Practical Python Devops Automation
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Practical Python Devops Automation
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Author : Avis Gabe Gabe
language : en
Publisher: Independently Published
Release Date : 2025-08-04
Practical Python Devops Automation written by Avis Gabe Gabe and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-04 with Computers categories.
Practical Python DevOps Automation: Deploy, Orchestrate, and Monitor Cloud Environments and Pipelines with Code-First Solutions Harness the power of Python to transform your DevOps workflow from reactive to proactive. Are you tired of manual tasks that eat up your time and introduce human error? Does the promise of continuous integration and delivery feel out of reach? Practical Python DevOps Automation provides the definitive playbook for leveraging Python to build robust, code-first solutions. This book equips you with the strategies to automate every phase of your DevOps pipeline, from provisioning cloud infrastructure to orchestrating deployments and monitoring production environments. You will learn to use Python to create repeatable, scalable, and reliable systems that free your team from tedious, repetitive work. Inside, you will gain the expertise to: Design and manage cloud environments with Infrastructure as Code (IaC) using Python-based tools. Build sophisticated CI/CD pipelines that automate testing, building, and deployment processes. Implement effective monitoring and logging strategies to ensure the health and performance of your applications. Write reusable and maintainable Python scripts that integrate seamlessly with your existing toolchain. Automate compliance and security checks to build a secure-by-design operational model. Orchestrate complex containerized applications using Python to manage Docker and Kubernetes. Elevate your career by mastering the skills that define modern DevOps. Purchase your copy today and begin building the automated future you've always envisioned.
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.
Python Automation For Devops
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Author : Warwick Smit
language : en
Publisher: Independently Published
Release Date : 2025-11-21
Python Automation For Devops written by Warwick Smit and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-21 with Computers categories.
Python Automation for DevOps is the ultimate practical guide for anyone ready to master real-world automation using Python. It shows you how to connect code, cloud, and CI/CD into one seamless workflow that saves time, reduces human error, and improves reliability. Every chapter walks you through working Python scripts that automate tasks such as building containers, deploying applications, managing infrastructure, and monitoring system health. You will learn how to automate your DevOps workflow from end to end writing Python scripts to build Docker images, orchestrate pipelines, manage infrastructure with Terraform, and secure deployments with DevSecOps tools. Each concept is explained step by step with clear examples, making it easy to follow even if you are a complete beginner. By the time you finish, you will have a working DevOps automation pipeline that integrates everything you have learned into a single, efficient system. This book blends clarity with real-world practicality. Instead of abstract theory, it gives you repeatable scripts, best practices, and solid reasoning for why things work. It is perfect for developers, IT professionals, and learners who want to master automation through real projects rather than dry explanations. Warwick Smit, a DevOps automation instructor and systems engineer, delivers complex topics in a simple, actionable way. His experience helping teams build scalable, secure infrastructure comes through in every chapter, ensuring that readers not only understand automation but can confidently implement it in their own environments. Whether you want to build modern pipelines, optimize workflows, or gain the skills to become a full DevOps engineer, this book will guide you every step of the way. Why Readers Love This Book - Clear, actionable instructions with complete working Python examples - Teaches automation through real DevOps tools: Docker, Terraform, FastAPI, GitHub Actions, and more - Includes a full CI/CD project pipeline with security and observability integration - Written for true beginners yet detailed enough for professionals who want practical skills - Designed to help you think like a modern DevOps engineer
Practical Mlops
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Author : Noah Gift
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-09-14
Practical Mlops written by Noah Gift and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Computers categories.
Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models. Current and aspiring machine learning engineers--or anyone familiar with data science and Python--will build a foundation in MLOps tools and methods (along with AutoML and monitoring and logging), then learn how to implement them in AWS, Microsoft Azure, and Google Cloud. The faster you deliver a machine learning system that works, the faster you can focus on the business problems you're trying to crack. This book gives you a head start. You'll discover how to: Apply DevOps best practices to machine learning Build production machine learning systems and maintain them Monitor, instrument, load-test, and operationalize machine learning systems Choose the correct MLOps tools for a given machine learning task Run machine learning models on a variety of platforms and devices, including mobile phones and specialized hardware
Security Automation With Python
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Author : Corey Charles Sr.
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-02-07
Security Automation With Python written by Corey Charles Sr. 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 2025-02-07 with Computers categories.
