Practical Python Backend Programming

<p><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Practical Python Backend Programming is a quick pragmatic book that teaches both new and experienced developers the fundamentals of backend development with Python. </span><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>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</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>.</span></p><p><br></p><p><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>The book covers key topics in backend development including </span><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>how to set up stable development environments and how to use virtual environments for better dependency management.</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)> The book teaches you to </span><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>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</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>.</span></p><p><br></p><p><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>This book delves into </span><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>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</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>.</span></p>