Python In Production
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Python In Production
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Author : Pythquill Publishing
language : en
Publisher: Independently Published
Release Date : 2025-06-23
Python In Production written by Pythquill Publishing and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-23 with Computers categories.
What You Will Learn in This Book Master the deployment lifecycle: Understand the entire journey of a web application from local development to being live in production environments. Prepare applications for production: Get your Python application ready for prime time with best practices for code structure, configuration, dependency management, logging, and serving static files. Utilize essential tools: Leverage fundamental development tools like Git for version control and various task runners to streamline your daily workflow. Choose and configure WSGI/ASGI servers: Make informed decisions and properly set up Gunicorn, uWSGI, Uvicorn, and Daphne for optimal application performance and stability. Grasp Docker fundamentals: Understand the core concepts of containerization and Docker and effectively Dockerize your Python web applications. Orchestrate with Docker Compose: Seamlessly manage multi-container development environments for your applications, including databases and caches. Deploy to Virtual Private Servers (VPS): Learn the ins and outs of traditional server deployment, including server setup, hardening, reverse proxy configuration with Nginx, and process management. Deploy to Platform as a Service (PaaS): Discover how to efficiently deploy Python applications to services like Heroku, AWS Elastic Beanstalk, and Google App Engine. Transition Docker to production: Successfully move your Dockerized applications from development to live production environments, including using container registries. Introduce Kubernetes for Python apps: Get a solid foundation in Kubernetes core concepts and learn how to deploy, manage, and scale your Python applications within a cluster. Explore serverless deployment (FaaS): Understand and implement event-driven architectures using serverless functions with AWS Lambda, Google Cloud Functions, and Azure Functions. Implement CI/CD pipelines: Automate your development and deployment processes with Continuous Integration and Continuous Deployment, using tools like GitHub Actions and GitLab CI/CD. Establish monitoring and alerting: Set up robust systems to track application and system health, identify issues proactively, and ensure continuous operation. Strategically scale your application: Learn techniques for vertical and horizontal scaling, including load balancing, autoscaling, and database optimization. Apply security best practices: Implement crucial security measures throughout your deployment, from HTTPS and server hardening to dependency auditing and disaster recovery planning. Manage production databases effectively: Learn how to handle database migrations, backups, restores, and performance tuning in a production setting. Automate infrastructure with IaC: Utilize Infrastructure as Code (IaC) tools like Terraform to provision and manage your deployment resources reproducibly. Dive into advanced Kubernetes: Explore more complex Kubernetes concepts such as Helm charts, StatefulSets, and service meshes for sophisticated deployments. Understand microservices deployment: Gain insights into the unique considerations and patterns for deploying Python-based microservices. Stay current with future trends: Keep up-to-date with emerging technologies and best practices in Python web deployment. Troubleshoot common issues: Effectively diagnose and resolve common deployment problems, leveraging provided resources for ongoing learning.
Efficient Python Production Workflows
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Author :
language : en
Publisher:
Release Date : 2019
Efficient Python Production Workflows written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Writing code can be easy, but maintaining a product is always a challenge. In this course, learn what it takes to efficiently manage your Python projects. Instructor Miki Tebeka delves into the ancillary tasks around Python programming, such as dependency management, development methodologies, metrics, logging, testing, and deployment. While these topics aren't strictly related to coding, they're essential to making sure your code is production ready. Learn how to tackle challenges related to dependency management, effectively approach testing, configure a logging system, design metrics, leverage different deployment strategies, and more.
Efficient Python Production Workflows
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Author :
language : en
Publisher:
Release Date : 2019
Efficient Python Production Workflows written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Writing code can be easy, but maintaining a product is always a challenge. In this course, learn how to efficiently manage your Python projects and make them production ready.
Data Mesh In Action
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Author : Jacek Majchrzak
language : en
Publisher: Simon and Schuster
Release Date : 2023-03-21
Data Mesh In Action written by Jacek Majchrzak and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.
