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Python for DevOps : learn ruthlessly effective automation /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media,
[2019]
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Gift, Noah, |e author. | |
| 245 | 1 | 0 | |a Python for DevOps : |b learn ruthlessly effective automation / |c Noah Gift, Kennedy Behrman, Alfredo Deza, and Grig Gheorghiu. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastopol, CA : |b O'Reilly Media, |c [2019] | |
| 264 | 4 | |c Ã2020 | |
| 300 | |a 1 online resource (xx, 484 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on January 22, 2020). | |
| 505 | 0 | |a Intro; Copyright; Table of Contents; Preface; What Does DevOps Mean to the Authors?; How to Use This Book; Conceptual Topics; Conventions Used in This Book; Using Code Examples; O'Reilly Online Learning; How to Contact Us; Acknowledgments; Noah; Kennedy; Alfredo; Grig; Chapter 1. Python Essentials for DevOps; Installing and Running Python; The Python Shell; Jupyter Notebooks; Procedural Programming; Variables; Basic Math; Comments; Built-in Functions; Print; Range; Execution Control; if/elif/else; for Loops; while Loops; Handling Exceptions; Built-in Objects; What Is an Object? | |
| 505 | 8 | |a Object Methods and AttributesSequences; Functions; Anatomy of a Function; Functions as Objects; Anonymous Functions; Using Regular Expressions; Searching; Character Sets; Character Classes; Groups; Named Groups; Find All; Find Iterator; Substitution; Compiling; Lazy Evaluation; Generators; Generator Comprehensions; More IPython Features; Using IPython to Run Unix Shell Commands; Exercises; Chapter 2. Automating Files and the Filesystem; Reading and Writing Files; Using Regular Expressions to Search Text; Dealing with Large Files; Encrypting Text; Hashing with Hashlib | |
| 505 | 8 | |a Encryption with CryptographyThe os Module; Managing Files and Directories Using os.path; Walking Directory Trees Using os.walk; Paths as Objects with Pathlib; Chapter 3. Working with the Command Line; Working with the Shell; Talking to the Interpreter with the sys Module; Dealing with the Operating System Using the os Module; Spawn Processes with the subprocess Module; Creating Command-Line Tools; Using sys.argv; Using argparse; Using click; fire; Implementing Plug-ins; Case Study: Turbocharging Python with Command-Line Tools; Using the Numba Just-in-Time (JIT) Compiler | |
| 505 | 8 | |a Using the GPU with CUDA PythonRunning True Multicore Multithreaded Python Using Numba; KMeans Clustering; Exercises; Chapter 4. Useful Linux Utilities; Disk Utilities; Measuring Performance; Partitions; Retrieving Specific Device Information; Network Utilities; SSH Tunneling; Benchmarking HTTP with Apache Benchmark (ab); Load Testing with molotov; CPU Utilities; Viewing Processes with htop; Working with Bash and ZSH; Customizing the Python Shell; Recursive Globbing; Searching and Replacing with Confirmation Prompts; Removing Temporary Python Files; Listing and Filtering Processes | |
| 505 | 8 | |a Unix TimestampMixing Python with Bash and ZSH; Random Password Generator; Does My Module Exist?; Changing Directories to a Module's Path; Converting a CSV File to JSON; Python One-Liners; Debuggers; How Fast Is this Snippet?; strace; Exercises; Case Study Question; Chapter 5. Package Management; Why Is Packaging Important?; When Packaging Might Not Be Needed; Packaging Guidelines; Descriptive Versioning; The changelog; Choosing a Strategy; Packaging Solutions; Native Python Packaging; Debian Packaging; RPM Packaging; Management with systemd; Long-Running Processes; Setting It Up | |
| 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." Python foundations, including a brief introduction to the language" How to automate text, write command-line tools, and automate the filesystem" Linux utilities, package management, build systems, monitoring and instrumentation, and automated testing" Cloud computing, infrastructure as code, Kubernetes, and serverless" Machine learning operations and data engineering from a DevOps perspective" Building, deploying, and operationalizing a machine learning project | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Computer software |x Development. | |
| 650 | 0 | |a Business |x Data processing. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Gestion |x Informatique. | |
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| 650 | 7 | |a Computer software |x Development. |2 fast |0 (OCoLC)fst00872537 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 653 | |a Python | ||
| 653 | |a Computer programming. | ||
| 700 | 1 | |a Behrman, Kennedy, |e author. | |
| 700 | 1 | |a Deza, Alfredo, |e author. | |
| 700 | 1 | |a Gheorghiu, Grig, |e author. | |
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