Python Pr Tico Para Devops
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Devops In Python
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Author : Moshe Zadka
language : en
Publisher: Apress
Release Date : 2019-06-04
Devops In Python written by Moshe Zadka and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-04 with Computers categories.
Explore and apply best practices for efficient application deployment. This book draws upon author Moshe Zadka's years of Dev Ops experience and focuses on the parts of Python, and the Python ecosystem, that are relevant for DevOps engineers. You'll start by writing command-line scripts and automating simple DevOps-style tasks. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel, and writing Ansible and Salt extensions. This work also covers how to use the AWS API to manage cloud infrastructure, and how to manage Python programs and environments on remote machines. Python was invented as a systems management language for distributed operating systems, which makes it an ideal tool for DevOps. Assuming a basic understanding of Python concepts, this book is perfect for engineers who want to move from operations/system administration into coding. What You'll Learn Use third party packages and create new packages Create operating system management and automation code in Python Write testable code, and testing best practices Work with REST APIs for web clients Who This Book Is For Junior or intermediate sysadmin who has picked up some bash and Python basics.
Hands On Python For Devops
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Author : Ankur Roy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-15
Hands On Python For Devops written by Ankur Roy and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-15 with Computers categories.
Unleash DevOps excellence with Python and its ecosystem of tools for seamless orchestration on both local and cloud platforms, such as GCP, AWS, and Azure Key Features Integrate Python into DevOps for streamlined workflows, task automation, and improved collaboration Combine the principles of Python and DevOps into a unified approach for problem solving Learn about Python’s role in Infrastructure as Code (IaC), MLOps, networking, and other domains Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPython stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples. You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you’ll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python’s role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python’s integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more. By the end of this book, you’ll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.What you will learn Implement DevOps practices and principles using Python Enhance your DevOps workloads with Python Create Python-based DevOps solutions to improve your workload efficiency Understand DevOps objectives and the mindset needed to achieve them Use Python to automate DevOps tasks and increase productivity Explore the concepts of DevSecOps, MLOps, DataOps, and more Use Python for containerized workloads in Docker and Kubernetes Who this book is for This book is for IT professionals venturing into DevOps, particularly programmers seeking to apply their existing programming knowledge to excel in this field. For DevOps professionals without a coding background, this book serves as a resource to enhance their understanding of development practices and communicate more effectively with developers. Solutions architects, programmers, and anyone regularly working with DevOps solutions and Python will also benefit from this hands-on guide.
Python For Devops
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Author : Noah Gift
language : en
Publisher:
Release Date : 2019
Python For Devops written by Noah Gift and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Business categories.
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 all these transformations, Python has become one of the most popular languages in the world. This practical guide 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 an essential skill 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. If you're looking for effective ways to "get stuff done" in Python, this is your guide. Automate several tasks using Python Work more efficiently by using a smaller subset of the language Use continuous integration systems to increase software quality Mix shell and Python commands to solve problems.
Python For Devops
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Author : Boozman Richard
language : en
Publisher: Independently Published
Release Date : 2025-07-07
Python For Devops written by Boozman Richard and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-07 with Computers categories.
Automate. Scale. Simplify your workflow with Python. Python for DevOps is a practical guide for engineers and administrators who want to harness Python's power to automate everyday cloud and system tasks. Whether you're managing servers, deploying containers, configuring infrastructure, or integrating CI/CD pipelines, this book shows you how to make Python your go-to tool for modern DevOps tasks. Built for hands-on learners, this guide walks you through real-world scripts and tools used by today's DevOps teams. No long theory-just clear explanations, ready-to-use examples, and best practices that help you save time and avoid human error. You'll learn how to: Automate repetitive shell tasks with Python scripts Interact with cloud services like AWS, Azure, and Google Cloud Manage containers using Python and Docker APIs Use Python for server provisioning with Ansible and Terraform Create and monitor CI/CD pipelines with Python and GitHub Actions Parse logs, monitor uptime, and trigger alerts Handle SSH, APIs, and configuration files cleanly and efficiently Each chapter includes scripts you can adapt to your environment-whether you're working on Linux, MacOS, or managing infrastructure at scale. You'll also get guidance on structuring projects, handling secrets, and writing clean automation code for long-term use. If you're a DevOps engineer, sysadmin, cloud specialist, or developer who wants to automate smarter and scale faster, Python for DevOps is your guide to working better-not harder.
Python Programming
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Author : Frank Millstein
language : en
Publisher: Frank Millstein
Release Date : 2020-09-07
Python Programming written by Frank Millstein and has been published by Frank Millstein this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-07 with Computers categories.
