Practical Docker With Python
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Practical Docker With Python
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Author : Sathyajith Bhat
language : en
Publisher:
Release Date : 2022
Practical Docker With Python written by Sathyajith Bhat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Learn the fundamentals of containerization and get acquainted with Docker. This second edition builds upon the foundation of the first book by revising all the chapters, updating the commands, code, and examples to meet the changes in Docker. It also introduces a new chapter on setting up your application for production deployment and breaks down terminologies like Dockerfile and Docker volumes while taking you on a guided tour of building a telegram bot using Python. You'll start with a brief history of how containerization has changed over the years. Next, we look at how to install (including using the new WSL2 mode) and get started with Docker. The next couple of chapters will focus on understanding the Dockerfile, including the structure and the core instructions used in building a Docker image. You'll also see how to distribute Docker images using Docker hub and other private registries. From there, you'll look at using Docker volumes for persisting data. Then learn how to run multi-container applications with Docker compose and learn inter-container networking works with Docker networks. Finally, you'll look at how to prepare a containerized application for production deployments. Throughout the book you'll apply the techniques learned through the chapters by building a Telegram messenger Chatbot and see how much easier Docker makes it possible to build, release, contribute and distribute an application. In addition, the book shows how optimize the Docker images for production servers by using multi-stage builds and improve the reliability of your services by using health checks and restart policies. You will: Compare the difference between containerization and virtualization Understand the Dockerfile and converting your application to Docker image Define and run multi-container applications with Docker compose Review data persistency with Docker volumes.
Dockerizing Python For Production
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Author : Paul Orlander
language : en
Publisher: Independently Published
Release Date : 2025-12
Dockerizing Python For Production written by Paul Orlander and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12 with Computers categories.
What if you could transform any Python application into a fast, portable, production-ready service, without fighting deployment issues, environment inconsistencies, or fragile servers ever again? This book shows you how. Dockerizing Python for Production is a practical, engineer-focused guide that walks you through the modern way software is built, shipped, and automated. It cuts through the noise and gives you a clear, actionable path to containerizing Python applications and deploying them with confidence. Whether you're building APIs, machine learning pipelines, microservices, or enterprise-grade systems, this book shows you exactly how to package, automate, and deliver your work with professional reliability. Inside, you'll learn how to build production-ready Docker images, automate pipelines with GitHub Actions, GitLab CI, and Azure DevOps, orchestrate deployments across AWS, GCP, and Kubernetes, and apply real DevOps workflows used by top engineering teams. You'll see how to eliminate configuration drift, speed up delivery cycles, fix environment issues at the root, and create predictable builds that behave the same on every machine-every time. You'll also gain a deeper understanding of why leading companies rely on containerization, how CI/CD transforms engineering performance, and what it takes to deploy resilient, scalable, and secure Python systems in real production environments. Beyond theory, the book is packed with hands-on examples, step-by-step walkthroughs, and practical techniques you can apply immediately. What makes this book different? It doesn't recycle generic explanations or surface-level tutorials. It teaches Docker, containers, and CI/CD through the lens of real engineering challenges. Every concept is aligned with how modern teams build software today, combining clarity, practicality, and production-focused insights you won't find in typical online guides. If you're ready to upgrade your engineering skills, modernize your workflow, and ship software at a level that stands out, this is your guide. Take the first step toward becoming the Python developer who delivers faster, deploys smarter, and works with confidence across any environment. Start reading now.