Revolutionize the way your organization approaches data with a data mesh! This new decentralized architecture outpaces monolithic lakes and warehouses and can work for a company of any size. In Data Mesh in Action you will learn how to: Implement a data mesh in your organization Turn data into a data product Move from your current data architecture to a data mesh Identify data domains, and decompose an organization into smaller, manageable domains Set up the central governance and local governance levels over data Balance responsibilities between the two levels of governance Establish a platform that allows efficient connection of distributed data products and automated governance Data Mesh in Action reveals how this groundbreaking architecture looks for both small startups and large enterprises. You won’t need any new technology—this book shows you how to start implementing a data mesh with flexible processes and organizational change. You’ll explore both an extended case study and multiple real-world examples. As you go, you’ll be expertly guided through discussions around Socio-Technical Architecture and Domain-Driven Design with the goal of building a sleek data-as-a-product system. Plus, dozens of workshop techniques for both in-person and remote meetings help you onboard colleagues and drive a successful transition. About the technology Business increasingly relies on efficiently storing and accessing large volumes of data. The data mesh is a new way to decentralize data management that radically improves security and discoverability. A well-designed data mesh simplifies self-service data consumption and reduces the bottlenecks created by monolithic data architectures. About the book Data Mesh in Action teaches you pragmatic ways to decentralize your data and organize it into an effective data mesh. You’ll start by building a minimum viable data product, which you’ll expand into a self-service data platform, chapter-by-chapter. You’ll love the book’s unique “sliders” that adjust the mesh to meet your specific needs. You’ll also learn processes and leadership techniques that will change the way you and your colleagues think about data. What's inside Decompose an organization into manageable domains Turn data into a data product Set up central and local governance levels Build a fit-for-purpose data platform Improve management, initiation, and support techniques About the reader For data professionals. Requires no specific programming stack or data platform. About the author Jacek Majchrzak is a hands-on lead data architect. Dr. Sven Balnojan manages data products and teams. Dr. Marian Siwiak is a data scientist and a management consultant for IT, scientific, and technical projects. Table of Contents PART 1 FOUNDATIONS 1 The what and why of the data mesh 2 Is a data mesh right for you? 3 Kickstart your data mesh MVP in a month PART 2 THE FOUR PRINCIPLES IN PRACTICE 4 Domain ownership 5 Data as a product 6 Federated computational governance 7 The self-serve data platform PART 3 INFRASTRUCTURE AND TECHNICAL ARCHITECTURE 8 Comparing self-serve data platforms 9 Solution architecture design
Aero Digest
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Author :
language : en
Publisher:
Release Date : 1948
Aero Digest written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1948 with Aeronautics categories.
Django For Professionals
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Author : William Vincent
language : en
Publisher: Welcometocode
Release Date : 2020-08-11
Django For Professionals written by William Vincent and has been published by Welcometocode this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-11 with categories.
Completely updated for Django 3.1Django for Professionals takes your web development skills to the next level, teaching you how to build production-ready websites with Python and Django.Once you have learned the basics of Django there is a massive gap between building simple "toy apps" and what it takes to build a "production-ready" web application suitable for deployment to thousands or even millions of users.In the book you'll learn how to:* Build a Bookstore website from scratch* Use Docker and PostgreSQL locally to mimic production settings* Implement advanced user registration with email * Write comprehensive tests while adding security and performance improvements* Add search and file/image uploads If you want to take advantage of all that Django has to offer, Django for Professionals is a comprehensive best practices guide to building and deploying modern websites.
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.
Monty Python
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Author : Richard Topping
language : en
Publisher: Virgin Books Limited
Release Date : 2007
Monty Python written by Richard Topping and has been published by Virgin Books Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Humor categories.
An appreciation of Monty Python offers an episode guide to the TV shows, summaries of the Python films, biographies of the Python members, and listings of film, book, audio recording, stage, and television endeavors.
Monograph On The Fossil Reptilia Of The London Clay
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Author : Richard Owen
language : en
Publisher:
Release Date : 1849
Monograph On The Fossil Reptilia Of The London Clay written by Richard Owen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1849 with England categories.
Python For Geeks
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Author : Muhammad Asif
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-10-20
Python For Geeks written by Muhammad Asif 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 2021-10-20 with Computers categories.
Take your Python skills to the next level to develop scalable, real-world applications for local as well as cloud deployment Key FeaturesAll code examples have been tested with Python 3.7 and Python 3.8 and are expected to work with any future 3.x releaseLearn how to build modular and object-oriented applications in PythonDiscover how to use advanced Python techniques for the cloud and clustersBook Description Python is a multipurpose language that can be used for multiple use cases. Python for Geeks will teach you how to advance in your career with the help of expert tips and tricks. You'll start by exploring the different ways of using Python optimally, both from the design and implementation point of view. Next, you'll understand the life cycle of a large-scale Python project. As you advance, you'll focus on different ways of creating an elegant design by modularizing a Python project and learn best practices and design patterns for using Python. You'll also discover how to scale out Python beyond a single thread and how to implement multiprocessing and multithreading in Python. In addition to this, you'll understand how you can not only use Python to deploy on a single machine but also use clusters in private as well as in public cloud computing environments. You'll then explore data processing techniques, focus on reusable, scalable data pipelines, and learn how to use these advanced techniques for network automation, serverless functions, and machine learning. Finally, you'll focus on strategizing web development design using the techniques and best practices covered in the book. By the end of this Python book, you'll be able to do some serious Python programming for large-scale complex projects. What you will learnUnderstand how to design and manage complex Python projectsStrategize test-driven development (TDD) in PythonExplore multithreading and multiprogramming in PythonUse Python for data processing with Apache Spark and Google Cloud Platform (GCP)Deploy serverless programs on public clouds such as GCPUse Python to build web applications and application programming interfacesApply Python for network automation and serverless functionsGet to grips with Python for data analysis and machine learningWho this book is for This book is for intermediate-level Python developers in any field who are looking to build their skills to develop and manage large-scale complex projects. Developers who want to create reusable modules and Python libraries and cloud developers building applications for cloud deployment will also find this book useful. Prior experience with Python will help you get the most out of this book.