITIES
...................................................................................................
31
4.1
TEMPLATE-ASSISTED
COLLOIDAL
SELF-ASSEMBLY
OF
MACROSCOPIC
MAGNETIC
METASURFACES
...........
31
4.2
SINGLE
PARTICLE
SPECTROSCOPY
OF
RADIATIVE
PROCESSES
IN
COLLOID-TO-FILM-COUPLED
NANOANTENNAS
50
4.3
ACTIVE
PLASMONIC
COLLOID-TO-FILM
COUPLED
CAVITIES
FOR
TAILORED
LIGHT-MATTER
INTERACTIONS
....
65
5
COLLOIDAL
POLYMERS
...........................................................................................................................
74
5.1
DIRECT
OBSERVATION
OF
PLASMON
BAND
FORMATION
AND
DELOCALIZATION
IN
QUASI-INFINITE
NANOPARTICLE
CHAINS
.............................................................................................................................
74
6
COLLOIDAL
LATTICE
................................................................................................................................
84
6.1
HYBRIDIZED
GUIDED-NODE
RESONANCES
VIA
COLLOIDAL
PLASMONIC
SELF-ASSEMBLED
GRATING
.........
84
6.2
MECHANOTUNABLE
SURFACE
LATTICE
RESONANCES
IN
THE
VISIBLE
OPTICAL
RANGE
BY
SOFT
LITHOGRAPHY
TEMPLATES
AND
DIRECTED
SELF-ASSEMBLY
...............................................................................................
94
6.3
TUNABLE
CIRCULAR
DICHROISM
BY
PHOTOLUMINESCENT
MOIRE
GRATINGS
......................................
103
7
CONCLUSION
AND
PERSPECTIVE
...........................................................................................................
112
8
APPENDIX
........................................................................................................................................
113
8.1
FURTHER
PUBLICATIONS
DURING
THE
HABILITATION
PERIOD
.............................................................
113
8.2
CURRICULUM
VITAE
OF
THE
AUTHOR
..............................................................................................
116
9
ACKNOWLEDGMENTS
.........................................................................................................................
117
10
DECLARATION
................................................................................................................................
118
|
| adam_txt |
TABLE
OF
CONTENT
1
ABSTRACT
.
2
2
STATE
OF
THE
ART
.
4
2.1
METALLIC
AND
SEMICONDUCTIVE
NANOCRYSTALS
AS
COLLOIDAL
BUILDING
BLOCKS
.
4
2.2
CONCEPT
OF
LARGE-SCALE
COLLOIDAL
SELF-ASSEMBLY
.
7
2.3
FUNCTIONAL
OPTICAL
NANOMATERIALS
BY
COLLOIDAL
SELF-ASSEMBLY
.
9
2.4
SCOPE
.
13
2.5
REFERENCES.
14
3
SINGLE
COLLOIDAL
CAVITIES
.
20
3.1
NANORATTLES
WITH
TAILORED
ELECTRIC
FIELD
ENHANCEMENT
.
20
4
COLLOIDAL
-TO-FILM
COUPLED
CAVITIES
.
31
4.1
TEMPLATE-ASSISTED
COLLOIDAL
SELF-ASSEMBLY
OF
MACROSCOPIC
MAGNETIC
METASURFACES
.
31
4.2
SINGLE
PARTICLE
SPECTROSCOPY
OF
RADIATIVE
PROCESSES
IN
COLLOID-TO-FILM-COUPLED
NANOANTENNAS
50
4.3
ACTIVE
PLASMONIC
COLLOID-TO-FILM
COUPLED
CAVITIES
FOR
TAILORED
LIGHT-MATTER
INTERACTIONS
.
65
5
COLLOIDAL
POLYMERS
.
74
5.1
DIRECT
OBSERVATION
OF
PLASMON
BAND
FORMATION
AND
DELOCALIZATION
IN
QUASI-INFINITE
NANOPARTICLE
CHAINS
.
74
6
COLLOIDAL
LATTICE
.
84
6.1
HYBRIDIZED
GUIDED-NODE
RESONANCES
VIA
COLLOIDAL
PLASMONIC
SELF-ASSEMBLED
GRATING
.