Programming With Python - 8 BOOK BUNDLE!! Deep Learning With Keras Here Is A Preview Of What You’ll Learn Here… The difference between deep learning and machine learning Deep neural networks Convolutional neural networks Building deep learning models with Keras Multi-layer perceptron network models And much more... Convolutional Neural Networks In Python Here Is A Preview Of What You’ll Learn Here… Convolutional neural networks structure How convolutional neural networks actually work Convolutional neural networks applications The importance of convolution operator How to build a simple image classification CNN And much, much more! Python Machine Learning Here Is A Preview Of What You’ll Learn Here… Basics behind machine learning techniques Most commonly used machine learning algorithms, linear and logistic regression, decision trees support vector machines, k-nearest neighbors, random forests Solving multi-clasisfication problems Data visualization with Matplotlib and data transformation with Pandas and Scikit-learn Solving multi-label classification problems And much, much more... Machine Learning With TensorFlow Here Is A Preview Of What You’ll Learn Here… What is machine learning Main uses and benefits of machine learning How to get started with TensorFlow, installing and loading data Data flow graphs and basic TensorFlow expressions Creating MNIST classifiers with one-hot transformation And much, much more... Data Analytics With Python Here Is A Preview Of What You’ll Learn Here… What is Data Analytics? Difference between data science, big data and data analytics Installing python Python data structures Pandas series and data frames And much, much more... Natural Language Processing With Python Here Is A Preview Of What You’ll Learn Here… Challenges of natural language processing How natural language processing works? Part of speech tagging N-grams Running natural language processing script And much, much more... DevOps Handbook Here Is A Preview Of What You’ll Learn Here… Issues and mistakes plaguing software development What is software development life cycle? How software development life cycle works? The origins of devops Testing and building systems tools And much, much more... DevOps Adoption Here Is A Preview Of What You’ll Learn Here… Devops definition Overcoming traditional dev and ops Devops and security integration Devops success factors Is devops right for you? And much, much more... Get this book bundle NOW and SAVE money!
Python For Devops
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Author : Varghese Chacko
language : en
Publisher: BPB Publications
Release Date : 2025-03-24
Python For Devops written by Varghese Chacko and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-24 with Computers categories.
DESCRIPTION Python has emerged as a powerhouse for DevOps, enabling efficient automation across various stages of software development and deployment. This book bridges the gap between Python programming and DevOps practices, providing a practical guide for automating infrastructure, workflows, and processes, empowering you to streamline your development lifecycle. This book begins with foundational Python concepts and their application in Linux system administration and data handling. Progressing through command line tool development using argparse and Click, package management with pip, Pipenv, and Docker, you will explore automating cloud infrastructure with AWS, GCP, Azure, and Kubernetes. The book covers configuration management with Ansible, Chef, and Puppet, and CI/CD pipelines using Jenkins, GitLab, and GitHub. You will also learn monitoring with Prometheus, Grafana, and OpenTelemetry, MLOps with Kubeflow and MLflow, serverless architecture using AWS Lambda, Azure Functions and Google Cloud Functions, and security automation with DevSecOps practices. The real-world project in this book will ensure the practical application of your learning. By mastering the techniques within this guide, you will gain the expertise to automate complex DevOps workflows with Python, enhancing your productivity and ensuring robust and scalable deployments, making you a highly competent DevOps professional. WHAT YOU WILL LEARN ● Automate DevOps tasks using Python for efficiency and scalability. ● Implement infrastructure as code (IaC) with Python, Terraform, and Ansible. ● Orchestrate containers with Python, Docker, Kubernetes, and Helm charts. ● Manage cloud infrastructure on AWS, Azure, and GCP using Python. ● Enhance security, monitoring, and compliance with Python automation tools. ● Monitor with Prometheus/Grafana/OpenTelemetry, implement MLOps using Kubeflow/MLflow, and deploy serverless architecture. ● Apply real-world project skills, and integrate diverse DevOps automations using Python. ● Ensure robust code quality, apply design patterns, secure secrets, and scale script optimization. WHO THIS BOOK IS FOR This book is for DevOps engineers, system administrators, software developers, students, and IT professionals seeking to automate infrastructure, deployments, and cloud management using Python. Familiarity with Python, Linux commands, and DevOps concepts is beneficial, but the book is designed to provide guidance to all. TABLE OF CONTENTS 1. Introduction to Python and DevOps 2. Python for Linux System Administration 3. Automating Text and Data with Python 4. Building and Automating Command-line Tools 5. Package Management and Environment Isolation 6. Automating System Administration Tasks 7. Networking and Cloud Automation 8. Container Orchestration with Kubernetes 9. Configuration Management Automation 10. Continuous Integration and Continuous Deployment 11. Monitoring, Instrumentation, and Logging 12. Implementing MLOps 13. Serverless Architecture with Python 14. Security Automation and Compliance 15. Best Practices and Patterns in Automating with Python 16. Deploying a Blog in Microservices Architecture
Python In Devops
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Author : Rafael Sanders
language : en
Publisher: Independently Published
Release Date : 2025-06-19
Python In Devops written by Rafael Sanders and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Computers categories.
