Learning Django 5
Stein, Clara
Sold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since 7 April 2005
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: Over 20 available
Add to basketSold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since 7 April 2005
Condition: New
Quantity: Over 20 available
Add to basketNew Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller Inventory # L0-9788119177820
"Learning Django 5" is intended to help Python programmers, aspiring full stack developers, and web developers build robust and scalable web applications quickly and efficiently. with a basic understanding of Python scripting. Hands-on labs and interactive tasks are used throughout the book to help you practice and apply the concepts as you learn.
Beginning with a thorough introduction to Django 5, you'll learn how to install and configure Django on a Linux server, set up virtual environments, and create your first Django project, BookTech. The book walks you through the fundamentals of Django models and ORM, teaching you how to define models, perform database migrations, and interact with the ORM to optimize data querying. You will learn about Django views, including function-based and class-based views, URL mapping, and form handling. The templates section will show you how to create and inherit templates, use template tags and filters, and pass data to templates for dynamic rendering.
Advanced topics are thoroughly covered, including user authentication, permission management, and extending the default user model. You'll also learn how to use essential features like site maps, RSS feeds, and SEO optimization to boost your app's visibility and user engagement. The book then goes over deployment and scaling, teaching you how to containerize your application with Docker, deploy to cloud platforms like AWS, and set up continuous integration and deployment pipelines in Jenkins. You will learn how to maintain and monitor your application with tools such as Amazon CloudWatch, New Relic, and Sentry, ensuring that it runs smoothly in production.
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