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portada Practical Python Backend Programming: Build Flask and Fastapi Applications, Asynchronous Programming, Containerization and Deploy Apps on Cloud
Type
Physical Book
Publisher
Author
Language
English
Pages
260
Format
Paperback
ISBN13
9788119177615

Practical Python Backend Programming: Build Flask and Fastapi Applications, Asynchronous Programming, Containerization and Deploy Apps on Cloud

Tim Peters (Author) · Gitforgits · Paperback

Practical Python Backend Programming: Build Flask and Fastapi Applications, Asynchronous Programming, Containerization and Deploy Apps on Cloud - Tim Peters

New Book Imported to Croatia
Delivery: 25 Aug - 28 Aug Shipping: 4 to 5 business days.
75,85 €
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75,85 €

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Synopsis "Practical Python Backend Programming: Build Flask and Fastapi Applications, Asynchronous Programming, Containerization and Deploy Apps on Cloud"

"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. 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.

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