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001 | 22132427 | ||
003 | IIITD | ||
005 | 20231119020002.0 | ||
008 | 210714s2020 cc a 001 0 eng d | ||
010 | _a 2020277179 | ||
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020 | _a9789352139583 | ||
035 | _a(OCoLC)on1106172827 | ||
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042 | _alccopycat | ||
050 | 0 | 0 |
_aQA76.73.P98 _bG54 2020 |
082 | 0 | 4 |
_a005.133 _223 _bGIF-P |
100 | 1 | _aGift, Noah | |
245 | 1 | 0 |
_aPython for DevOps : _blearn ruthlessly effective automation _cby Noah Gift ... [ et al.] |
260 |
_aNew Delhi : _bShroff Publishers, _c©2021 |
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300 |
_axx, 481 p. : _bill. ; _c24 cm |
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500 | _aIncludes index. | ||
504 | _aIncludes bibliographical references and index. | ||
505 | 0 |
_aPython essentials for DevOps -- Automating files and the Filesystem -- Working with the command line -- Useful Linux utilities -- Package management -- Continuous integration and continuous deployment -- Monitoring and logging -- Pytest for DevOps -- Cloud computing -- Infrastructure as code -- Container technologies : Docker and Docker compose -- Container orchestration : Kubernetes -- Serverless technologies -- MLOps and machine learning engineering -- Data engineering -- DevOps war stories and interviews. _t1. Python Essentials for DevOps _t2. Automating Files and the Filesystem _t3. Working with the Command Line _t4. Useful Linux Utilities _t5. Package Management _t6. Continuous Integration and Continuous Deployment _t7. Monitoring and Logging _t8. Pytest for DevOps _t9. Cloud Computing _t10. Infrastructure as Code _t11. Container Technologies: Docker and Docker Compose _t12. Container Orchestration: Kubernetes _t13. Serverless Technologies _t14. MLOps and Machine learning Engineering _t15. Data Engineering _t16. DevOps War Stories and Interviews |
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520 | _a"Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with today's most useful DevOps tools, including Docker, Kubernetes, and Terraform. Learning how to interact and automate with Linux is essential for millions of professionals. Python makes it much easier. With this book, you'll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. Looking for effective ways to "get stuff done" in Python? This is your guide."-- | ||
650 | 0 | _aPython (Computer program language) | |
650 | 0 | _aObject-oriented programming languages. | |
650 | 0 |
_aComputer software _xDevelopment. |
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650 | 7 |
_aObject-oriented programming languages. _2fast |
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650 | 7 |
_aComputer software _xDevelopment. _2fast |
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650 | 7 |
_aPython (Computer program language) _2fast |
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700 | 1 | _aBehrman, Kennedy | |
700 | 1 | _aDeza, Alfredo | |
700 | 1 | _aGheorghiu, Grig | |
906 |
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