Automate vulnerability scanning, network monitoring, and web application security using Python scripts, while exploring real-world case studies and emerging trends like AI and ML in security automation Key Features Gain future-focused insights into using machine learning and AI for automating threat detection and response Get a thorough understanding of Python essentials, tailored for security professionals Discover real-world applications of Python automation for enhanced security Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDesigned to address the most common pain point for security teams—scalability—Security Automation with Python leverages the author’s years of experience in vulnerability management to provide you with actionable guidance on automating security workflows to streamline your operations and improve your organization’s overall security posture. What makes this book stand out is its hands-on approach. You won’t just learn theoretical concepts—you’ll apply Python-based automation techniques directly to real-world scenarios. Whether you're automating vulnerability scans, managing firewall rules, or responding to security incidents, this book provides clear examples and use cases, breaking down complex topics into easily digestible steps. With libraries like Paramiko, Requests, and PyAutoGUI, you’ll automate everything from network scanning and threat intelligence gathering to system patching and alert management. Plus, this book focuses heavily on practical tips for error handling, scaling automation workflows, and integrating Python scripts into larger security infrastructures. By the end of this book, you'll have developed a set of highly valuable skills, from creating custom automation scripts to deploying them in production environments, and completed projects that can be immediately put to use in your organization.What you will learn Use Python libraries to automate vulnerability scans and generate detailed reports Integrate Python with security tools like Nessus to streamline SecOps Write custom Python scripts to perform security-related tasks Automate patch management to reduce the risk of security breaches Enhance threat intelligence gathering and improve your proactive defense strategies Scale security automation workflows for large environments Implement best practices for error handling, logging, and optimizing workflows Incorporate automation into security frameworks like NIST 800-53 and FedRAMP Who this book is for This book is for cybersecurity professionals, security analysts, system administrators, and developers looking to leverage Python to automate and enhance their security operations. Whether you're new to Python or experienced in scripting, the book provides practical examples, real-world case studies, and future-focused insights into security automation trends.
Python Devops Automation For Cloud With Kubernetes And Aws
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Author : Willie Sanner
language : en
Publisher: Independently Published
Release Date : 2025-09-04
Python Devops Automation For Cloud With Kubernetes And Aws written by Willie Sanner and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-04 with Computers categories.
Python DevOps Automation for Cloud with Kubernetes and AWS: Master Scaling, CI/CD Pipelines, and Cost Optimization with Practical Scripts. Struggling to keep pace with the relentless demands of modern cloud infrastructure? If you're ready to move beyond manual fixes and build truly resilient, scalable, and cost-effective systems, then this is the guide you've been waiting for. Python DevOps Automation for Cloud with Kubernetes and AWS is the definitive blueprint for transforming your workflow. This book delivers a practical, script-based approach to conquering the complexities of cloud automation. Forget trial-and-error; you'll gain immediate access to proven strategies for building, deploying, and managing high-performance systems on AWS and Kubernetes using the power and simplicity of Python. Inside, you will master how to: Construct sophisticated, self-healing CI/CD pipelines that deliver applications with speed and reliability. Implement advanced scaling and multi-region failover strategies to ensure your services are always available. Integrate practical security and compliance, from IAM audits to automated vulnerability scanning. Drive down costs by applying intelligent automation to your cloud resource management. Greatly enhance developer productivity by creating reusable modules and powerful command-line tools. This book provides the essential toolkit for any engineer serious about excelling in the world of cloud and DevOps. You'll get more than just theory; you'll receive a collection of practical, production-ready scripts and patterns that you can apply immediately. Stop fighting fires and start engineering solutions that last. Add this essential guide to your library and begin your mastery of Python DevOps automation today.
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.
Machine Learning
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Author : Satheesh Prabhu Gurusamy , Anil Kumar Veeramachaneni
language : en
Publisher: RK Publication
Release Date : 2025-06-14
Machine Learning written by Satheesh Prabhu Gurusamy , Anil Kumar Veeramachaneni and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-14 with Computers categories.
This book offers a comprehensive introduction to Machine Learning, covering essential algorithms, data preprocessing, model evaluation, and real-world applications. It bridges theoretical concepts with practical implementations, making it ideal for students, researchers, and professionals aiming to harness the power of intelligent systems in diverse fields.
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.