Python In Containers
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Author : Kris Celmer
language : en
Publisher:
Release Date : 2020
Python In Containers written by Kris Celmer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
All about containers, Docker, and Kubernetes for Python engineers. About This Video Become well-versed with using Docker tools to create top-class containers running your Python code Master Docker runtime tools such as Compose and Swarm Design your applications to run on Kubernetes and master writing Kubernetes object declarations In Detail Docker and Kubernetes are must-have skills for Python engineers these days. Whether your focus is on machine learning and data science or you use Python as a general programming language, you must understand Docker and Kubernetes, as they form the basis of modern cloud-native applications built using microservice architectures. In this course, you'll learn to do the following: Develop and explore machine learning, data science, and Jupyter Notebooks in Docker Run machine learning models in production with Kubernetes and Docker Swarm Package your Python code into containers Publish your containers in image registries Deploy containers to production, both in Docker and Kubernetes Build highly modular, container-based services in a microservices way Monitor and maintain containerized apps You can use the course in two ways: If you use Python for machine learning and data science, go top-down - start with section 7 to quickly develop practical Docker skills and use sections 2 to 6 to delve deeper into specific container topics If you want to use Python for building web apps and microservices, try the bottom-up approach - use the course in a linear way.
Python For Programmers
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Author : Paul Deitel
language : en
Publisher: Prentice Hall
Release Date : 2019-03-15
Python For Programmers written by Paul Deitel and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Computers categories.
The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® WatsonTM, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop®, SparkTM and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google TranslateTM, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more. Features 500+ hands-on, real-world, live-code examples from snippets to case studies IPython + code in Jupyter® Notebooks Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions Procedural, functional-style and object-oriented programming Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames Static, dynamic and interactive visualizations Data experiences with real-world datasets and data sources Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression AI, big data and cloud data science case studies: NLP, data mining Twitter®, IBM® WatsonTM, machine learning, deep learning, computer vision, Hadoop®, SparkTM, NoSQL, IoT Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and more Accompanying code examples are available here: http://ptgmedia.pearsoncmg.com/imprint_downloads/informit/bookreg/9780135224335/9780135224335_examples.zip. Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for more information.
Practical Python Backend Programming
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Author : Tim Peters
language : en
Publisher: GitforGits
Release Date : 2024-01-31
Practical Python Backend Programming written by Tim Peters and has been published by GitforGits this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Computers categories.
"Practical Python Backend Programming" is a quick pragmatic book that teaches both new and experienced developers the fundamentals of backend development with Python. All sorts of developers, from Python programmers to non-Python programmers, full stack developers, and web developers, will find what they need to know to become experts in backend programming in this entire book. The book covers key topics in backend development, including how to set up stable development environments and how to use virtual environments for better dependency management. With this book, readers will have a firm grasp of Python programming with an emphasis on backend tasks by learning the language's syntax, data structures, and functions. The book teaches you to create and launch dynamic web apps by providing an in-depth look at web frameworks such as Flask and FastAPI. It teaches SQLAlchemy for efficient data handling and advanced database integration, and it shows to improve applications with databases like PostgreSQL, MySQL, and MongoDB. Strategies for managing concurrent operations and improving performance are also covered in the book, along with asynchronous programming in Python. This book delves into various authentication methods, secure communication protocols such as HTTPS, and techniques to secure REST APIs. For efficient management of asynchronous tasks and real-time data processing, it also introduces message brokers such as RabbitMQ and Kafka. The book teaches its readers how to containerize apps and manage them on a large scale by integrating technologies like Docker and Kubernetes. It goes on to talk about how to use serverless architectures, how to use modern tools for continuous integration and deployment, and how to deploy apps to cloud platforms like AWS. Key Learnings Build dynamic web apps with strong backend logic using Flask and FastAPI. Write efficient, well-structured backend code by learning Python's syntax, functions, and best practices. Make your apps more efficient and scalable by using asynchronous programming techniques. Investigate Kubernetes and Docker to orchestrate and containerize apps for improved deployment and scalability. Use AWS's cloud services to deploy apps with guaranteed uptime and lightning-fast performance. Improve efficiency and compatibility by setting up and managing Python development environments. Enhance your data handling capabilities by learning to integrate and manipulate databases using SQLAlchemy. Protect online apps with OAuth and JWT's sophisticated authorization and authentication features. Efficiently process data in real-time and broker messages with RabbitMQ and Kafka. Streamline processes, cut down on mistakes, and implement continuous integration and deployment by following best practices. Table of Content Fundamentals of Backend Development Building Your First Web Application with Flask Advanced Flask Development Introduction to FastAPI Working with Databases Asynchronous Programming in Python User Management and Security Deploying Python Backend Applications Microservices and Cloud Integration Message Brokers and Asynchronous Task Processing
Practical Iot Edge Computing With Python
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Author : Dr. Rajasi Tushar Athawale
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-09-24
Practical Iot Edge Computing With Python written by Dr. Rajasi Tushar Athawale and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-24 with Computers categories.
