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  • Python for DevOps: Learn Ruthlessly Effective Automation

Python for DevOps: Learn Ruthlessly Effective Automation Paperback – 21 januari 2020

Engelstalige uitgave Noah Gift (auteur), Kennedy Behrman (auteur), Alfredo Deza (auteur)
4,5 van 5 sterren (259)
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Aankoopopties en uitbreidingen

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
Meer lezen
Vorige dia met productgegevens
  1. Printlengte
    506 pagina's
  2. Taal
    Engels
  3. Uitgever
    O′Reilly
  4. Publicatiedatum
    21 januari 2020
  5. Afmetingen
    17.81 x 2.59 x 23.29 cm
  6. ISBN-10
    149205769X
  7. ISBN-13
    978-1492057697
Volgende dia met productgegevens

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Over de auteur

Noah Gift is a lecturer and consultant at UC Davis Graduate School of Management in the MSBA program. Professionally, Noah has approximately 20 years' experience programming in Python and is a member of the Python Software Foundation. He has worked for a variety of companies in roles ranging from CTO, general manager, consulting CTO, and cloud architect. Currently, he is consulting start-ups and other companies on machine learning and cloud architecture and is doing CTO-level consulting via Noah Gift Consulting. He has published close to 100 technical publications including two books on subjects ranging from cloud machine learning to DevOps. He is also a certified AWS Solutions Architect. Noah has an MBA from the University of California, Davis; an MS in computer information systems from California State University, Los Angeles; and a BS in nutritional science from Cal Poly, San Luis Obispo. You can find more about Noah by following him on Github (https: //github.com/noahgift/), visiting http: //noahgift.com, or connecting with him on https: //www.linkedin.com/in/noahgift/.

Kennedy Behrman is a veteran consultant specializing in architecting and implementing cloud solutions for early-stage startups. He has both undergraduate and graduate degrees from the University of Pennsylvania, including an MS in Computer Information Technology and post-graduate work in the Computer Graphics and Game Programming program.

He is experienced in data engineering, data science, AWS solutions, and engineering management, and has acted as a technical editor on a number of python and data science-related publications. As a Data Scientist, he helped develop a proprietary growth hacking machine learning algorithm for a startup that led to the exponential growth of the platform. Afterward, he then hired and managed a Data Science team that supported this technology. Additional to that experience, he has been active in the Python language for close to 15 years including giving talks at user groups, writing articles, and serving as technical editor to many publications.

Alfredo Deza is a passionate software engineer, avid open source developer, Vim plugin author, photographer, and former Olympic athlete. He has given several lectures around the world about Open Source Software, personal development, and professional sports. He has rebuilt company infrastructure, designed shared storage, and replaced complex build systems, always in search of efficient and resilient environments. With a strong belief in testing and documentation, he continues to drive robust development practices wherever he is.

As a passionate knowledge-craving developer Alfredo can be found giving presentations in local groups about Python, file systems and storage, system administration, and professional sports.

Grig Gheorghiu has worked for the last 13 years as a programmer, research lab manager, system/network/security architect, and most recently as a software test engineer. Grig is the founder of the Southern California Python Interest Group, as well as a member of the Agile Alliance and of the xpsocal user group. He holds an MS degree in Computer Science from USC. Grig blogs fairly regularly on agile testing topics at agiletesting.blogspot.com.

Productgegevens

  • Uitgever ‏ : ‎ O′Reilly
  • Publicatiedatum ‏ : ‎ 21 januari 2020
  • Taal ‏ : ‎ Engels
  • Printlengte ‏ : ‎ 506 pagina's
  • ISBN-10 ‏ : ‎ 149205769X
  • ISBN-13 ‏ : ‎ 978-1492057697
  • Gewicht van item ‏ : ‎ 1,05 Kilograms
  • Afmetingen ‏ : ‎ 17.81 x 2.59 x 23.29 cm
  • Plaats in bestsellerlijst: #216.029 in Boeken (Top 100 in Boeken bekijken)
  • Klantenrecensies:
    4,5 van 5 sterren (259)

Klantenrecensies

4,5 van 5 sterren
259 wereldwijde beoordelingen

Beste recensie uit Nederland

  • Vitali
    3,0 van 5 sterren Covers too many subjects and only the surface.
    Beoordeeld in Nederland op 25 juni 2020
    Formaat: Paperback
    Covers too many subjects and only the surface.
    Expected more in depth material.
    Nuttig
     Melden

Beste recensies uit andere landen

Vertaal alle beoordelingen naar het Nederlands
  • Gerardo Palazuelos Guerrero
    5,0 van 5 sterren Es un libro que merece más de una leída
    Beoordeeld in Mexico op 13 januari 2021
    Formaat: PaperbackGeverifieerde aankoop
    No es fácil de leer porque me falta conocimiento de varias cosas que muestra.
    Sin embargo, el libro explica muy bien los temas.
    Al leer varias veces los capítulos, las cosas resultan más claras.
    Melden
  • yawanki
    3,0 van 5 sterren Non existing sites
    Beoordeeld in het Verenigd Koninkrijk op 4 februari 2023
    Formaat: PaperbackGeverifieerde aankoop
    Most sites in the book meant for reference or continued learning are not working or are not in existence
    Melden
  • Josele
    5,0 van 5 sterren Opinion after first 2 weeks
    Beoordeeld in Spanje op 28 april 2021
    Formaat: Kindle-editieGeverifieerde aankoop
    Very good document for develop with the language in DevOps environment, but you should have a certain previous level of Python.
    Melden
  • Kostadin
    5,0 van 5 sterren Great introduction with examples to DevOps concepts and tools
    Beoordeeld in de Verenigde Staten op 12 maart 2023
    Formaat: Kindle-editieGeverifieerde aankoop
    The book is easy to read and has an excellent mix of DevOps concepts and tools and the Python language.
    I found it a really good resource
    Melden
  • Stefano Valente
    2,0 van 5 sterren Disappointing
    Beoordeeld in Duitsland op 13 januari 2022
    Formaat: PaperbackGeverifieerde aankoop
    As the title suggests, I decided to purchase the book to get some practical insight about how to automate tasks with Python, having had some previous exposure. I was disappointed to discover that many topics are covered in a shallow way.

    It is mostly a mish-mash of different concepts.

    The first chapters mostly address introductory topics like data types (e.g. lists tuples dictionaries ) plus functions for handling data (e.g. open, with/open/as functions and so on) which can be found in other books as well. Besides, always for data processing, for a basic usage of Pandas and dataframes, it's better to check somewhere else.

    For the chapter on Linux, I use mostly Ubuntu & Arch, and for a basic introduction to the shell, it's way better to use Richard Blum's Linux Command Line & Shell Scripting Bible.

    As for ML OPs, it's way better to check Geron's Hands-on-ML textbook (and other advanced textbooks on the same topics)

    The section on Container Technologies(Docker) and Orchestration (Kubernetes) doesn't add a lot more than you can already find elsewhere. Nigel Poulton's Docker can be a starting point

    Finally, I'm not an expert on Serverless Technologies & AWS Lambdas, and there seems to be some value in reading Chapter 13 . Still, the big picture is not entirely clear for me. I believe it would be better to integrate it with other sources, or to look directly for other specific references on this topic as well

    In short: I wouldn't spend time reading it
    Melden
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