84
6.2
MECHANOTUNABLE
SURFACE
LATTICE
RESONANCES
IN
THE
VISIBLE
OPTICAL
RANGE
BY
SOFT
LITHOGRAPHY
TEMPLATES
AND
DIRECTED
SELF-ASSEMBLY
.
94
6.3
TUNABLE
CIRCULAR
DICHROISM
BY
PHOTOLUMINESCENT
MOIRE
GRATINGS
.
103
7
CONCLUSION
AND
PERSPECTIVE
.
112
8
APPENDIX
.
113
8.1
FURTHER
PUBLICATIONS
DURING
THE
HABILITATION
PERIOD
.
113
8.2
CURRICULUM
VITAE
OF
THE
AUTHOR
.
116
9
ACKNOWLEDGMENTS
.
117
10
DECLARATION
.
118 |
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| id | DE-604.BV047069643 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:13:33Z |
| indexdate | 2024-07-10T09:01:43Z |
| institution | BVB |
| isbn | 9781838555320 |
| language | English |
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| spelling | Tsoukalos, Mihalis Verfasser aut Mastering Go Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures Tsoukalos, Mihalis 2 Birmingham Packt Publishing Limited 2019 1 Online-Ressource (798 Seiten) txt rdacontent c rdamedia cr rdacarrier bDive deep into the Go language and become an expert Go developer/b h4Key Features/h4 ulliSecond edition of the bestselling guide to advanced Go programming, expanded to cover machine learning, more Go packages and a range of modern development techniques /li liCompletes the Go developer's education with real-world guides to building high-performance production systems /li liPacked with practical examples and patterns to apply to your own development work /li liClearly explains Go nuances and features to remove the frustration from Go development/li/ul h4Book Description/h4 Often referred to (incorrectly) as Golang, Go is the high-performance systems language of the future. Mastering Go, Second Edition helps you become a productive expert Go programmer, building and improving on the groundbreaking first edition. Mastering Go, Second Edition shows how to put Go to work on real production systems. For programmers who already know the Go language basics, this book provides examples, patterns, and clear explanations to help you deeply understand Go's capabilities and apply them in your programming work. The book covers the nuances of Go, with in-depth guides on types and structures, packages, concurrency, network programming, compiler design, optimization, and more. Each chapter ends with exercises and resources to fully embed your new knowledge. This second edition includes a completely new chapter on machine learning in Go, guiding you from the foundation statistics techniques through simple regression and clustering to classification, neural networks, and anomaly detection. Other chapters are expanded to cover using Go with Docker and Kubernetes, Git, WebAssembly, JSON, and more. If you take the Go programming language seriously, the second edition of this book is an essential guide on expert techniques. h4What you will learn/h4 ulliClear guidance on using Go for production systems /li liDetailed explanations of how Go internals work, the design choices behind the language, and how to optimize your Go code /li liA full guide to all Go data types, composite types, and data structures /li liMaster packages, reflection, and interfaces for effective Go programming /li liBuild high-performance systems networking code, including server and client-side applications /li liInterface with other systems using WebAssembly, JSON, and gRPC /li liWrite reliable, high-performance concurrent code /li liBuild machine learning systems in Go, from simple statistical regression to complex neural networks/li/ul h4Who this book is for/h4 Mastering Go, Second Edition is for Go programmers who already know the language basics, and want to become expert Go practitioners COMPUTERS / Client-Server Computing COMPUTERS / Web / Web Programming DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032476669&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Tsoukalos, Mihalis Mastering Go Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures COMPUTERS / Client-Server Computing COMPUTERS / Web / Web Programming |
| title | Mastering Go Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures |
| title_auth | Mastering Go Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures |
| title_exact_search | Mastering Go Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures |
| title_exact_search_txtP | Mastering Go Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures |
| title_full | Mastering Go Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures Tsoukalos, Mihalis |
| title_fullStr | Mastering Go Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures Tsoukalos, Mihalis |
| title_full_unstemmed | Mastering Go Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures Tsoukalos, Mihalis |
| title_short | Mastering Go |
| title_sort | mastering go create golang production applications using network libraries concurrency machine learning and advanced data structures |
| title_sub | Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures |
| topic | COMPUTERS / Client-Server Computing COMPUTERS / Web / Web Programming |
| topic_facet | COMPUTERS / Client-Server Computing COMPUTERS / Web / Web Programming |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032476669&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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