Deploying Python APIs: From FastAPI to GitHub and Azure โ€” WalkSelf
โฑ 2 oras 42 min ๐Ÿ“š 27 aralin

Deploying Python APIs: From FastAPI to GitHub and Azure

Learn how to structure a FastAPI application, manage version control with Git, and prepare your Python API for automated deployment to Azure.

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Tungkol sa kursong ito

Building a powerful Python API is only the first step; getting it live on the web is where the real value begins. This text-based course guides you through the foundational concepts of API development, modern version control, and cloud preparation. You will transition from running a local FastAPI application to structuring it for the cloud, using Git and GitHub to manage your code, and preparing your configuration for Azure App Services. By reading through practical explanations and working through written exercises, you will gain the confidence to prepare any Python API for a modern cloud environment. What you'll learn: 1. Understand the foundational architecture of FastAPI, including type hints and routing basics. 2. Configure local Python virtual environments and modern dependency management. 3. Manage your API codebase using essential Git version control commands and GitHub repositories. 4. Prepare your application configuration and startup files for compatibility with Azure App Services. 5. Design basic CI/CD pipeline concepts using GitHub Actions to automate your integration workflow. 6. Apply secure environment variable practices to protect sensitive API keys and database credentials. You will start with key terminology and foundational definitions of APIs, Git, and cloud services before diving into step-by-step code structures and configuration files. The course guides you logically from your local development setup to a cloud-ready repository structure. This course is designed for beginner Python developers and aspiring web engineers who want to learn how to bridge the gap between local code and cloud deployment. No prior experience with Azure or advanced DevOps is required. Read on to build, structure, and prepare your Python APIs for the cloud today.

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    2 oras 42 min ng practical content

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