國立虎尾科技大學 |

Practical Docker with Python = Build, Release, and Distribute Your Python App with Docker /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Practical Docker with Python/ by Sathyajith Bhat.
Reminder of title:	Build, Release, and Distribute Your Python App with Docker /
Author:	Bhat, Sathyajith.
Description:	XVIII, 239 p. 34 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Open Source. -
Online resource:	https://doi.org/10.1007/978-1-4842-7815-4
ISBN:	9781484278154

Practical Docker with Python = Build, Release, and Distribute Your Python App with Docker /
Bhat, Sathyajith.

Practical Docker with PythonBuild, Release, and Distribute Your Python App with Docker /[electronic resource] :by Sathyajith Bhat. - 2nd ed. 2022. - XVIII, 239 p. 34 illus.online resource.

Chapter 1: Introduction to Containerization & Docker -- Chapter 2: Docker 101 -- mands Chapter 3: Building the Python App -- Chapter 4: Understanding Dockerfile -- Chapter 5: Understanding Docker Volumes -- Chapter 6: Docker Networking -- Chapter 7: Multi Container Applications -- Chapter 8: Preparing for Production Deployments.

Learn the fundamentals of containerization and get acquainted with Docker. This second edition builds upon the foundation of the first book by revising all the chapters, updating the commands, code, and examples to meet the changes in Docker. It also introduces a new chapter on setting up your application for production deployment and breaks down terminologies like Dockerfile and Docker volumes while taking you on a guided tour of building a telegram bot using Python. You'll start with a brief history of how containerization has changed over the years. Next, we look at how to install (including using the new WSL2 mode) and get started with Docker. The next couple of chapters will focus on understanding the Dockerfile, including the structure and the core instructions used in building a Docker image. You'll also see how to distribute Docker images using Docker hub and other private registries. From there, you'll look at using Docker volumes for persisting data. Then learn how to run multi-container applications with Docker compose and learn inter-container networking works with Docker networks. Finally, you'll look at how to prepare a containerized application for production deployments. Throughout the book you'll apply the techniques learned through the chapters by building a Telegram messenger Chatbot and see how much easier Docker makes it possible to build, release, contribute and distribute an application. In addition, the book shows how optimize the Docker images for production servers by using multi-stage builds and improve the reliability of your services by using health checks and restart policies. You will: Compare the difference between containerization and virtualization Understand the Dockerfile and converting your application to Docker image Define and run multi-container applications with Docker compose Review data persistency with Docker volumes.

ISBN: 9781484278154

Standard No.: 10.1007/978-1-4842-7815-4doiSubjects--Topical Terms:

1113081
Open Source.

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Practical Docker with Python = Build, Release, and Distribute Your Python App with Docker /
LDR:03602nam a22003975i 4500 001 1093396
003 DE-He213
005 20220512131800.0
007 cr nn 008mamaa
008 221228s2022 xxu| s |||| 0|eng d
020 $a 9781484278154 $9 978-1-4842-7815-4
024 7 $a 10.1007/978-1-4842-7815-4 $2 doi
035 $a 978-1-4842-7815-4
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
100 1 $a Bhat, Sathyajith. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1207898
245 1 0 $a Practical Docker with Python $h [electronic resource] : $b Build, Release, and Distribute Your Python App with Docker / $c by Sathyajith Bhat.
250 $a 2nd ed. 2022.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2022.
300 $a XVIII, 239 p. 34 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Chapter 1: Introduction to Containerization & Docker -- Chapter 2: Docker 101 -- mands Chapter 3: Building the Python App -- Chapter 4: Understanding Dockerfile -- Chapter 5: Understanding Docker Volumes -- Chapter 6: Docker Networking -- Chapter 7: Multi Container Applications -- Chapter 8: Preparing for Production Deployments.
520 $a Learn the fundamentals of containerization and get acquainted with Docker. This second edition builds upon the foundation of the first book by revising all the chapters, updating the commands, code, and examples to meet the changes in Docker. It also introduces a new chapter on setting up your application for production deployment and breaks down terminologies like Dockerfile and Docker volumes while taking you on a guided tour of building a telegram bot using Python. You'll start with a brief history of how containerization has changed over the years. Next, we look at how to install (including using the new WSL2 mode) and get started with Docker. The next couple of chapters will focus on understanding the Dockerfile, including the structure and the core instructions used in building a Docker image. You'll also see how to distribute Docker images using Docker hub and other private registries. From there, you'll look at using Docker volumes for persisting data. Then learn how to run multi-container applications with Docker compose and learn inter-container networking works with Docker networks. Finally, you'll look at how to prepare a containerized application for production deployments. Throughout the book you'll apply the techniques learned through the chapters by building a Telegram messenger Chatbot and see how much easier Docker makes it possible to build, release, contribute and distribute an application. In addition, the book shows how optimize the Docker images for production servers by using multi-stage builds and improve the reliability of your services by using health checks and restart policies. You will: Compare the difference between containerization and virtualization Understand the Dockerfile and converting your application to Docker image Define and run multi-container applications with Docker compose Review data persistency with Docker volumes.
650 2 4 $a Open Source. $3 1113081
650 2 4 $a Programming Language. $3 1365750
650 1 4 $a Python. $3 1115944
650 0 $a Cloud Computing. $3 995022
650 0 $a Open source software. $3 561177
650 0 $a Programming languages (Electronic computers). $3 1127615
650 0 $a Python (Computer program language). $3 1127623
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484278147
776 0 8 $i Printed edition: $z 9781484278161
776 0 8 $i Printed edition: $z 9781484285442
856 4 0 $u https://doi.org/10.1007/978-1-4842-7815-4
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)