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001447962 003__ OCoLC
001447962 005__ 20230310004215.0
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001447962 019__ $$a1334101731$$a1346260300
001447962 020__ $$a9781484279960$$q(electronic bk.)
001447962 020__ $$a1484279964$$q(electronic bk.)
001447962 020__ $$z9781484279953
001447962 020__ $$z1484279956
001447962 0247_ $$a10.1007/978-1-4842-7996-0$$2doi
001447962 035__ $$aSP(OCoLC)1334597069
001447962 040__ $$aORMDA$$beng$$erda$$epn$$cORMDA$$dEBLCP$$dYDX$$dGW5XE$$dOCLCF$$dN$T$$dOCLCQ
001447962 049__ $$aISEA
001447962 050_4 $$aQA76.73.P98
001447962 08204 $$a005.13/3$$223/eng/20220706
001447962 1001_ $$aZadka, Moshe,$$eauthor.
001447962 24510 $$aDevOps in Python :$$binfrastructure as Python /$$cMoshe Zadka.
001447962 250__ $$a2nd ed.
001447962 264_1 $$aNew York, NY :$$bApress,$$c[2022]
001447962 300__ $$a1 online resource (245 pages)
001447962 336__ $$atext$$btxt$$2rdacontent
001447962 337__ $$acomputer$$bc$$2rdamedia
001447962 338__ $$aonline resource$$bcr$$2rdacarrier
001447962 500__ $$aIncludes index.
001447962 5050_ $$aChapter 1: Installing Python -- Chapter 2: Packaging -- Chapter 3: Interactive usage -- Chapter 4: OS Automation -- Chapter 5: Testing -- Chapter 6: Text manipulation -- Chapter 7: Requests -> httpx -- Chapter 8: Cryptography -- Chapter 9: Paramiko -- Chapter 10: Salt Stack -- Chapter 11: Ansible -- Chapter 12: Containers -- Chapter 13: AWS -- Chapter 14: Kubernetes -- Chapter 15: Terraform.
001447962 506__ $$aAccess limited to authorized users.
001447962 520__ $$aTake advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system administration into easy-to-learn coding. You'll start by writing command-line scripts and automating simple DevOps-style tasks followed by creating reliable and fast unit tests designed to avoid incidents caused by buggy automation. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel and writing Ansible and Salt extensions. The updated information in this book covers best practices for deploying and updating Python applications. This includes Docker, modern Python packaging, and internal Python package repositories. You'll also see how to use the AWS API, and the Kubernetes API, and how to automate Docker container image building and running. Finally, you'll work with Terraform from Python to allow more flexible templating and customization of environments.
001447962 650_0 $$aComputer software$$xDevelopment$$xManagement.
001447962 650_0 $$aPython (Computer program language)
001447962 650_0 $$aSoftware support$$xManagement.
001447962 655_0 $$aElectronic books.
001447962 77608 $$iPrint version: $$z1484279956$$z9781484279953$$w(OCoLC)1288660549
001447962 852__ $$bebk
001447962 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-7996-0$$zOnline Access$$91397441.1
001447962 909CO $$ooai:library.usi.edu:1447962$$pGLOBAL_SET
001447962 980__ $$aBIB
001447962 980__ $$aEBOOK
001447962 982__ $$aEbook
001447962 983__ $$aOnline
001447962 994__ $$a92$$bISE