TAGLINE Build Real-time IoT Solutions Using Python, Edge, and Docker Tools. KEY FEATURES ● Explore real-world IoT use-cases using Python and edge computing. ● Hands-on projects on embedded devices like Raspberry Pi and Jetson Nano. ● Learn edge-cloud integration, Docker, and protocols such as MQTT and CoAP. ● Covers security, streaming data, and future edge computing trends. DESCRIPTION The Internet of Things (IoT) is reshaping the way the world collects, processes, and responds to data—from smart homes and wearables to autonomous vehicles and industrial automation. As the demand for fast, secure, and intelligent data handling grows, edge computing becomes a key enabler, pushing computation closer to the source and reducing latency, cloud dependency, and security risks. Practical IoT Edge Computing with Python equips readers with a complete, hands-on roadmap to build robust, real-time IoT systems, using edge devices and Python. You will begin by understanding the core concepts of IoT, and the limitations of traditional cloud-based models. Thus, step by step, you will move through building an IoT data pipeline, integrating edge and cloud, and deploying on devices like Raspberry Pi and Jetson Nano, as well as working with protocols such as MQTT and CoAP. You will also gain practical experience with data preprocessing, edge intelligence, containerization (Docker/Kubernetes), and security measures like blockchain. Each chapter builds your confidence to design scalable, secure, and responsive IoT systems. Hence, whether you are a student, developer, or industry professional, this book offers the tools and knowledge to turn IoT concepts into fully functioning edge solutions. Thus, start your edge computing journey today—where real-time intelligence meets real-world impact. WHAT WILL YOU LEARN ● Understand edge vs. cloud computing in IoT system architectures. ● Build IoT data pipelines including pre-processing and analysis steps. ● Deploy Python-based data processing on embedded edge platforms. ● Use networking protocols (MQTT, CoAP and AMQP) in edge devices. ● Containerize models with Docker/Kubernetes for edge deployment. ● Secure IoT systems with blockchain, and understand privacy challenges. WHO IS THIS BOOK FOR? This book is ideal for IoT Engineers, Data Analysts, AI/ML Engineers, Embedded Systems Developers, Network Architects, and Cloud-Edge Integration Specialists. The book will also be useful for undergraduate students, IoT enthusiasts, and professionals with foundational Python and ML skills, as well as intermediate knowledge of OS, databases, and networks. TABLE OF CONTENTS 1. Introduction to IoT and Edge 2. Conventional Cloud versus Edge 3. Building IoT Data Pipelines 4. Integrating Edge with Cloud in IoT Architecture 5. Exploring Edge Platforms and Devices 6. IoT Data Networking at Edge 7. Pre-Processing Data on Edge Devices 8. Leveraging Edge Intelligence 9. Streaming Data Processing 10. Containerization Technology for Edge Intelligence 11. Data Security and Privacy 12. Future Trends Index
Python Microservices Development
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Author : Tarek Ziadé
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-25
Python Microservices Development written by Tarek Ziadé 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 2017-07-25 with Computers categories.