⚙️ Supercharge Your DevOps Workflow with Python - From Infrastructure to Deployment. In modern DevOps, automation isn't optional - it's survival. Python in DevOps is your complete guide to using Python as a powerful automation engine across infrastructure management, CI/CD pipelines, cloud provisioning, and monitoring. Whether you're a DevOps engineer, SRE, or developer-turned-ops, this book equips you with practical Python scripts and architectural guidance to automate, orchestrate, and scale your operations with confidence.
Mastering Python Networking
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Author : Eric Chou
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-30
Mastering Python Networking written by Eric Chou and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-30 with Computers categories.
New edition of the bestselling guide to mastering Python Networking, updated to Python 3 and including the latest on network data analysis, Cloud Networking, Ansible 2.8, and new libraries Key FeaturesExplore the power of Python libraries to tackle difficult network problems efficiently and effectively, including pyATS, Nornir, and Ansible 2.8Use Python and Ansible for DevOps, network device automation, DevOps, and software-defined networkingBecome an expert in implementing advanced network-related tasks with Python 3Book Description Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In Mastering Python Networking, Third edition, you'll embark on a Python-based journey to transition from traditional network engineers to network developers ready for the next-generation of networks. This new edition is completely revised and updated to work with Python 3. In addition to new chapters on network data analysis with ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking, it includes updates on using newer libraries such as pyATS and Nornir, as well as Ansible 2.8. Each chapter is updated with the latest libraries with working examples to ensure compatibility and understanding of the concepts. Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security followed by Azure and AWS Cloud networking. Finally, you will use Jenkins for continuous integration as well as testing tools to verify your network. What you will learnUse Python libraries to interact with your networkIntegrate Ansible 2.8 using Python to control Cisco, Juniper, and Arista network devicesLeverage existing Flask web frameworks to construct high-level APIsLearn how to build virtual networks in the AWS & Azure CloudLearn how to use Elastic Stack for network data analysisUnderstand how Jenkins can be used to automatically deploy changes in your networkUse PyTest and Unittest for Test-Driven Network Development in networking engineering with PythonWho this book is for Mastering Python Networking, Third edition is for network engineers, developers, and SREs who want to use Python for network automation, programmability, and data analysis. Basic familiarity with Python programming and networking-related concepts such as Transmission Control Protocol/Internet Protocol (TCP/IP) will be useful.
Python Continuous Integration And Delivery
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Author : Moritz Lenz
language : en
Publisher: Apress
Release Date : 2018-12-28
Python Continuous Integration And Delivery written by Moritz Lenz and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-28 with Computers categories.
Gain the techniques and tools that enable a smooth and efficient software development process in this quick and practical guide on Python continuous integration (CI) and continuous delivery (CD). Based on example applications, this book introduces various kinds of testing and shows you how to set up automated systems that run these tests, and install applications in different environments in controlled ways. Python Continuous Integration and Delivery tackles the technical problems related to software development that are typically glossed over in pure programming texts. After reading this book, you’ll see that in today's fast-moving world, no software project can afford to go through development, then an integration phase of unpredictable length and complexity, and finally be shipped to the customer -- just to find out that the resulting application didn't quite fill their need. Instead, you’ll discover that practicing continuous integration and continuous delivery reduces the risks by keeping changes small and automating otherwise painful processes. What You Will Learn Carry out various kinds of testing, including unit testing and continuous integration testing, of your Python code using Jenkins Build packages and manage repositories Incorporate Ansible and Go for automated packaging and other deployments Manage more complex and robust deployments Who This Book Is For Python programmers and operating staff that work with Python applications.
Python For Devops
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Author : Zareen Khan
language : en
Publisher: Independently Published
Release Date : 2024-12-02
Python For Devops written by Zareen Khan and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Computers categories.
Python for Devops: Automate, Manage and Scale is an essential guide for leveraging Python to streamline and optimize DevOps workflows. This book covers a comprehensive range of topics, from foundational Python concepts to advanced techniques, enabling readers to automate system configuration, cloud management, CI/CD pipelines, and more. With a practical focus, it teaches how to interact with cloud APIs, manage containers, integrate with monitoring tools, and ensure security and compliance. By exploring real-world use cases and hands-on examples, readers gain the knowledge and confidence to handle the demands of modern DevOps environments efficiently. The book also emphasizes best practices for writing maintainable, reusable, and scalable Python code. With insights into advanced topics like REST API development, concurrency, and ChatOps, it prepares readers to tackle evolving DevOps challenges. Whether automating infrastructure as code or enhancing monitoring and logging capabilities, this guide equips DevOps engineers with the skills to drive innovation and achieve operational excellence.