Essential Docker For Python Flask Development
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Essential Docker for Python Flask Development
"This course will teach you the essential knowledge required to integrate Docker in your everyday development flow. Docker is an easy way for developers to recreate a production-level server cluster locally in their desktop or laptop using very few resources. A lot of companies and startups are moving to Docker, because it speeds up the development process and reduces the amount of debugging that occurs when they create software against different versions of their operating system and libraries. The course covers the basic concepts and goes through the setup of different use cases, specifically Flask-related, from a simple web application to MySQL and MongoDB multi-server setups. At the end of the course students will be able to write solid Dockerfiles and Docker Compose configuration files that will allow them to write software against reliable environments and without the need to install packages like Python, MySQL or MongoDB. Just install the simple Docker client for Windows or Mac and you're set to go! If you already know the basics of Flask and you are interested in how to setup Docker containers for their development, this is the course for you. The course is divided in 3 sections: Introduction which covers all the concepts necessary to understand how Docker works and how to install it Simple Flask Containers which gently introduces to the basics of containers and how to write a good Dockerfile and how to interact with the containers Docker Compose which goes into the composing part of Docker, where with one file you can spawn a complete architecture stack, like an application server and a database server running in parallel and synchronized as production environments do The course has more than 2 hours of video tutorials as well as the source code at the end of each section, so that you can fork and play with the Docker setups. The course can take anywhere from 1 to 3 days to complete based on how much material the student completes daily. Additionally we're constantly updating the course, adding contents thanks to the feedback of our students."--Resource description page.
Python Programming Exam Essentials
Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cuttign-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Python for DevOps
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