A practical approach to conquering the complexities of Microservices using the Python tooling ecosystem Key Features A very useful guide for Python developers who are shifting to the new microservices-based development A concise, up-to-date guide to building efficient and lightweight microservices in Python using Flask, Tox, and other tools Learn to use Docker containers, CoreOS, and Amazon Web Services to deploy your services Book DescriptionWe often deploy our web applications into the cloud, and our code needs to interact with many third-party services. An efficient way to build applications to do this is through microservices architecture. But, in practice, it's hard to get this right due to the complexity of all the pieces interacting with each other. This book will teach you how to overcome these issues and craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical book: you’ll build everything using Python 3 and its amazing tooling ecosystem. You will understand the principles of TDD and apply them. You will use Flask, Tox, and other tools to build your services using best practices. You will learn how to secure connections between services, and how to script Nginx using Lua to build web application firewall features such as rate limiting. You will also familiarize yourself with Docker’s role in microservices, and use Docker containers, CoreOS, and Amazon Web Services to deploy your services. This book will take you on a journey, ending with the creation of a complete Python application based on microservices. By the end of the book, you will be well versed with the fundamentals of building, designing, testing, and deploying your Python microservices.What you will learn Explore what microservices are and how to design them Use Python 3, Flask, Tox, and other tools to build your services using best practices Learn how to use a TDD approach Discover how to document your microservices Configure and package your code in the best way Interact with other services Secure, monitor, and scale your services Deploy your services in Docker containers, CoreOS, and Amazon Web Services Who this book is for This book is for developers who have basic knowledge of Python, the command line, and HTTP-based application principles, and those who want to learn how to build, test, scale, and manage Python 3 microservices. No prior experience of writing microservices in Python is assumed.
Home Automation With Raspberry Pi Projects Using Google Home Amazon Echo And Other Intelligent Personal Assistants
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Author : Donald Norris
language : en
Publisher: McGraw Hill Professional
Release Date : 2019-05-03
Home Automation With Raspberry Pi Projects Using Google Home Amazon Echo And Other Intelligent Personal Assistants written by Donald Norris and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-03 with Technology & Engineering categories.
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Gain the skills needed to create a hi-tech home―affordably and easily This hands-on guide shows, step by step, how to use the powerful Raspberry Pi for home automation. Written in an easy-to-follow style, the book features DIY projects for Amazon Echo, Google Home, smart lightbulbs and thermostats, and more. Home Automation with Raspberry Pi: Projects Using Google Home, Amazon Echo, and Other Intelligent Personal Assistants lays out essential skills for hobbyists and makers of all ages and experience levels. You will discover how to build gadgets that can work in conjunction with―or in some cases replace―commercially available smart home products. Inside, you’ll learn how to: •Design and build custom home automation devices •Interface a Google Home device to your Raspberry Pi •Connect Google Voice Assistant to RasPi •Incorporate GPIO control using the Amazon Echo •Navigate home automation operating systems •Use Z-Wave in your RasPi HA projects •Apply fuzzy logic techniques to your projects •Work with sensors and develop home security systems •Utilize two open-source AI applications, Mycroft and Picroft •Tie your projects together to create an integrated home automation system
Docker From Zero To Hero
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Author : Kits for Life
language : en
Publisher: Independently Published
Release Date : 2025-02-17
Docker From Zero To Hero written by Kits for Life and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-17 with Computers categories.
Unlock the full potential of Docker and transform the way you develop, test, and deploy applications! Whether you're a beginner or an experienced developer, this step-by-step guide will take you from zero to hero in containerization. In this comprehensive book, you'll learn how to: ✅ Install and set up Docker on any system ✅ Build and manage containers efficiently ✅ Use Docker Compose to deploy full-stack applications ✅ Work with databases like PostgreSQL, MySQL, and MongoDB in containers ✅ Optimize containerized applications for scalability and security ✅ Deploy real-world projects using Node.js, Python, React, Vue, and Angular Perfect for developers, DevOps engineers, and IT professionals, this guide is filled with practical examples and hands-on projects to ensure you master Docker quickly.
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.